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For common connectors, prefer the dedicated skills:\n\n- `\u002Fadd-dataverse` -- Dataverse tables\n- `\u002Fadd-azuredevops` -- Azure DevOps\n- `\u002Fadd-teams` -- Microsoft Teams\n- `\u002Fadd-excel` -- Excel Online (Business)\n- `\u002Fadd-onedrive` -- OneDrive for Business\n- `\u002Fadd-sharepoint` -- SharePoint Online\n- `\u002Fadd-office365` -- Office 365 Outlook (calendar, email, contacts)\n- `\u002Fadd-workiq` -- Work IQ (M365 Copilot Search)\n\n## Workflow\n\n1. Check Memory Bank → 2. Identify Connector → 3. Add Connector → 4. Inspect & Configure → 5. Build → 6. Update Memory Bank\n\n---\n\n### Step 1: Check Memory Bank\n\nCheck for `memory-bank.md` per [shared-instructions.md](${PLUGIN_ROOT}\u002Fshared\u002Fshared-instructions.md).\n\n### Step 2: Identify Connector\n\n**If `$ARGUMENTS` is provided or the caller already specified the connector**, use it directly and skip the question below.\n\nOtherwise, ask the user which connector they want to add. Browse available connectors: [Connector Reference](https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fconnectors\u002Fconnector-reference\u002F)\n\n**Before proceeding, check if the connector has a dedicated skill. If it does, delegate immediately and STOP:**\n\n| Connector API name          | Delegate to        |\n| --------------------------- | ------------------ |\n| `shared_a365copilotchatmcp` | `\u002Fadd-workiq`      |\n| `sharepointonline`          | `\u002Fadd-sharepoint`  |\n| `teams`                     | `\u002Fadd-teams`       |\n| `excelonlinebusiness`       | `\u002Fadd-excel`       |\n| `onedriveforbusiness`       | `\u002Fadd-onedrive`    |\n| `azuredevops`               | `\u002Fadd-azuredevops` |\n| `office365`                 | `\u002Fadd-office365`   |\n| `commondataservice`         | `\u002Fadd-dataverse`   |\n\nInvoke the appropriate skill with the same `$ARGUMENTS` and **do not continue this skill's workflow**.\n\nCommon connector API names:\n\n- `sharepointonline`, `teams`, `excelonlinebusiness`, `onedriveforbusiness`\n- `azuredevops`, `azureblob`, `azurequeues`\n- `office365`, `office365users`, `office365groups`\n- `sql`, `commondataservice`\n\n### Step 3: Add Connector\n\n**First, find the connection ID** (see [connector-reference.md](${PLUGIN_ROOT}\u002Fshared\u002Fconnector-reference.md)):\n\nRun the `\u002Flist-connections` skill. Find the connector in the output. If none exists, direct the user to create one using the environment-specific Connections URL — construct it from the active environment ID in context (from `power.config.json` or a prior step): `https:\u002F\u002Fmake.powerapps.com\u002Fenvironments\u002F\u003Cenvironment-id>\u002Fconnections` → **+ New connection** → search for the connector → Create.\n\n```bash\n# Non-tabular connectors (Teams, Azure DevOps, etc.)\npa app add data-source --connector \u003Cconnector-api-name> -c \u003Cconnection-id>\n\n# Tabular connectors (SharePoint, Excel, SQL, etc.) -- also need dataset and table\npa app add data-source --connector \u003Cconnector-api-name> -c \u003Cconnection-id> -d '\u003Cdataset>' --table '\u003Ctable>'\n```\n\n**Parameter reference:**\n\n- `--connector` (apiId) -- connector name (e.g., `sharepointonline`, `teams`). On the flat `power-apps` binary this is `--api-id`\u002F`-a`.\n- `-c` (connectionId) -- **required** for all non-Dataverse connectors. Get from `\u002Flist-connections`.\n- `-d` (dataset) -- required for tabular datasources (e.g., SharePoint site URL, SQL database). Not needed for Dataverse.\n- `--table` (table) -- table\u002Flist name for tabular datasources (e.g., SharePoint list, Dataverse table logical name). 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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},[1314,1317,1318,1319],{"name":1315,"slug":1316,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1279,"slug":1280,"type":15},{"name":1301,"slug":1302,"type":15},{"name":1320,"slug":1321,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":1324,"name":1324,"fn":1325,"description":1326,"org":1327,"tags":1328,"stars":1284,"repoUrl":1285,"updatedAt":1339},"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},[1329,1330,1333,1334,1335,1338],{"name":1279,"slug":1280,"type":15},{"name":1331,"slug":1332,"type":15},"Compliance","compliance",{"name":1282,"slug":1283,"type":15},{"name":9,"slug":8,"type":15},{"name":1336,"slug":1337,"type":15},"Python","python",{"name":1320,"slug":1321,"type":15},"2026-07-18T05:14:23.017504",{"slug":1341,"name":1341,"fn":1342,"description":1343,"org":1344,"tags":1345,"stars":1284,"repoUrl":1285,"updatedAt":1350},"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},[1346,1347,1348,1349],{"name":1294,"slug":1295,"type":15},{"name":1279,"slug":1280,"type":15},{"name":1282,"slug":1283,"type":15},{"name":1336,"slug":1337,"type":15},"2026-07-31T05:54:29.068751",{"slug":1352,"name":1352,"fn":1353,"description":1354,"org":1355,"tags":1356,"stars":1284,"repoUrl":1285,"updatedAt":1363},"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},[1357,1360,1361,1362],{"name":1358,"slug":1359,"type":15},"API Development","api-development",{"name":1279,"slug":1280,"type":15},{"name":9,"slug":8,"type":15},{"name":1336,"slug":1337,"type":15},"2026-07-18T05:14:16.988376",{"slug":1365,"name":1365,"fn":1366,"description":1367,"org":1368,"tags":1369,"stars":1284,"repoUrl":1285,"updatedAt":1378},"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},[1370,1371,1374,1377],{"name":1279,"slug":1280,"type":15},{"name":1372,"slug":1373,"type":15},"Computer Vision","computer-vision",{"name":1375,"slug":1376,"type":15},"Images","images",{"name":1336,"slug":1337,"type":15},"2026-07-18T05:14:18.007737",{"slug":1380,"name":1380,"fn":1381,"description":1382,"org":1383,"tags":1384,"stars":1284,"repoUrl":1285,"updatedAt":1393},"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},[1385,1386,1389,1392],{"name":1279,"slug":1280,"type":15},{"name":1387,"slug":1388,"type":15},"Configuration","configuration",{"name":1390,"slug":1391,"type":15},"Feature Flags","feature-flags",{"name":1301,"slug":1302,"type":15},"2026-07-03T16:32:01.278468",{"slug":1395,"name":1395,"fn":1396,"description":1397,"org":1398,"tags":1399,"stars":1284,"repoUrl":1285,"updatedAt":1410},"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},[1400,1403,1404,1407],{"name":1401,"slug":1402,"type":15},"Cosmos DB","cosmos-db",{"name":1234,"slug":1235,"type":15},{"name":1405,"slug":1406,"type":15},"NoSQL","nosql",{"name":1408,"slug":1409,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1412,"name":1412,"fn":1396,"description":1413,"org":1414,"tags":1415,"stars":1284,"repoUrl":1285,"updatedAt":1423},"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},[1416,1417,1418,1419,1420],{"name":1401,"slug":1402,"type":15},{"name":1234,"slug":1235,"type":15},{"name":9,"slug":8,"type":15},{"name":1405,"slug":1406,"type":15},{"name":1421,"slug":1422,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1425,"name":1425,"fn":1426,"description":1427,"org":1428,"tags":1429,"stars":1284,"repoUrl":1285,"updatedAt":1435},"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},[1430,1431,1432,1433,1434],{"name":1279,"slug":1280,"type":15},{"name":1401,"slug":1402,"type":15},{"name":1234,"slug":1235,"type":15},{"name":1301,"slug":1302,"type":15},{"name":1405,"slug":1406,"type":15},"2026-05-13T06:14:17.582229",267]