[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-microsoft-setup-datamodel":3,"mdc--vcjce5-key":43,"related-org-microsoft-setup-datamodel":2466,"related-repo-microsoft-setup-datamodel":2661},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":38,"sourceUrl":41,"mdContent":42},"setup-datamodel","set up Dataverse data models for Power Pages","Creates Dataverse tables, columns, and relationships for a Power Pages site based on a data model proposal. Use when the user wants to set up the data model, create database tables, or build the Dataverse schema for their site.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"microsoft","Microsoft","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fmicrosoft.png",[12,16,17,20,23],{"name":13,"slug":14,"type":15},"Power Pages","power-pages","tag",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},"Database","database",{"name":21,"slug":22,"type":15},"Data Modeling","data-modeling",{"name":24,"slug":25,"type":15},"Dataverse","dataverse",564,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fpower-platform-skills","2026-04-06T18:34:36.007644",null,114,[32,33,34,35,36,14,37],"claude-code-plugin","claude-code-skills","code-apps","github-copilot-plugin","power-apps","power-platform",{"repoUrl":27,"stars":26,"forks":30,"topics":39,"description":40},[32,33,34,35,36,14,37],"A plugin marketplace for Claude Code\u002FGitHub Copilot that provides Power Platform development plugins, including reusable skills, agents, and commands for building and deploying solutions.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fpower-platform-skills\u002Ftree\u002FHEAD\u002Fplugins\u002Fpower-pages\u002Fskills\u002Fsetup-datamodel","---\nname: setup-datamodel\ndescription: >-\n  Creates Dataverse tables, columns, and relationships for a Power Pages site based on a data\n  model proposal. Use when the user wants to set up the data model, create database tables,\n  or build the Dataverse schema for their site.\nuser-invocable: true\nallowed-tools: Read, Write, Bash, Grep, Glob, AskUserQuestion, Task, TaskCreate, TaskUpdate, TaskList, mcp__plugin_power-pages_microsoft-learn__microsoft_docs_search, mcp__plugin_power-pages_microsoft-learn__microsoft_code_sample_search, mcp__plugin_power-pages_microsoft-learn__microsoft_docs_fetch\nmodel: opus\n---\n\n> **Plugin check**: Run `node \"${PLUGIN_ROOT}\u002Fscripts\u002Fcheck-version.js\"` — if it outputs a message, show it to the user before proceeding.\n\n# Set Up Dataverse Data Model\n\nGuide the user through creating Dataverse tables, columns, and relationships for their Power Pages site. Follow a systematic approach: verify prerequisites, obtain a data model (via AI analysis or user-provided diagram), review and approve, then create all schema objects via OData API.\n\n## Core Principles\n\n- **Never create without approval**: Always present the full data model proposal and get explicit user confirmation before making any Dataverse changes.\n- **Use TaskCreate\u002FTaskUpdate**: Track all progress throughout all phases — create the todo list upfront with all phases before starting any work.\n- **Resilient execution**: Refresh tokens proactively, check for existing tables before creating, and report failures without automated rollback.\n\n**Initial request:** $ARGUMENTS\n\n---\n\n## Phase 1: Verify Prerequisites\n\n**Goal**: Confirm PAC CLI authentication, acquire an Azure CLI token, and verify API access\n\n**Actions**:\n\n1. Create todo list with all 8 phases (see [Progress Tracking](#progress-tracking) table)\n2. Follow the prerequisite steps in `${PLUGIN_ROOT}\u002Freferences\u002Fdataverse-prerequisites.md` to verify PAC CLI auth, acquire an Azure CLI token, and confirm API access. Note the environment URL as `\u003CenvUrl>` for subsequent script calls.\n\n**Output**: Verified PAC CLI auth, valid Azure CLI token, confirmed API access, `\u003CenvUrl>` noted\n\n---\n\n## Phase 2: Choose Data Model Source\n\n**Goal**: Determine whether the user will upload an existing ER diagram or let AI analyze the site\n\n**Actions**:\n\n\u003C!-- gate: setup-datamodel:2.source | category=plan | cancel-leaves=nothing -->\n\n> 🚦 **Gate (plan · setup-datamodel:2.source):** Decide whether the user uploads an existing ER diagram or the data-model-architect agent infers the model. Choice routes the rest of the skill into Path A vs Path B.\n>\n> **Trigger:** Entering Phase 2.\n> **Why we ask:** Auto-picking either path can run a multi-minute architect agent against the wrong intent (Path B) or skip Dataverse-existence checks (Path A).\n> **Cancel leaves:** Nothing — no Dataverse calls made yet.\n\n1. Ask the user how they want to define the data model using the `AskUserQuestion` tool:\n\n   **Question**: \"How would you like to define the data model for your site?\"\n\n   | Option | Description |\n   |--------|-------------|\n   | **Upload an existing ER diagram** | Provide an image (PNG\u002FJPG) or Mermaid diagram of your existing data model |\n   | **Let the Data Model Architect figure it out** | The Data Model Architect will analyze your site's source code and propose a data model automatically |\n\n2. Route to the appropriate path:\n\n### Path A: Upload Existing ER Diagram\n\nIf the user chooses to upload an existing diagram:\n\n1. Ask the user to provide their ER diagram. Supported formats:\n   - **Image file** (PNG, JPG) — Use the `Read` tool to view the image and extract tables, columns, relationships, and cardinalities from it\n   - **Mermaid syntax** — The user can paste Mermaid ER diagram text directly in chat\n   - **Text description** — A structured list of tables, columns, and relationships\n\n2. Parse the diagram into the same structured format used by the data-model-architect agent:\n   - Publisher prefix (ask the user, or retrieve from the environment via `pac env who`)\n   - Table definitions: `logicalName`, `displayName`, `status` (new\u002Fmodified\u002Freused), `columns`, `relationships`\n   - Column definitions: `logicalName`, `displayName`, `type`, `required`\n   - Relationship definitions: type (1:N or M:N), referenced\u002Freferencing tables\n\n3. Query existing Dataverse tables (same as Phase 3 would) to mark each table as `new`, `modified`, or `reused`.\n\n4. Generate a Mermaid ER diagram from the parsed data (if the user provided an image or text) for visual confirmation.\n\n5. Proceed directly to **Phase 4: Review Proposal** with the parsed data model.\n\n### Path B: Let the Data Model Architect Figure It Out\n\nIf the user chooses to let the Data Model Architect figure it out, proceed to **Phase 3: Invoke Data Model Architect** (the existing automated flow).\n\n**Output**: Data model source chosen and, for Path A, parsed data model ready for review\n\n---\n\n## Phase 3: Invoke Data Model Architect\n\n**Goal**: Spawn the data-model-architect agent to autonomously analyze the site and propose a data model\n\n**Actions**:\n\n1. Use the `Task` tool to spawn the `data-model-architect` agent. This agent autonomously:\n   - Analyzes the site's source code to infer data requirements\n   - Queries existing Dataverse tables via OData GET requests\n   - Identifies reuse opportunities (reuse, extend, or create new)\n   - Proposes a complete data model with an ER diagram\n\n2. Spawn the agent:\n\n   ```\n   Task tool:\n     subagent_type: general-purpose\n     prompt: |\n       You are the data-model-architect agent. Follow the instructions in\n       the agent definition file at:\n       ${PLUGIN_ROOT}\u002Fagents\u002Fdata-model-architect.md\n\n       Analyze the current project and Dataverse environment, then propose\n       a complete data model. Return:\n       1. Publisher prefix\n       2. Table definitions (logicalName, displayName, status, columns, relationships)\n       3. Mermaid ER diagram\n   ```\n\n3. Wait for the agent to return its structured proposal before proceeding.\n\n**Output**: Structured data model proposal from the agent (publisher prefix, table definitions, ER diagram)\n\n---\n\n## Phase 4: Review Proposal\n\n**Goal**: Present the data model proposal to the user and get explicit approval before creating anything\n\n**Actions**:\n\n### 4.1 Present Proposal\n\nPresent the data model proposal directly to the user as a formatted message, including:\n\n- Publisher prefix\n- All proposed tables with columns (logical names + display names)\n- Relationship descriptions\n- Mermaid ER diagram\n- Which tables are new vs. modified vs. reused\n\n### 4.2 Get User Approval\n\n\u003C!-- gate: setup-datamodel:4.2.approval | category=plan | cancel-leaves=nothing -->\n\n> 🚦 **Gate (plan · setup-datamodel:4.2.approval):** Final sign-off on the data model proposal before any Dataverse write. Cancel here stops the skill with zero side effects.\n>\n> **Trigger:** Phase 4.1 rendered the proposal (tables, columns, relationships, ER diagram).\n> **Why we ask:** Tables and columns get created in Dataverse against the user's actual schema intent — column types and relationship cardinalities are awkward to undo.\n> **Cancel leaves:** Nothing — no `EntityDefinitions` POST yet, no `.datamodel-manifest.json` write.\n\nUse `AskUserQuestion` to get approval:\n\n| Question | Header | Options |\n|----------|--------|---------|\n| Does this data model look correct? | Data Model Proposal | Approve and create tables (Recommended), Request changes, Cancel |\n\n- **If \"Approve and create tables (Recommended)\"**: Proceed to Phase 5\n- **If \"Request changes\"**: Ask what they want changed, modify the proposal, and re-present for approval\n- **If \"Cancel\"**: Stop the skill\n\nOnly proceed to creation after explicit user approval.\n\n**Output**: User-approved data model proposal\n\n---\n\n## Phase 5: Pre-Creation Checks\n\n**Goal**: Refresh the token, verify what already exists in Dataverse, and build the creation plan to avoid duplicates\n\n**Actions**:\n\n### 5.1 Refresh Token\n\nRe-acquire the auth token (tokens expire after ~60 minutes):\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fverify-dataverse-access.js\" \u003CenvUrl>\n```\n\n### 5.2 Query Existing Tables\n\nFor each table in the approved proposal marked as `new`, check whether it already exists:\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> GET \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions(LogicalName='\u003Ctable_logical_name>')\"\n```\n\n- **If 404**: Table does not exist, proceed to create it\n- **If 200**: Table already exists — skip creation, warn the user\n\nFor tables marked as `modified`, verify the table exists (it should) and check which columns are missing.\n\n### 5.3 Build Creation Plan\n\nFrom the pre-creation checks, build a list of:\n\n- Tables to create (new tables that don't exist yet)\n- Columns to add (new columns on existing\u002Fmodified tables)\n- Relationships to create\n- Tables\u002Fcolumns to skip (already exist)\n\nInform the user of any skipped items.\n\n**Output**: Finalized creation plan with tables, columns, and relationships to create or skip\n\n---\n\n## Phase 6: Create Tables & Columns\n\n**Goal**: Create each approved table and its columns using the Dataverse OData Web API\n\n**Actions**:\n\nRefer to `references\u002Fodata-api-patterns.md` for full JSON body templates.\n\n### 6.1 Create Tables\n\nFor each new table, POST to the EntityDefinitions endpoint:\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions\" --body '\u003CJSON body from references\u002Fodata-api-patterns.md>'\n```\n\nUse the deep-insert pattern to create the table and its columns in a single POST request. See `references\u002Fodata-api-patterns.md` for the complete JSON structure.\n\n### 6.2 Add Columns to Existing Tables\n\nFor tables marked as `modified`, add new columns one at a time:\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions(LogicalName='\u003Ctable>')\u002FAttributes\" --body '\u003Ccolumn JSON from references\u002Fodata-api-patterns.md>'\n```\n\n### 6.3 Track Progress\n\nTrack each creation attempt and its result (success\u002Ffailure\u002Fskipped). Do NOT attempt automated rollback on failure — report failures and continue with remaining items.\n\n### 6.4 Refresh Token if Needed\n\nIf creating many tables, the `dataverse-request.js` script handles 401 token refresh automatically. No manual refresh is needed between batches.\n\n**Output**: All approved tables and columns created (or failures reported)\n\n---\n\n## Phase 7: Create Relationships\n\n**Goal**: Create all relationships between the newly created and existing tables\n\n**Actions**:\n\n### 7.1 One-to-Many Relationships\n\nCreate lookup columns that establish 1:N relationships:\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FRelationshipDefinitions\" --body '\u003Crelationship JSON from references\u002Fodata-api-patterns.md>'\n```\n\n### 7.2 Many-to-Many Relationships\n\nCreate M:N relationships (intersect tables are created automatically):\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FRelationshipDefinitions\" --body '\u003CM:N relationship JSON from references\u002Fodata-api-patterns.md>'\n```\n\n### 7.3 Track Relationship Creation\n\nTrack each relationship creation attempt. Report failures without rolling back.\n\n**Output**: All approved relationships created (or failures reported)\n\n---\n\n## Phase 8: Publish & Verify\n\n**Goal**: Publish all customizations, verify tables exist, write the manifest, and present a summary\n\n**Actions**:\n\n### 8.1 Publish Customizations\n\nPublish all customizations so the new tables and columns become available:\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FPublishXml\" --body '{\"ParameterXml\":\"\u003Cimportexportxml>\u003Centities>\u003Centity>cr123_project\u003C\u002Fentity>\u003Centity>cr123_task\u003C\u002Fentity>\u003C\u002Fentities>\u003C\u002Fimportexportxml>\"}'\n```\n\nSee `references\u002Fodata-api-patterns.md` for the full PublishXml pattern.\n\n### 8.2 Verify Tables Exist\n\nFor each created table, run a verification query:\n\n```\nnode \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> GET \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions(LogicalName='\u003Ctable>')?$select=LogicalName,DisplayName\"\n```\n\n### 8.3 Write Manifest\n\nAfter successful verification, write `.datamodel-manifest.json` to the project root. This file records which tables and columns were verified to exist, and is used by the validation hook.\n\n```json\n{\n  \"environmentUrl\": \"https:\u002F\u002Forg12345.crm.dynamics.com\",\n  \"tables\": [\n    {\n      \"logicalName\": \"cr123_project\",\n      \"displayName\": \"Project\",\n      \"status\": \"new\",\n      \"columns\": [\n        { \"logicalName\": \"cr123_name\", \"type\": \"String\" },\n        { \"logicalName\": \"cr123_description\", \"type\": \"Memo\" }\n      ]\n    }\n  ]\n}\n```\n\nUse the `Write` tool to create this file at `\u003CPROJECT_ROOT>\u002F.datamodel-manifest.json`. Only include tables and columns that were confirmed to exist in Step 8.2. See `${PLUGIN_ROOT}\u002Freferences\u002Fdatamodel-manifest-schema.md` for the full schema specification.\n\n### 8.4 Record Skill Usage\n\n> Reference: `${PLUGIN_ROOT}\u002Freferences\u002Fskill-tracking-reference.md`\n\nFollow the skill tracking instructions in the reference to record this skill's usage. Use `--skillName \"SetupDatamodel\"`.\n\n### 8.5 Present Summary\n\nPresent a summary to the user:\n\n| Table | Status | Columns | Relationships |\n|-------|--------|---------|---------------|\n| `cr123_project` (Project) | Created | 5 columns | 2 relationships |\n| `contact` (Contact) | Reused | 1 column added | — |\n| `cr123_task` (Task) | Created | 4 columns | 1 relationship |\n\nInclude:\n\n- Total tables created\u002Fmodified\u002Freused\u002Ffailed\n- Total columns created\u002Fskipped\u002Ffailed\n- Total relationships created\u002Ffailed\n- Any errors encountered with details\n- Location of the manifest file (`.datamodel-manifest.json`)\n\n### 8.6 Suggest Next Steps\n\nAfter the summary, suggest:\n\n- Review created tables in the Power Pages maker portal\n- Populate tables with sample data for testing: `\u002Fadd-sample-data`\n- Integrate tables with your site's frontend via Web API: `\u002Fintegrate-webapi`\n- If the site is not yet built: `\u002Fcreate-site`\n- If the site is ready to deploy: `\u002Fdeploy-site`\n\n**Output**: Published customizations, verified tables, manifest written, summary presented\n\n---\n\n## Important Notes\n\n### Throughout All Phases\n\n- **Use TaskCreate\u002FTaskUpdate** to track progress at every phase\n- **Ask for user confirmation** at key decision points (see list below)\n- **Token refresh is automatic** — the `dataverse-request.js` script handles 401 token refresh and 429\u002F5xx retry internally\n- **Report failures without rollback** — track each creation attempt and continue with remaining items on failure\n\n### Key Decision Points (Wait for User)\n\n1. After Phase 2: Data model source chosen (upload vs. AI)\n2. After Phase 4: Approve data model proposal before any creation\n3. After Phase 5: Acknowledge any skipped items before proceeding\n4. After Phase 8: Review summary and choose next steps\n\n### Progress Tracking\n\nBefore starting Phase 1, create a task list with all phases using `TaskCreate`:\n\n| Task subject | activeForm | Description |\n|-------------|------------|-------------|\n| Verify prerequisites | Verifying prerequisites | Confirm PAC CLI auth, acquire Azure CLI token, verify API access |\n| Choose data model source | Choosing data model source | Ask user to upload ER diagram or let AI analyze the site |\n| Invoke data model architect | Invoking data model architect | Spawn agent to analyze site and propose data model |\n| Review and approve proposal | Reviewing proposal | Present data model proposal to user, get explicit approval |\n| Pre-creation checks | Running pre-creation checks | Refresh token, query existing tables, build creation plan |\n| Create tables and columns | Creating tables and columns | POST to OData API to create tables and columns |\n| Create relationships | Creating relationships | POST to OData API to create 1:N and M:N relationships |\n| Publish and verify | Publishing and verifying | Publish customizations, verify tables, write manifest, present summary |\n\nMark each task `in_progress` when starting it and `completed` when done via `TaskUpdate`. This gives the user visibility into progress and keeps the workflow deterministic.\n\n---\n\n**Begin with Phase 1: Verify Prerequisites**\n",{"data":44,"body":48},{"name":4,"description":6,"user-invocable":45,"allowed-tools":46,"model":47},true,"Read, Write, Bash, Grep, Glob, AskUserQuestion, Task, TaskCreate, TaskUpdate, TaskList, mcp__plugin_power-pages_microsoft-learn__microsoft_docs_search, mcp__plugin_power-pages_microsoft-learn__microsoft_code_sample_search, mcp__plugin_power-pages_microsoft-learn__microsoft_docs_fetch","opus",{"type":49,"children":50},"root",[51,78,85,90,97,132,142,146,152,162,172,211,228,231,237,246,254,293,385,392,397,588,594,606,615,618,623,632,640,709,718,721,726,735,743,749,754,782,788,839,851,895,928,933,942,945,951,960,968,974,979,988,994,1006,1015,1038,1050,1056,1061,1084,1089,1098,1101,1107,1116,1124,1137,1143,1148,1157,1169,1175,1186,1195,1201,1206,1212,1225,1234,1237,1243,1252,1260,1266,1271,1280,1286,1291,1300,1306,1311,1320,1323,1329,1338,1346,1352,1357,1366,1378,1384,1389,1398,1404,1416,1841,1869,1875,1889,1901,1907,1912,2029,2034,2068,2074,2079,2131,2140,2143,2149,2155,2204,2210,2233,2238,2250,2420,2449,2452,2460],{"type":52,"tag":53,"props":54,"children":55},"element","blockquote",{},[56],{"type":52,"tag":57,"props":58,"children":59},"p",{},[60,67,69,76],{"type":52,"tag":61,"props":62,"children":63},"strong",{},[64],{"type":65,"value":66},"text","Plugin check",{"type":65,"value":68},": Run ",{"type":52,"tag":70,"props":71,"children":73},"code",{"className":72},[],[74],{"type":65,"value":75},"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fcheck-version.js\"",{"type":65,"value":77}," — if it outputs a message, show it to the user before proceeding.",{"type":52,"tag":79,"props":80,"children":82},"h1",{"id":81},"set-up-dataverse-data-model",[83],{"type":65,"value":84},"Set Up Dataverse Data Model",{"type":52,"tag":57,"props":86,"children":87},{},[88],{"type":65,"value":89},"Guide the user through creating Dataverse tables, columns, and relationships for their Power Pages site. Follow a systematic approach: verify prerequisites, obtain a data model (via AI analysis or user-provided diagram), review and approve, then create all schema objects via OData API.",{"type":52,"tag":91,"props":92,"children":94},"h2",{"id":93},"core-principles",[95],{"type":65,"value":96},"Core Principles",{"type":52,"tag":98,"props":99,"children":100},"ul",{},[101,112,122],{"type":52,"tag":102,"props":103,"children":104},"li",{},[105,110],{"type":52,"tag":61,"props":106,"children":107},{},[108],{"type":65,"value":109},"Never create without approval",{"type":65,"value":111},": Always present the full data model proposal and get explicit user confirmation before making any Dataverse changes.",{"type":52,"tag":102,"props":113,"children":114},{},[115,120],{"type":52,"tag":61,"props":116,"children":117},{},[118],{"type":65,"value":119},"Use TaskCreate\u002FTaskUpdate",{"type":65,"value":121},": Track all progress throughout all phases — create the todo list upfront with all phases before starting any work.",{"type":52,"tag":102,"props":123,"children":124},{},[125,130],{"type":52,"tag":61,"props":126,"children":127},{},[128],{"type":65,"value":129},"Resilient execution",{"type":65,"value":131},": Refresh tokens proactively, check for existing tables before creating, and report failures without automated rollback.",{"type":52,"tag":57,"props":133,"children":134},{},[135,140],{"type":52,"tag":61,"props":136,"children":137},{},[138],{"type":65,"value":139},"Initial request:",{"type":65,"value":141}," $ARGUMENTS",{"type":52,"tag":143,"props":144,"children":145},"hr",{},[],{"type":52,"tag":91,"props":147,"children":149},{"id":148},"phase-1-verify-prerequisites",[150],{"type":65,"value":151},"Phase 1: Verify Prerequisites",{"type":52,"tag":57,"props":153,"children":154},{},[155,160],{"type":52,"tag":61,"props":156,"children":157},{},[158],{"type":65,"value":159},"Goal",{"type":65,"value":161},": Confirm PAC CLI authentication, acquire an Azure CLI token, and verify API access",{"type":52,"tag":57,"props":163,"children":164},{},[165,170],{"type":52,"tag":61,"props":166,"children":167},{},[168],{"type":65,"value":169},"Actions",{"type":65,"value":171},":",{"type":52,"tag":173,"props":174,"children":175},"ol",{},[176,190],{"type":52,"tag":102,"props":177,"children":178},{},[179,181,188],{"type":65,"value":180},"Create todo list with all 8 phases (see ",{"type":52,"tag":182,"props":183,"children":185},"a",{"href":184},"#progress-tracking",[186],{"type":65,"value":187},"Progress Tracking",{"type":65,"value":189}," table)",{"type":52,"tag":102,"props":191,"children":192},{},[193,195,201,203,209],{"type":65,"value":194},"Follow the prerequisite steps in ",{"type":52,"tag":70,"props":196,"children":198},{"className":197},[],[199],{"type":65,"value":200},"${PLUGIN_ROOT}\u002Freferences\u002Fdataverse-prerequisites.md",{"type":65,"value":202}," to verify PAC CLI auth, acquire an Azure CLI token, and confirm API access. Note the environment URL as ",{"type":52,"tag":70,"props":204,"children":206},{"className":205},[],[207],{"type":65,"value":208},"\u003CenvUrl>",{"type":65,"value":210}," for subsequent script calls.",{"type":52,"tag":57,"props":212,"children":213},{},[214,219,221,226],{"type":52,"tag":61,"props":215,"children":216},{},[217],{"type":65,"value":218},"Output",{"type":65,"value":220},": Verified PAC CLI auth, valid Azure CLI token, confirmed API access, ",{"type":52,"tag":70,"props":222,"children":224},{"className":223},[],[225],{"type":65,"value":208},{"type":65,"value":227}," noted",{"type":52,"tag":143,"props":229,"children":230},{},[],{"type":52,"tag":91,"props":232,"children":234},{"id":233},"phase-2-choose-data-model-source",[235],{"type":65,"value":236},"Phase 2: Choose Data Model Source",{"type":52,"tag":57,"props":238,"children":239},{},[240,244],{"type":52,"tag":61,"props":241,"children":242},{},[243],{"type":65,"value":159},{"type":65,"value":245},": Determine whether the user will upload an existing ER diagram or let AI analyze the site",{"type":52,"tag":57,"props":247,"children":248},{},[249,253],{"type":52,"tag":61,"props":250,"children":251},{},[252],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":53,"props":255,"children":256},{},[257,269],{"type":52,"tag":57,"props":258,"children":259},{},[260,262,267],{"type":65,"value":261},"🚦 ",{"type":52,"tag":61,"props":263,"children":264},{},[265],{"type":65,"value":266},"Gate (plan · setup-datamodel:2.source):",{"type":65,"value":268}," Decide whether the user uploads an existing ER diagram or the data-model-architect agent infers the model. Choice routes the rest of the skill into Path A vs Path B.",{"type":52,"tag":57,"props":270,"children":271},{},[272,277,279,284,286,291],{"type":52,"tag":61,"props":273,"children":274},{},[275],{"type":65,"value":276},"Trigger:",{"type":65,"value":278}," Entering Phase 2.\n",{"type":52,"tag":61,"props":280,"children":281},{},[282],{"type":65,"value":283},"Why we ask:",{"type":65,"value":285}," Auto-picking either path can run a multi-minute architect agent against the wrong intent (Path B) or skip Dataverse-existence checks (Path A).\n",{"type":52,"tag":61,"props":287,"children":288},{},[289],{"type":65,"value":290},"Cancel leaves:",{"type":65,"value":292}," Nothing — no Dataverse calls made yet.",{"type":52,"tag":173,"props":294,"children":295},{},[296,380],{"type":52,"tag":102,"props":297,"children":298},{},[299,301,307,309,313,318,320],{"type":65,"value":300},"Ask the user how they want to define the data model using the ",{"type":52,"tag":70,"props":302,"children":304},{"className":303},[],[305],{"type":65,"value":306},"AskUserQuestion",{"type":65,"value":308}," tool:",{"type":52,"tag":310,"props":311,"children":312},"br",{},[],{"type":52,"tag":61,"props":314,"children":315},{},[316],{"type":65,"value":317},"Question",{"type":65,"value":319},": \"How would you like to define the data model for your site?\"",{"type":52,"tag":321,"props":322,"children":323},"table",{},[324,343],{"type":52,"tag":325,"props":326,"children":327},"thead",{},[328],{"type":52,"tag":329,"props":330,"children":331},"tr",{},[332,338],{"type":52,"tag":333,"props":334,"children":335},"th",{},[336],{"type":65,"value":337},"Option",{"type":52,"tag":333,"props":339,"children":340},{},[341],{"type":65,"value":342},"Description",{"type":52,"tag":344,"props":345,"children":346},"tbody",{},[347,364],{"type":52,"tag":329,"props":348,"children":349},{},[350,359],{"type":52,"tag":351,"props":352,"children":353},"td",{},[354],{"type":52,"tag":61,"props":355,"children":356},{},[357],{"type":65,"value":358},"Upload an existing ER diagram",{"type":52,"tag":351,"props":360,"children":361},{},[362],{"type":65,"value":363},"Provide an image (PNG\u002FJPG) or Mermaid diagram of your existing data model",{"type":52,"tag":329,"props":365,"children":366},{},[367,375],{"type":52,"tag":351,"props":368,"children":369},{},[370],{"type":52,"tag":61,"props":371,"children":372},{},[373],{"type":65,"value":374},"Let the Data Model Architect figure it out",{"type":52,"tag":351,"props":376,"children":377},{},[378],{"type":65,"value":379},"The Data Model Architect will analyze your site's source code and propose a data model automatically",{"type":52,"tag":102,"props":381,"children":382},{},[383],{"type":65,"value":384},"Route to the appropriate path:",{"type":52,"tag":386,"props":387,"children":389},"h3",{"id":388},"path-a-upload-existing-er-diagram",[390],{"type":65,"value":391},"Path A: Upload Existing ER Diagram",{"type":52,"tag":57,"props":393,"children":394},{},[395],{"type":65,"value":396},"If the user chooses to upload an existing diagram:",{"type":52,"tag":173,"props":398,"children":399},{},[400,446,543,571,576],{"type":52,"tag":102,"props":401,"children":402},{},[403,405],{"type":65,"value":404},"Ask the user to provide their ER diagram. Supported formats:",{"type":52,"tag":98,"props":406,"children":407},{},[408,426,436],{"type":52,"tag":102,"props":409,"children":410},{},[411,416,418,424],{"type":52,"tag":61,"props":412,"children":413},{},[414],{"type":65,"value":415},"Image file",{"type":65,"value":417}," (PNG, JPG) — Use the ",{"type":52,"tag":70,"props":419,"children":421},{"className":420},[],[422],{"type":65,"value":423},"Read",{"type":65,"value":425}," tool to view the image and extract tables, columns, relationships, and cardinalities from it",{"type":52,"tag":102,"props":427,"children":428},{},[429,434],{"type":52,"tag":61,"props":430,"children":431},{},[432],{"type":65,"value":433},"Mermaid syntax",{"type":65,"value":435}," — The user can paste Mermaid ER diagram text directly in chat",{"type":52,"tag":102,"props":437,"children":438},{},[439,444],{"type":52,"tag":61,"props":440,"children":441},{},[442],{"type":65,"value":443},"Text description",{"type":65,"value":445}," — A structured list of tables, columns, and relationships",{"type":52,"tag":102,"props":447,"children":448},{},[449,451],{"type":65,"value":450},"Parse the diagram into the same structured format used by the data-model-architect agent:",{"type":52,"tag":98,"props":452,"children":453},{},[454,467,508,538],{"type":52,"tag":102,"props":455,"children":456},{},[457,459,465],{"type":65,"value":458},"Publisher prefix (ask the user, or retrieve from the environment via ",{"type":52,"tag":70,"props":460,"children":462},{"className":461},[],[463],{"type":65,"value":464},"pac env who",{"type":65,"value":466},")",{"type":52,"tag":102,"props":468,"children":469},{},[470,472,478,480,486,487,493,495,501,502],{"type":65,"value":471},"Table definitions: ",{"type":52,"tag":70,"props":473,"children":475},{"className":474},[],[476],{"type":65,"value":477},"logicalName",{"type":65,"value":479},", ",{"type":52,"tag":70,"props":481,"children":483},{"className":482},[],[484],{"type":65,"value":485},"displayName",{"type":65,"value":479},{"type":52,"tag":70,"props":488,"children":490},{"className":489},[],[491],{"type":65,"value":492},"status",{"type":65,"value":494}," (new\u002Fmodified\u002Freused), ",{"type":52,"tag":70,"props":496,"children":498},{"className":497},[],[499],{"type":65,"value":500},"columns",{"type":65,"value":479},{"type":52,"tag":70,"props":503,"children":505},{"className":504},[],[506],{"type":65,"value":507},"relationships",{"type":52,"tag":102,"props":509,"children":510},{},[511,513,518,519,524,525,531,532],{"type":65,"value":512},"Column definitions: ",{"type":52,"tag":70,"props":514,"children":516},{"className":515},[],[517],{"type":65,"value":477},{"type":65,"value":479},{"type":52,"tag":70,"props":520,"children":522},{"className":521},[],[523],{"type":65,"value":485},{"type":65,"value":479},{"type":52,"tag":70,"props":526,"children":528},{"className":527},[],[529],{"type":65,"value":530},"type",{"type":65,"value":479},{"type":52,"tag":70,"props":533,"children":535},{"className":534},[],[536],{"type":65,"value":537},"required",{"type":52,"tag":102,"props":539,"children":540},{},[541],{"type":65,"value":542},"Relationship definitions: type (1:N or M:N), referenced\u002Freferencing tables",{"type":52,"tag":102,"props":544,"children":545},{},[546,548,554,555,561,563,569],{"type":65,"value":547},"Query existing Dataverse tables (same as Phase 3 would) to mark each table as ",{"type":52,"tag":70,"props":549,"children":551},{"className":550},[],[552],{"type":65,"value":553},"new",{"type":65,"value":479},{"type":52,"tag":70,"props":556,"children":558},{"className":557},[],[559],{"type":65,"value":560},"modified",{"type":65,"value":562},", or ",{"type":52,"tag":70,"props":564,"children":566},{"className":565},[],[567],{"type":65,"value":568},"reused",{"type":65,"value":570},".",{"type":52,"tag":102,"props":572,"children":573},{},[574],{"type":65,"value":575},"Generate a Mermaid ER diagram from the parsed data (if the user provided an image or text) for visual confirmation.",{"type":52,"tag":102,"props":577,"children":578},{},[579,581,586],{"type":65,"value":580},"Proceed directly to ",{"type":52,"tag":61,"props":582,"children":583},{},[584],{"type":65,"value":585},"Phase 4: Review Proposal",{"type":65,"value":587}," with the parsed data model.",{"type":52,"tag":386,"props":589,"children":591},{"id":590},"path-b-let-the-data-model-architect-figure-it-out",[592],{"type":65,"value":593},"Path B: Let the Data Model Architect Figure It Out",{"type":52,"tag":57,"props":595,"children":596},{},[597,599,604],{"type":65,"value":598},"If the user chooses to let the Data Model Architect figure it out, proceed to ",{"type":52,"tag":61,"props":600,"children":601},{},[602],{"type":65,"value":603},"Phase 3: Invoke Data Model Architect",{"type":65,"value":605}," (the existing automated flow).",{"type":52,"tag":57,"props":607,"children":608},{},[609,613],{"type":52,"tag":61,"props":610,"children":611},{},[612],{"type":65,"value":218},{"type":65,"value":614},": Data model source chosen and, for Path A, parsed data model ready for review",{"type":52,"tag":143,"props":616,"children":617},{},[],{"type":52,"tag":91,"props":619,"children":621},{"id":620},"phase-3-invoke-data-model-architect",[622],{"type":65,"value":603},{"type":52,"tag":57,"props":624,"children":625},{},[626,630],{"type":52,"tag":61,"props":627,"children":628},{},[629],{"type":65,"value":159},{"type":65,"value":631},": Spawn the data-model-architect agent to autonomously analyze the site and propose a data model",{"type":52,"tag":57,"props":633,"children":634},{},[635,639],{"type":52,"tag":61,"props":636,"children":637},{},[638],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":173,"props":641,"children":642},{},[643,687,704],{"type":52,"tag":102,"props":644,"children":645},{},[646,648,654,656,662,664],{"type":65,"value":647},"Use the ",{"type":52,"tag":70,"props":649,"children":651},{"className":650},[],[652],{"type":65,"value":653},"Task",{"type":65,"value":655}," tool to spawn the ",{"type":52,"tag":70,"props":657,"children":659},{"className":658},[],[660],{"type":65,"value":661},"data-model-architect",{"type":65,"value":663}," agent. This agent autonomously:",{"type":52,"tag":98,"props":665,"children":666},{},[667,672,677,682],{"type":52,"tag":102,"props":668,"children":669},{},[670],{"type":65,"value":671},"Analyzes the site's source code to infer data requirements",{"type":52,"tag":102,"props":673,"children":674},{},[675],{"type":65,"value":676},"Queries existing Dataverse tables via OData GET requests",{"type":52,"tag":102,"props":678,"children":679},{},[680],{"type":65,"value":681},"Identifies reuse opportunities (reuse, extend, or create new)",{"type":52,"tag":102,"props":683,"children":684},{},[685],{"type":65,"value":686},"Proposes a complete data model with an ER diagram",{"type":52,"tag":102,"props":688,"children":689},{},[690,692],{"type":65,"value":691},"Spawn the agent:",{"type":52,"tag":693,"props":694,"children":698},"pre",{"className":695,"code":697,"language":65},[696],"language-text","Task tool:\n  subagent_type: general-purpose\n  prompt: |\n    You are the data-model-architect agent. Follow the instructions in\n    the agent definition file at:\n    ${PLUGIN_ROOT}\u002Fagents\u002Fdata-model-architect.md\n\n    Analyze the current project and Dataverse environment, then propose\n    a complete data model. Return:\n    1. Publisher prefix\n    2. Table definitions (logicalName, displayName, status, columns, relationships)\n    3. Mermaid ER diagram\n",[699],{"type":52,"tag":70,"props":700,"children":702},{"__ignoreMap":701},"",[703],{"type":65,"value":697},{"type":52,"tag":102,"props":705,"children":706},{},[707],{"type":65,"value":708},"Wait for the agent to return its structured proposal before proceeding.",{"type":52,"tag":57,"props":710,"children":711},{},[712,716],{"type":52,"tag":61,"props":713,"children":714},{},[715],{"type":65,"value":218},{"type":65,"value":717},": Structured data model proposal from the agent (publisher prefix, table definitions, ER diagram)",{"type":52,"tag":143,"props":719,"children":720},{},[],{"type":52,"tag":91,"props":722,"children":724},{"id":723},"phase-4-review-proposal",[725],{"type":65,"value":585},{"type":52,"tag":57,"props":727,"children":728},{},[729,733],{"type":52,"tag":61,"props":730,"children":731},{},[732],{"type":65,"value":159},{"type":65,"value":734},": Present the data model proposal to the user and get explicit approval before creating anything",{"type":52,"tag":57,"props":736,"children":737},{},[738,742],{"type":52,"tag":61,"props":739,"children":740},{},[741],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":386,"props":744,"children":746},{"id":745},"_41-present-proposal",[747],{"type":65,"value":748},"4.1 Present Proposal",{"type":52,"tag":57,"props":750,"children":751},{},[752],{"type":65,"value":753},"Present the data model proposal directly to the user as a formatted message, including:",{"type":52,"tag":98,"props":755,"children":756},{},[757,762,767,772,777],{"type":52,"tag":102,"props":758,"children":759},{},[760],{"type":65,"value":761},"Publisher prefix",{"type":52,"tag":102,"props":763,"children":764},{},[765],{"type":65,"value":766},"All proposed tables with columns (logical names + display names)",{"type":52,"tag":102,"props":768,"children":769},{},[770],{"type":65,"value":771},"Relationship descriptions",{"type":52,"tag":102,"props":773,"children":774},{},[775],{"type":65,"value":776},"Mermaid ER diagram",{"type":52,"tag":102,"props":778,"children":779},{},[780],{"type":65,"value":781},"Which tables are new vs. modified vs. reused",{"type":52,"tag":386,"props":783,"children":785},{"id":784},"_42-get-user-approval",[786],{"type":65,"value":787},"4.2 Get User Approval",{"type":52,"tag":53,"props":789,"children":790},{},[791,802],{"type":52,"tag":57,"props":792,"children":793},{},[794,795,800],{"type":65,"value":261},{"type":52,"tag":61,"props":796,"children":797},{},[798],{"type":65,"value":799},"Gate (plan · setup-datamodel:4.2.approval):",{"type":65,"value":801}," Final sign-off on the data model proposal before any Dataverse write. Cancel here stops the skill with zero side effects.",{"type":52,"tag":57,"props":803,"children":804},{},[805,809,811,815,817,821,823,829,831,837],{"type":52,"tag":61,"props":806,"children":807},{},[808],{"type":65,"value":276},{"type":65,"value":810}," Phase 4.1 rendered the proposal (tables, columns, relationships, ER diagram).\n",{"type":52,"tag":61,"props":812,"children":813},{},[814],{"type":65,"value":283},{"type":65,"value":816}," Tables and columns get created in Dataverse against the user's actual schema intent — column types and relationship cardinalities are awkward to undo.\n",{"type":52,"tag":61,"props":818,"children":819},{},[820],{"type":65,"value":290},{"type":65,"value":822}," Nothing — no ",{"type":52,"tag":70,"props":824,"children":826},{"className":825},[],[827],{"type":65,"value":828},"EntityDefinitions",{"type":65,"value":830}," POST yet, no ",{"type":52,"tag":70,"props":832,"children":834},{"className":833},[],[835],{"type":65,"value":836},".datamodel-manifest.json",{"type":65,"value":838}," write.",{"type":52,"tag":57,"props":840,"children":841},{},[842,844,849],{"type":65,"value":843},"Use ",{"type":52,"tag":70,"props":845,"children":847},{"className":846},[],[848],{"type":65,"value":306},{"type":65,"value":850}," to get approval:",{"type":52,"tag":321,"props":852,"children":853},{},[854,874],{"type":52,"tag":325,"props":855,"children":856},{},[857],{"type":52,"tag":329,"props":858,"children":859},{},[860,864,869],{"type":52,"tag":333,"props":861,"children":862},{},[863],{"type":65,"value":317},{"type":52,"tag":333,"props":865,"children":866},{},[867],{"type":65,"value":868},"Header",{"type":52,"tag":333,"props":870,"children":871},{},[872],{"type":65,"value":873},"Options",{"type":52,"tag":344,"props":875,"children":876},{},[877],{"type":52,"tag":329,"props":878,"children":879},{},[880,885,890],{"type":52,"tag":351,"props":881,"children":882},{},[883],{"type":65,"value":884},"Does this data model look correct?",{"type":52,"tag":351,"props":886,"children":887},{},[888],{"type":65,"value":889},"Data Model Proposal",{"type":52,"tag":351,"props":891,"children":892},{},[893],{"type":65,"value":894},"Approve and create tables (Recommended), Request changes, Cancel",{"type":52,"tag":98,"props":896,"children":897},{},[898,908,918],{"type":52,"tag":102,"props":899,"children":900},{},[901,906],{"type":52,"tag":61,"props":902,"children":903},{},[904],{"type":65,"value":905},"If \"Approve and create tables (Recommended)\"",{"type":65,"value":907},": Proceed to Phase 5",{"type":52,"tag":102,"props":909,"children":910},{},[911,916],{"type":52,"tag":61,"props":912,"children":913},{},[914],{"type":65,"value":915},"If \"Request changes\"",{"type":65,"value":917},": Ask what they want changed, modify the proposal, and re-present for approval",{"type":52,"tag":102,"props":919,"children":920},{},[921,926],{"type":52,"tag":61,"props":922,"children":923},{},[924],{"type":65,"value":925},"If \"Cancel\"",{"type":65,"value":927},": Stop the skill",{"type":52,"tag":57,"props":929,"children":930},{},[931],{"type":65,"value":932},"Only proceed to creation after explicit user approval.",{"type":52,"tag":57,"props":934,"children":935},{},[936,940],{"type":52,"tag":61,"props":937,"children":938},{},[939],{"type":65,"value":218},{"type":65,"value":941},": User-approved data model proposal",{"type":52,"tag":143,"props":943,"children":944},{},[],{"type":52,"tag":91,"props":946,"children":948},{"id":947},"phase-5-pre-creation-checks",[949],{"type":65,"value":950},"Phase 5: Pre-Creation Checks",{"type":52,"tag":57,"props":952,"children":953},{},[954,958],{"type":52,"tag":61,"props":955,"children":956},{},[957],{"type":65,"value":159},{"type":65,"value":959},": Refresh the token, verify what already exists in Dataverse, and build the creation plan to avoid duplicates",{"type":52,"tag":57,"props":961,"children":962},{},[963,967],{"type":52,"tag":61,"props":964,"children":965},{},[966],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":386,"props":969,"children":971},{"id":970},"_51-refresh-token",[972],{"type":65,"value":973},"5.1 Refresh Token",{"type":52,"tag":57,"props":975,"children":976},{},[977],{"type":65,"value":978},"Re-acquire the auth token (tokens expire after ~60 minutes):",{"type":52,"tag":693,"props":980,"children":983},{"className":981,"code":982,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fverify-dataverse-access.js\" \u003CenvUrl>\n",[984],{"type":52,"tag":70,"props":985,"children":986},{"__ignoreMap":701},[987],{"type":65,"value":982},{"type":52,"tag":386,"props":989,"children":991},{"id":990},"_52-query-existing-tables",[992],{"type":65,"value":993},"5.2 Query Existing Tables",{"type":52,"tag":57,"props":995,"children":996},{},[997,999,1004],{"type":65,"value":998},"For each table in the approved proposal marked as ",{"type":52,"tag":70,"props":1000,"children":1002},{"className":1001},[],[1003],{"type":65,"value":553},{"type":65,"value":1005},", check whether it already exists:",{"type":52,"tag":693,"props":1007,"children":1010},{"className":1008,"code":1009,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> GET \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions(LogicalName='\u003Ctable_logical_name>')\"\n",[1011],{"type":52,"tag":70,"props":1012,"children":1013},{"__ignoreMap":701},[1014],{"type":65,"value":1009},{"type":52,"tag":98,"props":1016,"children":1017},{},[1018,1028],{"type":52,"tag":102,"props":1019,"children":1020},{},[1021,1026],{"type":52,"tag":61,"props":1022,"children":1023},{},[1024],{"type":65,"value":1025},"If 404",{"type":65,"value":1027},": Table does not exist, proceed to create it",{"type":52,"tag":102,"props":1029,"children":1030},{},[1031,1036],{"type":52,"tag":61,"props":1032,"children":1033},{},[1034],{"type":65,"value":1035},"If 200",{"type":65,"value":1037},": Table already exists — skip creation, warn the user",{"type":52,"tag":57,"props":1039,"children":1040},{},[1041,1043,1048],{"type":65,"value":1042},"For tables marked as ",{"type":52,"tag":70,"props":1044,"children":1046},{"className":1045},[],[1047],{"type":65,"value":560},{"type":65,"value":1049},", verify the table exists (it should) and check which columns are missing.",{"type":52,"tag":386,"props":1051,"children":1053},{"id":1052},"_53-build-creation-plan",[1054],{"type":65,"value":1055},"5.3 Build Creation Plan",{"type":52,"tag":57,"props":1057,"children":1058},{},[1059],{"type":65,"value":1060},"From the pre-creation checks, build a list of:",{"type":52,"tag":98,"props":1062,"children":1063},{},[1064,1069,1074,1079],{"type":52,"tag":102,"props":1065,"children":1066},{},[1067],{"type":65,"value":1068},"Tables to create (new tables that don't exist yet)",{"type":52,"tag":102,"props":1070,"children":1071},{},[1072],{"type":65,"value":1073},"Columns to add (new columns on existing\u002Fmodified tables)",{"type":52,"tag":102,"props":1075,"children":1076},{},[1077],{"type":65,"value":1078},"Relationships to create",{"type":52,"tag":102,"props":1080,"children":1081},{},[1082],{"type":65,"value":1083},"Tables\u002Fcolumns to skip (already exist)",{"type":52,"tag":57,"props":1085,"children":1086},{},[1087],{"type":65,"value":1088},"Inform the user of any skipped items.",{"type":52,"tag":57,"props":1090,"children":1091},{},[1092,1096],{"type":52,"tag":61,"props":1093,"children":1094},{},[1095],{"type":65,"value":218},{"type":65,"value":1097},": Finalized creation plan with tables, columns, and relationships to create or skip",{"type":52,"tag":143,"props":1099,"children":1100},{},[],{"type":52,"tag":91,"props":1102,"children":1104},{"id":1103},"phase-6-create-tables-columns",[1105],{"type":65,"value":1106},"Phase 6: Create Tables & Columns",{"type":52,"tag":57,"props":1108,"children":1109},{},[1110,1114],{"type":52,"tag":61,"props":1111,"children":1112},{},[1113],{"type":65,"value":159},{"type":65,"value":1115},": Create each approved table and its columns using the Dataverse OData Web API",{"type":52,"tag":57,"props":1117,"children":1118},{},[1119,1123],{"type":52,"tag":61,"props":1120,"children":1121},{},[1122],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":57,"props":1125,"children":1126},{},[1127,1129,1135],{"type":65,"value":1128},"Refer to ",{"type":52,"tag":70,"props":1130,"children":1132},{"className":1131},[],[1133],{"type":65,"value":1134},"references\u002Fodata-api-patterns.md",{"type":65,"value":1136}," for full JSON body templates.",{"type":52,"tag":386,"props":1138,"children":1140},{"id":1139},"_61-create-tables",[1141],{"type":65,"value":1142},"6.1 Create Tables",{"type":52,"tag":57,"props":1144,"children":1145},{},[1146],{"type":65,"value":1147},"For each new table, POST to the EntityDefinitions endpoint:",{"type":52,"tag":693,"props":1149,"children":1152},{"className":1150,"code":1151,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions\" --body '\u003CJSON body from references\u002Fodata-api-patterns.md>'\n",[1153],{"type":52,"tag":70,"props":1154,"children":1155},{"__ignoreMap":701},[1156],{"type":65,"value":1151},{"type":52,"tag":57,"props":1158,"children":1159},{},[1160,1162,1167],{"type":65,"value":1161},"Use the deep-insert pattern to create the table and its columns in a single POST request. See ",{"type":52,"tag":70,"props":1163,"children":1165},{"className":1164},[],[1166],{"type":65,"value":1134},{"type":65,"value":1168}," for the complete JSON structure.",{"type":52,"tag":386,"props":1170,"children":1172},{"id":1171},"_62-add-columns-to-existing-tables",[1173],{"type":65,"value":1174},"6.2 Add Columns to Existing Tables",{"type":52,"tag":57,"props":1176,"children":1177},{},[1178,1179,1184],{"type":65,"value":1042},{"type":52,"tag":70,"props":1180,"children":1182},{"className":1181},[],[1183],{"type":65,"value":560},{"type":65,"value":1185},", add new columns one at a time:",{"type":52,"tag":693,"props":1187,"children":1190},{"className":1188,"code":1189,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions(LogicalName='\u003Ctable>')\u002FAttributes\" --body '\u003Ccolumn JSON from references\u002Fodata-api-patterns.md>'\n",[1191],{"type":52,"tag":70,"props":1192,"children":1193},{"__ignoreMap":701},[1194],{"type":65,"value":1189},{"type":52,"tag":386,"props":1196,"children":1198},{"id":1197},"_63-track-progress",[1199],{"type":65,"value":1200},"6.3 Track Progress",{"type":52,"tag":57,"props":1202,"children":1203},{},[1204],{"type":65,"value":1205},"Track each creation attempt and its result (success\u002Ffailure\u002Fskipped). Do NOT attempt automated rollback on failure — report failures and continue with remaining items.",{"type":52,"tag":386,"props":1207,"children":1209},{"id":1208},"_64-refresh-token-if-needed",[1210],{"type":65,"value":1211},"6.4 Refresh Token if Needed",{"type":52,"tag":57,"props":1213,"children":1214},{},[1215,1217,1223],{"type":65,"value":1216},"If creating many tables, the ",{"type":52,"tag":70,"props":1218,"children":1220},{"className":1219},[],[1221],{"type":65,"value":1222},"dataverse-request.js",{"type":65,"value":1224}," script handles 401 token refresh automatically. No manual refresh is needed between batches.",{"type":52,"tag":57,"props":1226,"children":1227},{},[1228,1232],{"type":52,"tag":61,"props":1229,"children":1230},{},[1231],{"type":65,"value":218},{"type":65,"value":1233},": All approved tables and columns created (or failures reported)",{"type":52,"tag":143,"props":1235,"children":1236},{},[],{"type":52,"tag":91,"props":1238,"children":1240},{"id":1239},"phase-7-create-relationships",[1241],{"type":65,"value":1242},"Phase 7: Create Relationships",{"type":52,"tag":57,"props":1244,"children":1245},{},[1246,1250],{"type":52,"tag":61,"props":1247,"children":1248},{},[1249],{"type":65,"value":159},{"type":65,"value":1251},": Create all relationships between the newly created and existing tables",{"type":52,"tag":57,"props":1253,"children":1254},{},[1255,1259],{"type":52,"tag":61,"props":1256,"children":1257},{},[1258],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":386,"props":1261,"children":1263},{"id":1262},"_71-one-to-many-relationships",[1264],{"type":65,"value":1265},"7.1 One-to-Many Relationships",{"type":52,"tag":57,"props":1267,"children":1268},{},[1269],{"type":65,"value":1270},"Create lookup columns that establish 1:N relationships:",{"type":52,"tag":693,"props":1272,"children":1275},{"className":1273,"code":1274,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FRelationshipDefinitions\" --body '\u003Crelationship JSON from references\u002Fodata-api-patterns.md>'\n",[1276],{"type":52,"tag":70,"props":1277,"children":1278},{"__ignoreMap":701},[1279],{"type":65,"value":1274},{"type":52,"tag":386,"props":1281,"children":1283},{"id":1282},"_72-many-to-many-relationships",[1284],{"type":65,"value":1285},"7.2 Many-to-Many Relationships",{"type":52,"tag":57,"props":1287,"children":1288},{},[1289],{"type":65,"value":1290},"Create M:N relationships (intersect tables are created automatically):",{"type":52,"tag":693,"props":1292,"children":1295},{"className":1293,"code":1294,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FRelationshipDefinitions\" --body '\u003CM:N relationship JSON from references\u002Fodata-api-patterns.md>'\n",[1296],{"type":52,"tag":70,"props":1297,"children":1298},{"__ignoreMap":701},[1299],{"type":65,"value":1294},{"type":52,"tag":386,"props":1301,"children":1303},{"id":1302},"_73-track-relationship-creation",[1304],{"type":65,"value":1305},"7.3 Track Relationship Creation",{"type":52,"tag":57,"props":1307,"children":1308},{},[1309],{"type":65,"value":1310},"Track each relationship creation attempt. Report failures without rolling back.",{"type":52,"tag":57,"props":1312,"children":1313},{},[1314,1318],{"type":52,"tag":61,"props":1315,"children":1316},{},[1317],{"type":65,"value":218},{"type":65,"value":1319},": All approved relationships created (or failures reported)",{"type":52,"tag":143,"props":1321,"children":1322},{},[],{"type":52,"tag":91,"props":1324,"children":1326},{"id":1325},"phase-8-publish-verify",[1327],{"type":65,"value":1328},"Phase 8: Publish & Verify",{"type":52,"tag":57,"props":1330,"children":1331},{},[1332,1336],{"type":52,"tag":61,"props":1333,"children":1334},{},[1335],{"type":65,"value":159},{"type":65,"value":1337},": Publish all customizations, verify tables exist, write the manifest, and present a summary",{"type":52,"tag":57,"props":1339,"children":1340},{},[1341,1345],{"type":52,"tag":61,"props":1342,"children":1343},{},[1344],{"type":65,"value":169},{"type":65,"value":171},{"type":52,"tag":386,"props":1347,"children":1349},{"id":1348},"_81-publish-customizations",[1350],{"type":65,"value":1351},"8.1 Publish Customizations",{"type":52,"tag":57,"props":1353,"children":1354},{},[1355],{"type":65,"value":1356},"Publish all customizations so the new tables and columns become available:",{"type":52,"tag":693,"props":1358,"children":1361},{"className":1359,"code":1360,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> POST \"api\u002Fdata\u002Fv9.2\u002FPublishXml\" --body '{\"ParameterXml\":\"\u003Cimportexportxml>\u003Centities>\u003Centity>cr123_project\u003C\u002Fentity>\u003Centity>cr123_task\u003C\u002Fentity>\u003C\u002Fentities>\u003C\u002Fimportexportxml>\"}'\n",[1362],{"type":52,"tag":70,"props":1363,"children":1364},{"__ignoreMap":701},[1365],{"type":65,"value":1360},{"type":52,"tag":57,"props":1367,"children":1368},{},[1369,1371,1376],{"type":65,"value":1370},"See ",{"type":52,"tag":70,"props":1372,"children":1374},{"className":1373},[],[1375],{"type":65,"value":1134},{"type":65,"value":1377}," for the full PublishXml pattern.",{"type":52,"tag":386,"props":1379,"children":1381},{"id":1380},"_82-verify-tables-exist",[1382],{"type":65,"value":1383},"8.2 Verify Tables Exist",{"type":52,"tag":57,"props":1385,"children":1386},{},[1387],{"type":65,"value":1388},"For each created table, run a verification query:",{"type":52,"tag":693,"props":1390,"children":1393},{"className":1391,"code":1392,"language":65},[696],"node \"${PLUGIN_ROOT}\u002Fscripts\u002Fdataverse-request.js\" \u003CenvUrl> GET \"api\u002Fdata\u002Fv9.2\u002FEntityDefinitions(LogicalName='\u003Ctable>')?$select=LogicalName,DisplayName\"\n",[1394],{"type":52,"tag":70,"props":1395,"children":1396},{"__ignoreMap":701},[1397],{"type":65,"value":1392},{"type":52,"tag":386,"props":1399,"children":1401},{"id":1400},"_83-write-manifest",[1402],{"type":65,"value":1403},"8.3 Write Manifest",{"type":52,"tag":57,"props":1405,"children":1406},{},[1407,1409,1414],{"type":65,"value":1408},"After successful verification, write ",{"type":52,"tag":70,"props":1410,"children":1412},{"className":1411},[],[1413],{"type":65,"value":836},{"type":65,"value":1415}," to the project root. This file records which tables and columns were verified to exist, and is used by the validation hook.",{"type":52,"tag":693,"props":1417,"children":1421},{"className":1418,"code":1419,"language":1420,"meta":701,"style":701},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","{\n  \"environmentUrl\": \"https:\u002F\u002Forg12345.crm.dynamics.com\",\n  \"tables\": [\n    {\n      \"logicalName\": \"cr123_project\",\n      \"displayName\": \"Project\",\n      \"status\": \"new\",\n      \"columns\": [\n        { \"logicalName\": \"cr123_name\", \"type\": \"String\" },\n        { \"logicalName\": \"cr123_description\", \"type\": \"Memo\" }\n      ]\n    }\n  ]\n}\n","json",[1422],{"type":52,"tag":70,"props":1423,"children":1424},{"__ignoreMap":701},[1425,1437,1481,1507,1516,1555,1592,1628,1652,1730,1805,1814,1823,1832],{"type":52,"tag":1426,"props":1427,"children":1430},"span",{"class":1428,"line":1429},"line",1,[1431],{"type":52,"tag":1426,"props":1432,"children":1434},{"style":1433},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[1435],{"type":65,"value":1436},"{\n",{"type":52,"tag":1426,"props":1438,"children":1440},{"class":1428,"line":1439},2,[1441,1446,1452,1457,1461,1466,1472,1476],{"type":52,"tag":1426,"props":1442,"children":1443},{"style":1433},[1444],{"type":65,"value":1445},"  \"",{"type":52,"tag":1426,"props":1447,"children":1449},{"style":1448},"--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA",[1450],{"type":65,"value":1451},"environmentUrl",{"type":52,"tag":1426,"props":1453,"children":1454},{"style":1433},[1455],{"type":65,"value":1456},"\"",{"type":52,"tag":1426,"props":1458,"children":1459},{"style":1433},[1460],{"type":65,"value":171},{"type":52,"tag":1426,"props":1462,"children":1463},{"style":1433},[1464],{"type":65,"value":1465}," \"",{"type":52,"tag":1426,"props":1467,"children":1469},{"style":1468},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[1470],{"type":65,"value":1471},"https:\u002F\u002Forg12345.crm.dynamics.com",{"type":52,"tag":1426,"props":1473,"children":1474},{"style":1433},[1475],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1477,"children":1478},{"style":1433},[1479],{"type":65,"value":1480},",\n",{"type":52,"tag":1426,"props":1482,"children":1484},{"class":1428,"line":1483},3,[1485,1489,1494,1498,1502],{"type":52,"tag":1426,"props":1486,"children":1487},{"style":1433},[1488],{"type":65,"value":1445},{"type":52,"tag":1426,"props":1490,"children":1491},{"style":1448},[1492],{"type":65,"value":1493},"tables",{"type":52,"tag":1426,"props":1495,"children":1496},{"style":1433},[1497],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1499,"children":1500},{"style":1433},[1501],{"type":65,"value":171},{"type":52,"tag":1426,"props":1503,"children":1504},{"style":1433},[1505],{"type":65,"value":1506}," [\n",{"type":52,"tag":1426,"props":1508,"children":1510},{"class":1428,"line":1509},4,[1511],{"type":52,"tag":1426,"props":1512,"children":1513},{"style":1433},[1514],{"type":65,"value":1515},"    {\n",{"type":52,"tag":1426,"props":1517,"children":1519},{"class":1428,"line":1518},5,[1520,1525,1530,1534,1538,1542,1547,1551],{"type":52,"tag":1426,"props":1521,"children":1522},{"style":1433},[1523],{"type":65,"value":1524},"      \"",{"type":52,"tag":1426,"props":1526,"children":1528},{"style":1527},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[1529],{"type":65,"value":477},{"type":52,"tag":1426,"props":1531,"children":1532},{"style":1433},[1533],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1535,"children":1536},{"style":1433},[1537],{"type":65,"value":171},{"type":52,"tag":1426,"props":1539,"children":1540},{"style":1433},[1541],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1543,"children":1544},{"style":1468},[1545],{"type":65,"value":1546},"cr123_project",{"type":52,"tag":1426,"props":1548,"children":1549},{"style":1433},[1550],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1552,"children":1553},{"style":1433},[1554],{"type":65,"value":1480},{"type":52,"tag":1426,"props":1556,"children":1558},{"class":1428,"line":1557},6,[1559,1563,1567,1571,1575,1579,1584,1588],{"type":52,"tag":1426,"props":1560,"children":1561},{"style":1433},[1562],{"type":65,"value":1524},{"type":52,"tag":1426,"props":1564,"children":1565},{"style":1527},[1566],{"type":65,"value":485},{"type":52,"tag":1426,"props":1568,"children":1569},{"style":1433},[1570],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1572,"children":1573},{"style":1433},[1574],{"type":65,"value":171},{"type":52,"tag":1426,"props":1576,"children":1577},{"style":1433},[1578],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1580,"children":1581},{"style":1468},[1582],{"type":65,"value":1583},"Project",{"type":52,"tag":1426,"props":1585,"children":1586},{"style":1433},[1587],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1589,"children":1590},{"style":1433},[1591],{"type":65,"value":1480},{"type":52,"tag":1426,"props":1593,"children":1595},{"class":1428,"line":1594},7,[1596,1600,1604,1608,1612,1616,1620,1624],{"type":52,"tag":1426,"props":1597,"children":1598},{"style":1433},[1599],{"type":65,"value":1524},{"type":52,"tag":1426,"props":1601,"children":1602},{"style":1527},[1603],{"type":65,"value":492},{"type":52,"tag":1426,"props":1605,"children":1606},{"style":1433},[1607],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1609,"children":1610},{"style":1433},[1611],{"type":65,"value":171},{"type":52,"tag":1426,"props":1613,"children":1614},{"style":1433},[1615],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1617,"children":1618},{"style":1468},[1619],{"type":65,"value":553},{"type":52,"tag":1426,"props":1621,"children":1622},{"style":1433},[1623],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1625,"children":1626},{"style":1433},[1627],{"type":65,"value":1480},{"type":52,"tag":1426,"props":1629,"children":1631},{"class":1428,"line":1630},8,[1632,1636,1640,1644,1648],{"type":52,"tag":1426,"props":1633,"children":1634},{"style":1433},[1635],{"type":65,"value":1524},{"type":52,"tag":1426,"props":1637,"children":1638},{"style":1527},[1639],{"type":65,"value":500},{"type":52,"tag":1426,"props":1641,"children":1642},{"style":1433},[1643],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1645,"children":1646},{"style":1433},[1647],{"type":65,"value":171},{"type":52,"tag":1426,"props":1649,"children":1650},{"style":1433},[1651],{"type":65,"value":1506},{"type":52,"tag":1426,"props":1653,"children":1655},{"class":1428,"line":1654},9,[1656,1661,1665,1670,1674,1678,1682,1687,1691,1696,1700,1704,1708,1712,1716,1721,1725],{"type":52,"tag":1426,"props":1657,"children":1658},{"style":1433},[1659],{"type":65,"value":1660},"        {",{"type":52,"tag":1426,"props":1662,"children":1663},{"style":1433},[1664],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1666,"children":1668},{"style":1667},"--shiki-light:#F76D47;--shiki-default:#F78C6C;--shiki-dark:#F78C6C",[1669],{"type":65,"value":477},{"type":52,"tag":1426,"props":1671,"children":1672},{"style":1433},[1673],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1675,"children":1676},{"style":1433},[1677],{"type":65,"value":171},{"type":52,"tag":1426,"props":1679,"children":1680},{"style":1433},[1681],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1683,"children":1684},{"style":1468},[1685],{"type":65,"value":1686},"cr123_name",{"type":52,"tag":1426,"props":1688,"children":1689},{"style":1433},[1690],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1692,"children":1693},{"style":1433},[1694],{"type":65,"value":1695},",",{"type":52,"tag":1426,"props":1697,"children":1698},{"style":1433},[1699],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1701,"children":1702},{"style":1667},[1703],{"type":65,"value":530},{"type":52,"tag":1426,"props":1705,"children":1706},{"style":1433},[1707],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1709,"children":1710},{"style":1433},[1711],{"type":65,"value":171},{"type":52,"tag":1426,"props":1713,"children":1714},{"style":1433},[1715],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1717,"children":1718},{"style":1468},[1719],{"type":65,"value":1720},"String",{"type":52,"tag":1426,"props":1722,"children":1723},{"style":1433},[1724],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1726,"children":1727},{"style":1433},[1728],{"type":65,"value":1729}," },\n",{"type":52,"tag":1426,"props":1731,"children":1733},{"class":1428,"line":1732},10,[1734,1738,1742,1746,1750,1754,1758,1763,1767,1771,1775,1779,1783,1787,1791,1796,1800],{"type":52,"tag":1426,"props":1735,"children":1736},{"style":1433},[1737],{"type":65,"value":1660},{"type":52,"tag":1426,"props":1739,"children":1740},{"style":1433},[1741],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1743,"children":1744},{"style":1667},[1745],{"type":65,"value":477},{"type":52,"tag":1426,"props":1747,"children":1748},{"style":1433},[1749],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1751,"children":1752},{"style":1433},[1753],{"type":65,"value":171},{"type":52,"tag":1426,"props":1755,"children":1756},{"style":1433},[1757],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1759,"children":1760},{"style":1468},[1761],{"type":65,"value":1762},"cr123_description",{"type":52,"tag":1426,"props":1764,"children":1765},{"style":1433},[1766],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1768,"children":1769},{"style":1433},[1770],{"type":65,"value":1695},{"type":52,"tag":1426,"props":1772,"children":1773},{"style":1433},[1774],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1776,"children":1777},{"style":1667},[1778],{"type":65,"value":530},{"type":52,"tag":1426,"props":1780,"children":1781},{"style":1433},[1782],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1784,"children":1785},{"style":1433},[1786],{"type":65,"value":171},{"type":52,"tag":1426,"props":1788,"children":1789},{"style":1433},[1790],{"type":65,"value":1465},{"type":52,"tag":1426,"props":1792,"children":1793},{"style":1468},[1794],{"type":65,"value":1795},"Memo",{"type":52,"tag":1426,"props":1797,"children":1798},{"style":1433},[1799],{"type":65,"value":1456},{"type":52,"tag":1426,"props":1801,"children":1802},{"style":1433},[1803],{"type":65,"value":1804}," }\n",{"type":52,"tag":1426,"props":1806,"children":1808},{"class":1428,"line":1807},11,[1809],{"type":52,"tag":1426,"props":1810,"children":1811},{"style":1433},[1812],{"type":65,"value":1813},"      ]\n",{"type":52,"tag":1426,"props":1815,"children":1817},{"class":1428,"line":1816},12,[1818],{"type":52,"tag":1426,"props":1819,"children":1820},{"style":1433},[1821],{"type":65,"value":1822},"    }\n",{"type":52,"tag":1426,"props":1824,"children":1826},{"class":1428,"line":1825},13,[1827],{"type":52,"tag":1426,"props":1828,"children":1829},{"style":1433},[1830],{"type":65,"value":1831},"  ]\n",{"type":52,"tag":1426,"props":1833,"children":1835},{"class":1428,"line":1834},14,[1836],{"type":52,"tag":1426,"props":1837,"children":1838},{"style":1433},[1839],{"type":65,"value":1840},"}\n",{"type":52,"tag":57,"props":1842,"children":1843},{},[1844,1845,1851,1853,1859,1861,1867],{"type":65,"value":647},{"type":52,"tag":70,"props":1846,"children":1848},{"className":1847},[],[1849],{"type":65,"value":1850},"Write",{"type":65,"value":1852}," tool to create this file at ",{"type":52,"tag":70,"props":1854,"children":1856},{"className":1855},[],[1857],{"type":65,"value":1858},"\u003CPROJECT_ROOT>\u002F.datamodel-manifest.json",{"type":65,"value":1860},". Only include tables and columns that were confirmed to exist in Step 8.2. See ",{"type":52,"tag":70,"props":1862,"children":1864},{"className":1863},[],[1865],{"type":65,"value":1866},"${PLUGIN_ROOT}\u002Freferences\u002Fdatamodel-manifest-schema.md",{"type":65,"value":1868}," for the full schema specification.",{"type":52,"tag":386,"props":1870,"children":1872},{"id":1871},"_84-record-skill-usage",[1873],{"type":65,"value":1874},"8.4 Record Skill Usage",{"type":52,"tag":53,"props":1876,"children":1877},{},[1878],{"type":52,"tag":57,"props":1879,"children":1880},{},[1881,1883],{"type":65,"value":1882},"Reference: ",{"type":52,"tag":70,"props":1884,"children":1886},{"className":1885},[],[1887],{"type":65,"value":1888},"${PLUGIN_ROOT}\u002Freferences\u002Fskill-tracking-reference.md",{"type":52,"tag":57,"props":1890,"children":1891},{},[1892,1894,1900],{"type":65,"value":1893},"Follow the skill tracking instructions in the reference to record this skill's usage. Use ",{"type":52,"tag":70,"props":1895,"children":1897},{"className":1896},[],[1898],{"type":65,"value":1899},"--skillName \"SetupDatamodel\"",{"type":65,"value":570},{"type":52,"tag":386,"props":1902,"children":1904},{"id":1903},"_85-present-summary",[1905],{"type":65,"value":1906},"8.5 Present Summary",{"type":52,"tag":57,"props":1908,"children":1909},{},[1910],{"type":65,"value":1911},"Present a summary to the user:",{"type":52,"tag":321,"props":1913,"children":1914},{},[1915,1941],{"type":52,"tag":325,"props":1916,"children":1917},{},[1918],{"type":52,"tag":329,"props":1919,"children":1920},{},[1921,1926,1931,1936],{"type":52,"tag":333,"props":1922,"children":1923},{},[1924],{"type":65,"value":1925},"Table",{"type":52,"tag":333,"props":1927,"children":1928},{},[1929],{"type":65,"value":1930},"Status",{"type":52,"tag":333,"props":1932,"children":1933},{},[1934],{"type":65,"value":1935},"Columns",{"type":52,"tag":333,"props":1937,"children":1938},{},[1939],{"type":65,"value":1940},"Relationships",{"type":52,"tag":344,"props":1942,"children":1943},{},[1944,1972,2001],{"type":52,"tag":329,"props":1945,"children":1946},{},[1947,1957,1962,1967],{"type":52,"tag":351,"props":1948,"children":1949},{},[1950,1955],{"type":52,"tag":70,"props":1951,"children":1953},{"className":1952},[],[1954],{"type":65,"value":1546},{"type":65,"value":1956}," (Project)",{"type":52,"tag":351,"props":1958,"children":1959},{},[1960],{"type":65,"value":1961},"Created",{"type":52,"tag":351,"props":1963,"children":1964},{},[1965],{"type":65,"value":1966},"5 columns",{"type":52,"tag":351,"props":1968,"children":1969},{},[1970],{"type":65,"value":1971},"2 relationships",{"type":52,"tag":329,"props":1973,"children":1974},{},[1975,1986,1991,1996],{"type":52,"tag":351,"props":1976,"children":1977},{},[1978,1984],{"type":52,"tag":70,"props":1979,"children":1981},{"className":1980},[],[1982],{"type":65,"value":1983},"contact",{"type":65,"value":1985}," (Contact)",{"type":52,"tag":351,"props":1987,"children":1988},{},[1989],{"type":65,"value":1990},"Reused",{"type":52,"tag":351,"props":1992,"children":1993},{},[1994],{"type":65,"value":1995},"1 column added",{"type":52,"tag":351,"props":1997,"children":1998},{},[1999],{"type":65,"value":2000},"—",{"type":52,"tag":329,"props":2002,"children":2003},{},[2004,2015,2019,2024],{"type":52,"tag":351,"props":2005,"children":2006},{},[2007,2013],{"type":52,"tag":70,"props":2008,"children":2010},{"className":2009},[],[2011],{"type":65,"value":2012},"cr123_task",{"type":65,"value":2014}," (Task)",{"type":52,"tag":351,"props":2016,"children":2017},{},[2018],{"type":65,"value":1961},{"type":52,"tag":351,"props":2020,"children":2021},{},[2022],{"type":65,"value":2023},"4 columns",{"type":52,"tag":351,"props":2025,"children":2026},{},[2027],{"type":65,"value":2028},"1 relationship",{"type":52,"tag":57,"props":2030,"children":2031},{},[2032],{"type":65,"value":2033},"Include:",{"type":52,"tag":98,"props":2035,"children":2036},{},[2037,2042,2047,2052,2057],{"type":52,"tag":102,"props":2038,"children":2039},{},[2040],{"type":65,"value":2041},"Total tables created\u002Fmodified\u002Freused\u002Ffailed",{"type":52,"tag":102,"props":2043,"children":2044},{},[2045],{"type":65,"value":2046},"Total columns created\u002Fskipped\u002Ffailed",{"type":52,"tag":102,"props":2048,"children":2049},{},[2050],{"type":65,"value":2051},"Total relationships created\u002Ffailed",{"type":52,"tag":102,"props":2053,"children":2054},{},[2055],{"type":65,"value":2056},"Any errors encountered with details",{"type":52,"tag":102,"props":2058,"children":2059},{},[2060,2062,2067],{"type":65,"value":2061},"Location of the manifest file (",{"type":52,"tag":70,"props":2063,"children":2065},{"className":2064},[],[2066],{"type":65,"value":836},{"type":65,"value":466},{"type":52,"tag":386,"props":2069,"children":2071},{"id":2070},"_86-suggest-next-steps",[2072],{"type":65,"value":2073},"8.6 Suggest Next Steps",{"type":52,"tag":57,"props":2075,"children":2076},{},[2077],{"type":65,"value":2078},"After the summary, suggest:",{"type":52,"tag":98,"props":2080,"children":2081},{},[2082,2087,2098,2109,2120],{"type":52,"tag":102,"props":2083,"children":2084},{},[2085],{"type":65,"value":2086},"Review created tables in the Power Pages maker portal",{"type":52,"tag":102,"props":2088,"children":2089},{},[2090,2092],{"type":65,"value":2091},"Populate tables with sample data for testing: ",{"type":52,"tag":70,"props":2093,"children":2095},{"className":2094},[],[2096],{"type":65,"value":2097},"\u002Fadd-sample-data",{"type":52,"tag":102,"props":2099,"children":2100},{},[2101,2103],{"type":65,"value":2102},"Integrate tables with your site's frontend via Web API: ",{"type":52,"tag":70,"props":2104,"children":2106},{"className":2105},[],[2107],{"type":65,"value":2108},"\u002Fintegrate-webapi",{"type":52,"tag":102,"props":2110,"children":2111},{},[2112,2114],{"type":65,"value":2113},"If the site is not yet built: ",{"type":52,"tag":70,"props":2115,"children":2117},{"className":2116},[],[2118],{"type":65,"value":2119},"\u002Fcreate-site",{"type":52,"tag":102,"props":2121,"children":2122},{},[2123,2125],{"type":65,"value":2124},"If the site is ready to deploy: ",{"type":52,"tag":70,"props":2126,"children":2128},{"className":2127},[],[2129],{"type":65,"value":2130},"\u002Fdeploy-site",{"type":52,"tag":57,"props":2132,"children":2133},{},[2134,2138],{"type":52,"tag":61,"props":2135,"children":2136},{},[2137],{"type":65,"value":218},{"type":65,"value":2139},": Published customizations, verified tables, manifest written, summary presented",{"type":52,"tag":143,"props":2141,"children":2142},{},[],{"type":52,"tag":91,"props":2144,"children":2146},{"id":2145},"important-notes",[2147],{"type":65,"value":2148},"Important Notes",{"type":52,"tag":386,"props":2150,"children":2152},{"id":2151},"throughout-all-phases",[2153],{"type":65,"value":2154},"Throughout All Phases",{"type":52,"tag":98,"props":2156,"children":2157},{},[2158,2167,2177,2194],{"type":52,"tag":102,"props":2159,"children":2160},{},[2161,2165],{"type":52,"tag":61,"props":2162,"children":2163},{},[2164],{"type":65,"value":119},{"type":65,"value":2166}," to track progress at every phase",{"type":52,"tag":102,"props":2168,"children":2169},{},[2170,2175],{"type":52,"tag":61,"props":2171,"children":2172},{},[2173],{"type":65,"value":2174},"Ask for user confirmation",{"type":65,"value":2176}," at key decision points (see list below)",{"type":52,"tag":102,"props":2178,"children":2179},{},[2180,2185,2187,2192],{"type":52,"tag":61,"props":2181,"children":2182},{},[2183],{"type":65,"value":2184},"Token refresh is automatic",{"type":65,"value":2186}," — the ",{"type":52,"tag":70,"props":2188,"children":2190},{"className":2189},[],[2191],{"type":65,"value":1222},{"type":65,"value":2193}," script handles 401 token refresh and 429\u002F5xx retry internally",{"type":52,"tag":102,"props":2195,"children":2196},{},[2197,2202],{"type":52,"tag":61,"props":2198,"children":2199},{},[2200],{"type":65,"value":2201},"Report failures without rollback",{"type":65,"value":2203}," — track each creation attempt and continue with remaining items on failure",{"type":52,"tag":386,"props":2205,"children":2207},{"id":2206},"key-decision-points-wait-for-user",[2208],{"type":65,"value":2209},"Key Decision Points (Wait for User)",{"type":52,"tag":173,"props":2211,"children":2212},{},[2213,2218,2223,2228],{"type":52,"tag":102,"props":2214,"children":2215},{},[2216],{"type":65,"value":2217},"After Phase 2: Data model source chosen (upload vs. AI)",{"type":52,"tag":102,"props":2219,"children":2220},{},[2221],{"type":65,"value":2222},"After Phase 4: Approve data model proposal before any creation",{"type":52,"tag":102,"props":2224,"children":2225},{},[2226],{"type":65,"value":2227},"After Phase 5: Acknowledge any skipped items before proceeding",{"type":52,"tag":102,"props":2229,"children":2230},{},[2231],{"type":65,"value":2232},"After Phase 8: Review summary and choose next steps",{"type":52,"tag":386,"props":2234,"children":2236},{"id":2235},"progress-tracking",[2237],{"type":65,"value":187},{"type":52,"tag":57,"props":2239,"children":2240},{},[2241,2243,2249],{"type":65,"value":2242},"Before starting Phase 1, create a task list with all phases using ",{"type":52,"tag":70,"props":2244,"children":2246},{"className":2245},[],[2247],{"type":65,"value":2248},"TaskCreate",{"type":65,"value":171},{"type":52,"tag":321,"props":2251,"children":2252},{},[2253,2273],{"type":52,"tag":325,"props":2254,"children":2255},{},[2256],{"type":52,"tag":329,"props":2257,"children":2258},{},[2259,2264,2269],{"type":52,"tag":333,"props":2260,"children":2261},{},[2262],{"type":65,"value":2263},"Task subject",{"type":52,"tag":333,"props":2265,"children":2266},{},[2267],{"type":65,"value":2268},"activeForm",{"type":52,"tag":333,"props":2270,"children":2271},{},[2272],{"type":65,"value":342},{"type":52,"tag":344,"props":2274,"children":2275},{},[2276,2294,2312,2330,2348,2366,2384,2402],{"type":52,"tag":329,"props":2277,"children":2278},{},[2279,2284,2289],{"type":52,"tag":351,"props":2280,"children":2281},{},[2282],{"type":65,"value":2283},"Verify prerequisites",{"type":52,"tag":351,"props":2285,"children":2286},{},[2287],{"type":65,"value":2288},"Verifying prerequisites",{"type":52,"tag":351,"props":2290,"children":2291},{},[2292],{"type":65,"value":2293},"Confirm PAC CLI auth, acquire Azure CLI token, verify API access",{"type":52,"tag":329,"props":2295,"children":2296},{},[2297,2302,2307],{"type":52,"tag":351,"props":2298,"children":2299},{},[2300],{"type":65,"value":2301},"Choose data model source",{"type":52,"tag":351,"props":2303,"children":2304},{},[2305],{"type":65,"value":2306},"Choosing data model source",{"type":52,"tag":351,"props":2308,"children":2309},{},[2310],{"type":65,"value":2311},"Ask user to upload ER diagram or let AI analyze the site",{"type":52,"tag":329,"props":2313,"children":2314},{},[2315,2320,2325],{"type":52,"tag":351,"props":2316,"children":2317},{},[2318],{"type":65,"value":2319},"Invoke data model architect",{"type":52,"tag":351,"props":2321,"children":2322},{},[2323],{"type":65,"value":2324},"Invoking data model architect",{"type":52,"tag":351,"props":2326,"children":2327},{},[2328],{"type":65,"value":2329},"Spawn agent to analyze site and propose data model",{"type":52,"tag":329,"props":2331,"children":2332},{},[2333,2338,2343],{"type":52,"tag":351,"props":2334,"children":2335},{},[2336],{"type":65,"value":2337},"Review and approve proposal",{"type":52,"tag":351,"props":2339,"children":2340},{},[2341],{"type":65,"value":2342},"Reviewing proposal",{"type":52,"tag":351,"props":2344,"children":2345},{},[2346],{"type":65,"value":2347},"Present data model proposal to user, get explicit approval",{"type":52,"tag":329,"props":2349,"children":2350},{},[2351,2356,2361],{"type":52,"tag":351,"props":2352,"children":2353},{},[2354],{"type":65,"value":2355},"Pre-creation checks",{"type":52,"tag":351,"props":2357,"children":2358},{},[2359],{"type":65,"value":2360},"Running pre-creation checks",{"type":52,"tag":351,"props":2362,"children":2363},{},[2364],{"type":65,"value":2365},"Refresh token, query existing tables, build creation plan",{"type":52,"tag":329,"props":2367,"children":2368},{},[2369,2374,2379],{"type":52,"tag":351,"props":2370,"children":2371},{},[2372],{"type":65,"value":2373},"Create tables and columns",{"type":52,"tag":351,"props":2375,"children":2376},{},[2377],{"type":65,"value":2378},"Creating tables and columns",{"type":52,"tag":351,"props":2380,"children":2381},{},[2382],{"type":65,"value":2383},"POST to OData API to create tables and columns",{"type":52,"tag":329,"props":2385,"children":2386},{},[2387,2392,2397],{"type":52,"tag":351,"props":2388,"children":2389},{},[2390],{"type":65,"value":2391},"Create relationships",{"type":52,"tag":351,"props":2393,"children":2394},{},[2395],{"type":65,"value":2396},"Creating relationships",{"type":52,"tag":351,"props":2398,"children":2399},{},[2400],{"type":65,"value":2401},"POST to OData API to create 1:N and M:N relationships",{"type":52,"tag":329,"props":2403,"children":2404},{},[2405,2410,2415],{"type":52,"tag":351,"props":2406,"children":2407},{},[2408],{"type":65,"value":2409},"Publish and verify",{"type":52,"tag":351,"props":2411,"children":2412},{},[2413],{"type":65,"value":2414},"Publishing and verifying",{"type":52,"tag":351,"props":2416,"children":2417},{},[2418],{"type":65,"value":2419},"Publish customizations, verify tables, write manifest, present summary",{"type":52,"tag":57,"props":2421,"children":2422},{},[2423,2425,2431,2433,2439,2441,2447],{"type":65,"value":2424},"Mark each task ",{"type":52,"tag":70,"props":2426,"children":2428},{"className":2427},[],[2429],{"type":65,"value":2430},"in_progress",{"type":65,"value":2432}," when starting it and ",{"type":52,"tag":70,"props":2434,"children":2436},{"className":2435},[],[2437],{"type":65,"value":2438},"completed",{"type":65,"value":2440}," when done via ",{"type":52,"tag":70,"props":2442,"children":2444},{"className":2443},[],[2445],{"type":65,"value":2446},"TaskUpdate",{"type":65,"value":2448},". This gives the user visibility into progress and keeps the workflow deterministic.",{"type":52,"tag":143,"props":2450,"children":2451},{},[],{"type":52,"tag":57,"props":2453,"children":2454},{},[2455],{"type":52,"tag":61,"props":2456,"children":2457},{},[2458],{"type":65,"value":2459},"Begin with Phase 1: Verify Prerequisites",{"type":52,"tag":2461,"props":2462,"children":2463},"style",{},[2464],{"type":65,"value":2465},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":2467,"total":2660},[2468,2490,2511,2532,2547,2564,2575,2588,2603,2618,2635,2648],{"slug":2469,"name":2469,"fn":2470,"description":2471,"org":2472,"tags":2473,"stars":2487,"repoUrl":2488,"updatedAt":2489},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2474,2477,2480,2481,2484],{"name":2475,"slug":2476,"type":15},"Engineering","engineering",{"name":2478,"slug":2479,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":2482,"slug":2483,"type":15},"Project Management","project-management",{"name":2485,"slug":2486,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":2491,"name":2491,"fn":2492,"description":2493,"org":2494,"tags":2495,"stars":2508,"repoUrl":2509,"updatedAt":2510},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2496,2499,2502,2505],{"name":2497,"slug":2498,"type":15},".NET","net",{"name":2500,"slug":2501,"type":15},"Agents","agents",{"name":2503,"slug":2504,"type":15},"Azure","azure",{"name":2506,"slug":2507,"type":15},"LLM","llm",2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":2512,"name":2512,"fn":2513,"description":2514,"org":2515,"tags":2516,"stars":2508,"repoUrl":2509,"updatedAt":2531},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2517,2520,2521,2524,2527,2528],{"name":2518,"slug":2519,"type":15},"Analytics","analytics",{"name":2503,"slug":2504,"type":15},{"name":2522,"slug":2523,"type":15},"Data Analysis","data-analysis",{"name":2525,"slug":2526,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":2529,"slug":2530,"type":15},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":2533,"name":2533,"fn":2534,"description":2535,"org":2536,"tags":2537,"stars":2508,"repoUrl":2509,"updatedAt":2546},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2538,2541,2542,2543],{"name":2539,"slug":2540,"type":15},"AI Infrastructure","ai-infrastructure",{"name":2503,"slug":2504,"type":15},{"name":2525,"slug":2526,"type":15},{"name":2544,"slug":2545,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":2548,"name":2548,"fn":2549,"description":2550,"org":2551,"tags":2552,"stars":2508,"repoUrl":2509,"updatedAt":2563},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2553,2554,2557,2558,2559,2562],{"name":2503,"slug":2504,"type":15},{"name":2555,"slug":2556,"type":15},"Compliance","compliance",{"name":2506,"slug":2507,"type":15},{"name":9,"slug":8,"type":15},{"name":2560,"slug":2561,"type":15},"Python","python",{"name":2544,"slug":2545,"type":15},"2026-07-18T05:14:23.017504",{"slug":2565,"name":2565,"fn":2566,"description":2567,"org":2568,"tags":2569,"stars":2508,"repoUrl":2509,"updatedAt":2574},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2570,2571,2572,2573],{"name":2518,"slug":2519,"type":15},{"name":2503,"slug":2504,"type":15},{"name":2506,"slug":2507,"type":15},{"name":2560,"slug":2561,"type":15},"2026-07-31T05:54:29.068751",{"slug":2576,"name":2576,"fn":2577,"description":2578,"org":2579,"tags":2580,"stars":2508,"repoUrl":2509,"updatedAt":2587},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2581,2584,2585,2586],{"name":2582,"slug":2583,"type":15},"API Development","api-development",{"name":2503,"slug":2504,"type":15},{"name":9,"slug":8,"type":15},{"name":2560,"slug":2561,"type":15},"2026-07-18T05:14:16.988376",{"slug":2589,"name":2589,"fn":2590,"description":2591,"org":2592,"tags":2593,"stars":2508,"repoUrl":2509,"updatedAt":2602},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2594,2595,2598,2601],{"name":2503,"slug":2504,"type":15},{"name":2596,"slug":2597,"type":15},"Computer Vision","computer-vision",{"name":2599,"slug":2600,"type":15},"Images","images",{"name":2560,"slug":2561,"type":15},"2026-07-18T05:14:18.007737",{"slug":2604,"name":2604,"fn":2605,"description":2606,"org":2607,"tags":2608,"stars":2508,"repoUrl":2509,"updatedAt":2617},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2609,2610,2613,2616],{"name":2503,"slug":2504,"type":15},{"name":2611,"slug":2612,"type":15},"Configuration","configuration",{"name":2614,"slug":2615,"type":15},"Feature Flags","feature-flags",{"name":2525,"slug":2526,"type":15},"2026-07-03T16:32:01.278468",{"slug":2619,"name":2619,"fn":2620,"description":2621,"org":2622,"tags":2623,"stars":2508,"repoUrl":2509,"updatedAt":2634},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2624,2627,2628,2631],{"name":2625,"slug":2626,"type":15},"Cosmos DB","cosmos-db",{"name":18,"slug":19,"type":15},{"name":2629,"slug":2630,"type":15},"NoSQL","nosql",{"name":2632,"slug":2633,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":2636,"name":2636,"fn":2620,"description":2637,"org":2638,"tags":2639,"stars":2508,"repoUrl":2509,"updatedAt":2647},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2640,2641,2642,2643,2644],{"name":2625,"slug":2626,"type":15},{"name":18,"slug":19,"type":15},{"name":9,"slug":8,"type":15},{"name":2629,"slug":2630,"type":15},{"name":2645,"slug":2646,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":2649,"name":2649,"fn":2650,"description":2651,"org":2652,"tags":2653,"stars":2508,"repoUrl":2509,"updatedAt":2659},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2654,2655,2656,2657,2658],{"name":2503,"slug":2504,"type":15},{"name":2625,"slug":2626,"type":15},{"name":18,"slug":19,"type":15},{"name":2525,"slug":2526,"type":15},{"name":2629,"slug":2630,"type":15},"2026-05-13T06:14:17.582229",267,{"items":2662,"total":2751},[2663,2675,2689,2699,2710,2723,2737],{"slug":2664,"name":2664,"fn":2665,"description":2666,"org":2667,"tags":2668,"stars":26,"repoUrl":27,"updatedAt":2674},"activate-site","provision and activate Power Pages sites","Activates and provisions a Power Pages website in a Power Platform environment via the Power Platform REST API. Use when the user wants to activate, provision, turn on, or enable a Power Pages website or portal.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2669,2672,2673],{"name":2670,"slug":2671,"type":15},"Deployment","deployment",{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},"2026-04-06T18:34:34.732549",{"slug":2676,"name":2676,"fn":2677,"description":2678,"org":2679,"tags":2680,"stars":26,"repoUrl":27,"updatedAt":2688},"add-connector","add Power Platform connectors to apps","Adds any Power Platform connector to a Power Apps code app. Generic fallback for connectors not covered by a specific skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2681,2684,2686],{"name":2682,"slug":2683,"type":15},"Integrations","integrations",{"name":2685,"slug":36,"type":15},"Power Apps",{"name":2687,"slug":37,"type":15},"Power Platform","2026-07-31T05:54:47.042251",{"slug":2690,"name":2690,"fn":2691,"description":2692,"org":2693,"tags":2694,"stars":26,"repoUrl":27,"updatedAt":2698},"add-datasource","add data sources to Power Apps","Adds a data source or connector to a Power Apps code app. Asks what the user wants to accomplish and routes to the appropriate specialized skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2695,2696,2697],{"name":2682,"slug":2683,"type":15},{"name":9,"slug":8,"type":15},{"name":2685,"slug":36,"type":15},"2026-07-03T16:31:47.822186",{"slug":2700,"name":2700,"fn":2701,"description":2702,"org":2703,"tags":2704,"stars":26,"repoUrl":27,"updatedAt":2709},"add-dataverse","add Dataverse tables to Power Apps","Use when the user wants to add Dataverse tables (existing or new) to a Power Apps mobile app, extend an existing Dataverse table with new columns, or apply an approved data model plan.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2705,2706,2707,2708],{"name":21,"slug":22,"type":15},{"name":24,"slug":25,"type":15},{"name":9,"slug":8,"type":15},{"name":2685,"slug":36,"type":15},"2026-07-31T05:54:46.078014",{"slug":2711,"name":2711,"fn":2712,"description":2713,"org":2714,"tags":2715,"stars":26,"repoUrl":27,"updatedAt":2722},"add-excel","integrate Excel Online into Power Apps","Adds Excel Online (Business) connector to a Power Apps code app. Use when reading or writing Excel workbook data from OneDrive or SharePoint.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2716,2719,2720,2721],{"name":2717,"slug":2718,"type":15},"Excel","excel",{"name":2682,"slug":2683,"type":15},{"name":9,"slug":8,"type":15},{"name":2685,"slug":36,"type":15},"2026-07-31T05:54:44.030943",{"slug":2724,"name":2724,"fn":2725,"description":2726,"org":2727,"tags":2728,"stars":26,"repoUrl":27,"updatedAt":2736},"add-mcscopilot","add Copilot Studio connectors to Power Apps","Adds Microsoft Copilot Studio connector to a Power Apps code app. Use when invoking Copilot Studio agents, sending prompts to agents, or integrating agent responses.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2729,2730,2733,2734,2735],{"name":2500,"slug":2501,"type":15},{"name":2731,"slug":2732,"type":15},"Copilot Studio","copilot-studio",{"name":2682,"slug":2683,"type":15},{"name":9,"slug":8,"type":15},{"name":2685,"slug":36,"type":15},"2026-07-31T05:54:39.025597",{"slug":2738,"name":2738,"fn":2739,"description":2740,"org":2741,"tags":2742,"stars":26,"repoUrl":27,"updatedAt":2750},"add-sample-data","populate Power Pages tables with sample data","Populates Dataverse tables with sample records for testing and demoing a Power Pages site. Use when the user wants to add sample data, seed data, generate test records, or insert demo data into their tables.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2743,2744,2745,2746,2747],{"name":18,"slug":19,"type":15},{"name":24,"slug":25,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":2748,"slug":2749,"type":15},"Testing","testing","2026-04-06T18:34:41.141155",26]