add-connector

作者: microsoft

將任何 Power Platform 連接器新增至 Power Apps 程式碼應用程式。適用於未由特定技能涵蓋之連接器的一般備用方案。

npx skills add https://github.com/microsoft/power-platform-skills --skill add-connector

📋 Shared Instructions: shared-instructions.md - Cross-cutting concerns.

Add Connector (Generic)

Fallback skill for any connector not covered by a specific /add-* skill. For common connectors, prefer the dedicated skills:

  • /add-dataverse -- Dataverse tables
  • /add-azuredevops -- Azure DevOps
  • /add-teams -- Microsoft Teams
  • /add-excel -- Excel Online (Business)
  • /add-onedrive -- OneDrive for Business
  • /add-sharepoint -- SharePoint Online
  • /add-office365 -- Office 365 Outlook (calendar, email, contacts)
  • /add-workiq -- Work IQ (M365 Copilot Search)

Workflow

  1. Check Memory Bank → 2. Identify Connector → 3. Add Connector → 4. Inspect & Configure → 5. Build → 6. Update Memory Bank

Step 1: Check Memory Bank

Check for memory-bank.md per shared-instructions.md.

Step 2: Identify Connector

If $ARGUMENTS is provided or the caller already specified the connector, use it directly and skip the question below.

Otherwise, ask the user which connector they want to add. Browse available connectors: Connector Reference

Before proceeding, check if the connector has a dedicated skill. If it does, delegate immediately and STOP:

Connector API nameDelegate to
shared_a365copilotchatmcp/add-workiq
sharepointonline/add-sharepoint
teams/add-teams
excelonlinebusiness/add-excel
onedriveforbusiness/add-onedrive
visualstudioteamservices/add-azuredevops
office365/add-office365
commondataservice/add-dataverse

Match the API name with or without the shared_ prefix (pa connector list shows it with the prefix, e.g. shared_teams).

Invoke the appropriate skill with the same $ARGUMENTS and do not continue this skill's workflow.

Common connector API names:

  • sharepointonline, teams, excelonlinebusiness, onedriveforbusiness
  • visualstudioteamservices (Azure DevOps), azureblob, azurequeues
  • office365, office365users, office365groups
  • sql, commondataservice

Step 3: Add Connector

Get the connection as described in connector-reference.md. On CLI 1.3.0+ (PA_INLINE_CONNECTIONS=yes), tell the user a connection may be created with their account, run the add without -c and with --non-interactive, and handle the result with the outcome table there. On older CLIs, run /list-connections first to find the connection ID (if none exists, create one with pa connection create as described in connector-reference.md) and pass -c <connection-id>.

# CLI 1.3.0+, connectors that only have actions (Teams, Office 365 Outlook, Azure DevOps, ...):
# the CLI finds or creates the connection
pa app add data-source --connector <connector-api-name> --non-interactive

# CLI 1.3.0+, connectors that also support tables (SharePoint, SQL Server, Excel): choose
# --as action (or a table, below). Without either, --non-interactive fails on the missing choice.
pa app add data-source --connector <connector-api-name> --as action --non-interactive

# Older CLIs: pass the connection ID
pa app add data-source --connector <connector-api-name> -c <connection-id>

# Tables (SharePoint, Excel, SQL, etc.) on any CLI: dataset and table, plus the connection ID used to find them
pa app add data-source --connector <connector-api-name> -c <connection-id> -d '<dataset>' --table '<table>'

To check whether a connector also supports tables, read isTabular from pa connector list --search '<connector name>' --json.

Finding a table's dataset and name (pa connection list-datasets / list-tables) needs a connection ID: unlike add data-source, these commands don't find or create connections, and without -c they fail in non-interactive mode. So for tables, look the connection up first, even on CLI 1.3.0+ (pa connection list --search <connector-api-name> --json).

Parameter reference:

  • --connector (apiId) -- connector name (e.g., sharepointonline, teams). On the flat power-apps binary this is --api-id/-a.
  • -c (connectionId) -- required on CLIs older than 1.3.0. On 1.3.0+ it's optional: without it the CLI reuses or creates the connection (see connector-reference.md). Get IDs from /list-connections.
  • -d (dataset) -- required for tabular datasources (e.g., SharePoint site URL, SQL database). Not needed for Dataverse.
  • --table (table) -- table/list name for tabular datasources (e.g., SharePoint list, Dataverse table logical name). On the flat power-apps binary this is --resource-name/-t.
  • --as -- table or action, for connectors that support both (CLI 1.2.0+). Use --as action to add the connector's actions instead of a table.
  • --use-sso -- use a single sign-on connection (CLI 1.3.0+). Ask the user first; see connector-reference.md.
  • --non-interactive -- the CLI never prompts; it fails with a message that says what's missing instead. Pass it on every add on CLI 1.3.0+: if the CLI runs in a real terminal, it would otherwise show prompts the agent can't answer, such as the connection picker when -c is omitted.

Step 4: Inspect & Configure

After adding, inspect the generated files. Generated service files can be very large -- use Grep to find specific methods instead of reading the entire file:

Grep pattern="async \w+" path="src/generated/services/<Connector>Service.ts"

Files to check:

  • src/generated/services/<Connector>Service.ts -- available operations and their parameters
  • src/generated/models/<Connector>Model.ts -- TypeScript interfaces (if generated)
  • .power/schemas/<connector>/ -- connector schema and configuration

For each method the user needs:

  1. Grep for the method name to find its signature
  2. Read just that method's section (use offset and limit parameters on Read)
  3. Identify required vs optional parameters and response type

Help the user write code using the generated service methods.

Step 5: Build

npm run build

Fix TypeScript errors before proceeding. Do NOT deploy yet.

Step 6: Update Memory Bank

Update memory-bank.md with: connector added, configured operations, build status.

來自 microsoft 的更多技能

oss-growth
microsoft
開源增長駭客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。适用于使用AzureAIAgentsProvider创建持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上設定AI Runway——從裸叢集到執行模型。涵蓋叢集驗證、控制器安裝、GPU評估、供應商設定及首次部署。時機:「設定AI Runway」、「上線AKS叢集」、「安裝AI Runway」、「airunway設定」、「部署模型至AKS」、「在AKS上進行GPU推論」、「在AKS上設定KAITO」、「在AKS上執行LLM」、「在AKS上使用vLLM」、「在AKS上設定模型服務」、「AI Runway控制器」。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights檢測Web應用程式的指南。提供遙測模式、SDK設定與組態參考。適用時機:如何檢測應用程式、App Insights SDK、遙測模式、什麼是App Insights、Application Insights指南、檢測範例、APM最佳實踐。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)為瀏覽器/Web應用程式進行檢測。適用於真實使用者監控(RUM)——頁面檢視、點擊、AJAX/fetch依賴、例外、自訂事件,以及與後端OpenTelemetry追蹤關聯的瀏覽器端GenAI代理追蹤。涵蓋SDK載入器指令碼與npm設定、框架擴充(React、React Native、Angular)、點擊分析、遙測初始化器,以及從瀏覽器發出的代理/工具/模型span的OTel GenAI語意慣例。
devops
azure-ai-anomalydetector-java
microsoft
使用適用於 Java 的 Azure AI 異常偵測器 SDK 建置異常偵測應用程式。在實作單變量/多變量異常偵測、時間序列分析或 AI 驅動監控時使用。
development
azure-ai-language-conversations-py
microsoft
使用 azure-ai-language-conversations Python SDK 實作對話語言理解(CLU)。當使用 ConversationAnalysisClient 分析對話意圖與實體、建置 NLP 功能,或將語言理解整合至應用程式時使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用於機器學習工作區、作業、模型、資料集、計算資源與管線。 觸發詞:「azure-ai-ml」、「MLClient」、「workspace」、「model registry」、「training jobs」、「datasets」。
development