[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-cline-knowledge-catalog-discovery":3,"mdc--j1pbwf-key":33,"related-repo-cline-knowledge-catalog-discovery":613,"related-org-cline-knowledge-catalog-discovery":738},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"knowledge-catalog-discovery","discover data assets in Knowledge Catalog","Use these skills when you need to discover and explore data assets in the Knowledge Catalog. 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It allows you to search for entries, lookup specific metadata, and explore aspect types to understand your data platform's assets.\n---\n\n## Usage\n\nAll scripts can be executed using Node.js. Replace `\u003Cparam_name>` and `\u003Cparam_value>` with actual values.\n\n**Bash:**\n`node \u003Cskill_dir>\u002Fscripts\u002F\u003Cscript_name>.js '{\"\u003Cparam_name>\": \"\u003Cparam_value>\"}'`\n\n**PowerShell:**\n`node \u003Cskill_dir>\u002Fscripts\u002F\u003Cscript_name>.js '{\\\"\u003Cparam_name>\\\": \\\"\u003Cparam_value>\\\"}'`\n\nNote: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.\n\n\n## Scripts\n\n\n### lookup_context\n\nRetrieves rich metadata regarding one or more data assets along with their relationships.\n\n#### Parameters\n\n| Name | Type | Description | Required | Default |\n| :--- | :--- | :--- | :--- | :--- |\n| resources | array | Required. A list of up to 10 resource names. Resources may belong to different projects, but all must belong to the same location. | Yes |  |\n\n\n---\n\n### lookup_entry\n\nRetrieves a specific metadata regarding a data asset (e.g. table\u002Fdataset\u002Fview) from Catalog\n\n#### Parameters\n\n| Name | Type | Description | Required | Default |\n| :--- | :--- | :--- | :--- | :--- |\n| entry | string | Required. The resource name of the Entry in the following form: projects\u002F{project}\u002Flocations\u002F{location}\u002FentryGroups\u002F{entryGroup}\u002Fentries\u002F{entry}. | Yes |  |\n| view | integer | \n\t\t\t\t## Argument: view\n\n\t\t\t\t**Type:** Integer\n\n\t\t\t\t**Description:** Optional. Specifies the parts of the entry and its aspects to return.\n\n\t\t\t\t**Possible Values:**\n\n\t\t\t\t*   1 (BASIC): Returns entry without aspects.\n\t\t\t\t*   2 (FULL): Return all required aspects and the keys of non-required aspects. (Default)\n\t\t\t\t*   3 (CUSTOM): Return the entry and aspects requested in aspect_types field (at most 100 aspects). Always use this view when aspect_types is not empty.\n\t\t\t\t*   4 (ALL): Return the entry and both required and optional aspects (at most 100 aspects)\n\t\t\t\t | No | `2` |\n| aspectTypes | array | Optional. Limits the aspects returned to the provided aspect types. It only works when used together with CUSTOM view. | No | `[]` |\n\n\n---\n\n### search_aspect_types\n\nSearch aspect types relevant to the query.\n\n#### Parameters\n\n| Name | Type | Description | Required | Default |\n| :--- | :--- | :--- | :--- | :--- |\n| query | string | The query against which aspect type should be matched. | Yes |  |\n| pageSize | integer | Number of returned aspect types in the search page. | No | `5` |\n| orderBy | string | Specifies the ordering of results. Supported values are: relevance, last_modified_timestamp, last_modified_timestamp asc | No | `relevance` |\n\n\n---\n\n### search_entries\n\nSearches for data assets (eg. table\u002Fdataset\u002Fview) in Catalog based on the provided search query.\n\n#### Parameters\n\n| Name | Type | Description | Required | Default |\n| :--- | :--- | :--- | :--- | :--- |\n| query | string | A query string for searching entries, following Dataplex search syntax. Supports logical operators (AND, OR, NOT) and grouping. For example, to find a table that might have been renamed, you could use 'type:table (name:books OR fiction)'. This can be more efficient than multiple separate calls.Warning: Performing broad searches without specific filters (e.g., type:table) can be slow and consume significant resources. 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Resources may belong to different projects, but all must belong to the same location.",{"type":39,"tag":175,"props":191,"children":192},{"align":143},[193],{"type":45,"value":194},"Yes",{"type":39,"tag":175,"props":196,"children":197},{"align":143},[],{"type":39,"tag":199,"props":200,"children":201},"hr",{},[],{"type":39,"tag":111,"props":203,"children":205},{"id":204},"lookup_entry",[206],{"type":45,"value":204},{"type":39,"tag":48,"props":208,"children":209},{},[210],{"type":45,"value":211},"Retrieves a specific metadata regarding a data asset (e.g. table\u002Fdataset\u002Fview) from Catalog",{"type":39,"tag":122,"props":213,"children":215},{"id":214},"parameters-1",[216],{"type":45,"value":127},{"type":39,"tag":129,"props":218,"children":219},{},[220,246],{"type":39,"tag":133,"props":221,"children":222},{},[223],{"type":39,"tag":137,"props":224,"children":225},{},[226,230,234,238,242],{"type":39,"tag":141,"props":227,"children":228},{"align":143},[229],{"type":45,"value":146},{"type":39,"tag":141,"props":231,"children":232},{"align":143},[233],{"type":45,"value":151},{"type":39,"tag":141,"props":235,"children":236},{"align":143},[237],{"type":45,"value":156},{"type":39,"tag":141,"props":239,"children":240},{"align":143},[241],{"type":45,"value":161},{"type":39,"tag":141,"props":243,"children":244},{"align":143},[245],{"type":45,"value":166},{"type":39,"tag":168,"props":247,"children":248},{},[249,274],{"type":39,"tag":137,"props":250,"children":251},{},[252,257,262,267,271],{"type":39,"tag":175,"props":253,"children":254},{"align":143},[255],{"type":45,"value":256},"entry",{"type":39,"tag":175,"props":258,"children":259},{"align":143},[260],{"type":45,"value":261},"string",{"type":39,"tag":175,"props":263,"children":264},{"align":143},[265],{"type":45,"value":266},"Required. 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Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify\u002F directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM\u002FCDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[640,643,644,647,650],{"name":641,"slug":642,"type":15},"Auth","auth",{"name":625,"slug":626,"type":15},{"name":645,"slug":646,"type":15},"Database","database",{"name":648,"slug":649,"type":15},"Frontend","frontend",{"name":651,"slug":652,"type":15},"TypeScript","typescript","2026-07-12T08:13:47.134012",{"slug":655,"name":655,"fn":656,"description":657,"org":658,"tags":659,"stars":22,"repoUrl":23,"updatedAt":672},"analyzer","analyze queried data for trends","Analyze queried data for trends, week-over-week comparisons, distributions, funnels, cohorts, top-N lists, anomalies, sanity checks, and report-ready findings. Use after or alongside ClickHouse queries when the user wants insight rather than raw rows.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[660,663,666,669],{"name":661,"slug":662,"type":15},"Analytics","analytics",{"name":664,"slug":665,"type":15},"ClickHouse","clickhouse",{"name":667,"slug":668,"type":15},"Data Analysis","data-analysis",{"name":670,"slug":671,"type":15},"Statistics","statistics","2026-07-12T08:14:05.606036",{"slug":674,"name":674,"fn":675,"description":676,"org":677,"tags":678,"stars":22,"repoUrl":23,"updatedAt":689},"artifact-management","manage and organize analysis artifacts","Save, organize, and describe reusable analysis artifacts such as SQL, result snapshots, CSV exports, summaries, caveats, plots, and report-ready files. Use when users ask to save, export, share, cite, reproduce, or organize data-analysis outputs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[679,680,683,686],{"name":667,"slug":668,"type":15},{"name":681,"slug":682,"type":15},"Productivity","productivity",{"name":684,"slug":685,"type":15},"Reporting","reporting",{"name":687,"slug":688,"type":15},"SQL","sql","2026-07-12T08:14:09.265555",{"slug":691,"name":691,"fn":692,"description":693,"org":694,"tags":695,"stars":22,"repoUrl":23,"updatedAt":705},"attorney-assist","connect with attorneys for legal consultation","Connects the user with a LegalZoom attorney for legal consultation. Use when a user asks about attorneys, lawyers, or legal help, or when contract review reveals high risks or low-confidence findings.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[696,699,702],{"name":697,"slug":698,"type":15},"Contracts","contracts",{"name":700,"slug":701,"type":15},"Legal","legal",{"name":703,"slug":704,"type":15},"Risk Assessment","risk-assessment","2026-07-12T08:13:45.878361",{"slug":707,"name":707,"fn":708,"description":709,"org":710,"tags":711,"stars":22,"repoUrl":23,"updatedAt":724},"building-pydantic-ai-agents","build AI agents with Pydantic AI","Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools\u002Fcapabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[712,715,718,721],{"name":713,"slug":714,"type":15},"Agents","agents",{"name":716,"slug":717,"type":15},"LLM","llm",{"name":719,"slug":720,"type":15},"Multi-Agent","multi-agent",{"name":722,"slug":723,"type":15},"Python","python","2026-07-12T08:14:01.893781",{"slug":665,"name":665,"fn":726,"description":727,"org":728,"tags":729,"stars":22,"repoUrl":23,"updatedAt":736},"query ClickHouse databases via CLI","Connect to and query ClickHouse (a local server or a ClickHouse Cloud service) from the terminal using the official clickhousectl CLI, including the browser OAuth login flow. Use when the user wants to run SQL against ClickHouse, explore schemas and tables, inspect Cloud services, or authenticate clickhousectl. For building a local dev environment or deploying to Cloud, defer to the official ClickHouse skills (see Scope).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[730,731,734,735],{"name":661,"slug":662,"type":15},{"name":732,"slug":733,"type":15},"CLI","cli",{"name":664,"slug":665,"type":15},{"name":645,"slug":646,"type":15},"2026-07-12T08:14:06.829692",43,{"items":739,"total":863},[740,747,755,762,769,775,782,789,801,819,839,852],{"slug":616,"name":616,"fn":617,"description":618,"org":741,"tags":742,"stars":22,"repoUrl":23,"updatedAt":633},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[743,744,745,746],{"name":622,"slug":623,"type":15},{"name":625,"slug":626,"type":15},{"name":628,"slug":629,"type":15},{"name":631,"slug":632,"type":15},{"slug":635,"name":635,"fn":636,"description":637,"org":748,"tags":749,"stars":22,"repoUrl":23,"updatedAt":653},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[750,751,752,753,754],{"name":641,"slug":642,"type":15},{"name":625,"slug":626,"type":15},{"name":645,"slug":646,"type":15},{"name":648,"slug":649,"type":15},{"name":651,"slug":652,"type":15},{"slug":655,"name":655,"fn":656,"description":657,"org":756,"tags":757,"stars":22,"repoUrl":23,"updatedAt":672},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[758,759,760,761],{"name":661,"slug":662,"type":15},{"name":664,"slug":665,"type":15},{"name":667,"slug":668,"type":15},{"name":670,"slug":671,"type":15},{"slug":674,"name":674,"fn":675,"description":676,"org":763,"tags":764,"stars":22,"repoUrl":23,"updatedAt":689},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[765,766,767,768],{"name":667,"slug":668,"type":15},{"name":681,"slug":682,"type":15},{"name":684,"slug":685,"type":15},{"name":687,"slug":688,"type":15},{"slug":691,"name":691,"fn":692,"description":693,"org":770,"tags":771,"stars":22,"repoUrl":23,"updatedAt":705},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[772,773,774],{"name":697,"slug":698,"type":15},{"name":700,"slug":701,"type":15},{"name":703,"slug":704,"type":15},{"slug":707,"name":707,"fn":708,"description":709,"org":776,"tags":777,"stars":22,"repoUrl":23,"updatedAt":724},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[778,779,780,781],{"name":713,"slug":714,"type":15},{"name":716,"slug":717,"type":15},{"name":719,"slug":720,"type":15},{"name":722,"slug":723,"type":15},{"slug":665,"name":665,"fn":726,"description":727,"org":783,"tags":784,"stars":22,"repoUrl":23,"updatedAt":736},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[785,786,787,788],{"name":661,"slug":662,"type":15},{"name":732,"slug":733,"type":15},{"name":664,"slug":665,"type":15},{"name":645,"slug":646,"type":15},{"slug":790,"name":790,"fn":791,"description":792,"org":793,"tags":794,"stars":22,"repoUrl":23,"updatedAt":800},"cline-session-history","search and browse Cline session history","Search and browse Cline session history. Use when the user asks to find, list, inspect, or export Cline sessions by time period, prompt content, status, model, provider, source, mode, workspace, or other criteria. Also use when the user wants to read a session transcript or export sessions to a directory. Trigger phrases include \"find my session\", \"search my session history\", \"show me past sessions\", \"what was that session where\", \"find the session that started with\", and any mention of past Cline conversations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[795,796,799],{"name":713,"slug":714,"type":15},{"name":797,"slug":798,"type":15},"History","history",{"name":681,"slug":682,"type":15},"2026-07-19T06:03:13.945151",{"slug":802,"name":802,"fn":803,"description":804,"org":805,"tags":806,"stars":22,"repoUrl":23,"updatedAt":818},"convex-design","build reactive backends with Convex","Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries\u002Fmutations\u002Factions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM\u002Fagent workflows on Convex's one-platform stack.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[807,808,811,812,815],{"name":641,"slug":642,"type":15},{"name":809,"slug":810,"type":15},"Backend","backend",{"name":645,"slug":646,"type":15},{"name":813,"slug":814,"type":15},"Real-time","real-time",{"name":816,"slug":817,"type":15},"Storage","storage","2026-07-12T08:13:37.101253",{"slug":820,"name":820,"fn":821,"description":822,"org":823,"tags":824,"stars":22,"repoUrl":23,"updatedAt":838},"cosmosdb-best-practices","optimize Azure Cosmos DB performance","Azure Cosmos DB performance optimization and best practices guidelines for NoSQL,\npartitioning, queries, SDK usage, and vector search. Use when writing, reviewing,\nor refactoring code that interacts with Azure Cosmos DB, designing data models,\noptimizing queries, or implementing high-performance database operations.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[825,828,831,832,835],{"name":826,"slug":827,"type":15},"Azure","azure",{"name":829,"slug":830,"type":15},"Cosmos DB","cosmos-db",{"name":645,"slug":646,"type":15},{"name":833,"slug":834,"type":15},"NoSQL","nosql",{"name":836,"slug":837,"type":15},"Performance","performance","2026-07-12T08:13:54.531719",{"slug":840,"name":840,"fn":841,"description":842,"org":843,"tags":844,"stars":22,"repoUrl":23,"updatedAt":851},"data-analyst","analyze ClickHouse analytics data","Act as an interactive data analyst for ClickHouse-backed analytics. Use when the user asks questions about internal data, metrics, dashboards, telemetry, active users, revenue, funnels, trends, distributions, or wants an analyst-style conversation, ad hoc SQL, charts, or a data export against ClickHouse (local or ClickHouse Cloud).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[845,846,847,850],{"name":661,"slug":662,"type":15},{"name":664,"slug":665,"type":15},{"name":848,"slug":849,"type":15},"Dashboards","dashboards",{"name":667,"slug":668,"type":15},"2026-07-12T08:13:31.975246",{"slug":853,"name":853,"fn":854,"description":855,"org":856,"tags":857,"stars":22,"repoUrl":23,"updatedAt":862},"dataproc-skills","manage Dataproc clusters and jobs","Skills to interact with your Dataproc clusters and jobs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[858,859],{"name":13,"slug":14,"type":15},{"name":860,"slug":861,"type":15},"Operations","operations","2026-07-12T08:13:42.179275",45]