add-excel

Menambahkan konektor Excel Online (Bisnis) ke aplikasi kode Power Apps. Gunakan saat membaca atau menulis data buku kerja Excel dari OneDrive atau SharePoint.

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

πŸ“‹ Shared Instructions: shared-instructions.md - Cross-cutting concerns.

Add Excel Online

Workflow

  1. Check Memory Bank β†’ 2. Gather β†’ 3. Add Connector β†’ 4. Configure β†’ 5. Build β†’ 6. Update Memory Bank

Step 1: Check Memory Bank

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

Step 2: Gather

Ask the user:

  1. Where is the workbook? (OneDrive or SharePoint)
  2. Workbook file name
  3. Which table(s) in the workbook to access

Step 3: Add Connector

First, find the connection ID (see connector-reference.md):

Run the /list-connections skill. Find the Excel Online (Business) connection in the output. If none exists, direct the user to create one using the environment-specific Connections URL β€” construct it from the active environment ID in context (from power.config.json or a prior step): https://make.powerapps.com/environments/<environment-id>/connections β†’ + New connection β†’ search for the connector β†’ Create.

Excel Online is a tabular datasource -- requires -c (connection ID), -d (drive), and --table (table name in workbook):

# OneDrive workbook
pa app add data-source --connector excelonlinebusiness -c <connection-id> -d 'me' --table 'Table1'

# SharePoint workbook -- dataset is the document library path
pa app add data-source --connector excelonlinebusiness -c <connection-id> -d 'sites/your-site' --table 'Table1'

Run for each table the user needs.

Step 4: Configure

AddRowIntoTable -- adds a row to an Excel table:

// OneDrive workbook
await ExcelOnlineBusinessService.AddRowIntoTable({
  source: "me",
  drive: "me",
  file: "MyWorkbook.xlsx",
  table: "Table1",
  body: { column1: "value1", column2: "value2" } // Flat object, NO "items" wrapper
});

// SharePoint workbook
await ExcelOnlineBusinessService.AddRowIntoTable({
  source: "sites/your-site",
  drive: "drive-id",
  file: "SharedWorkbook.xlsx",
  table: "Table1",
  body: { column1: "value1", column2: "value2" }
});

Key points:

  • source: "me" and drive: "me" for OneDrive personal files
  • For SharePoint, use the site path and drive ID
  • The body is a flat key-value object matching column headers -- do NOT wrap in { items: ... }

Use Grep to find specific methods in src/generated/services/ExcelOnlineBusinessService.ts (generated files can be very large -- see connector-reference.md).

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, workbook/table configured, build status.

Lebih banyak skill dari microsoft

oss-growth
microsoft
Persona peretas pertumbuhan OSS
agent-framework-azure-ai-py
microsoft
Bangun agen Azure AI Foundry menggunakan Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Gunakan saat membuat agen persisten dengan AzureAIAgentsProvider, menggunakan alat yang dihosting (code interpreter, file search, web search), mengintegrasikan server MCP, mengelola utas percakapan, atau mengimplementasikan respons streaming. Mencakup alat fungsi, keluaran terstruktur, dan agen multi-alat.
development
airunway-aks-setup
microsoft
Siapkan AI Runway di AKS β€” dari klaster kosong hingga model berjalan. Mencakup verifikasi klaster, instalasi controller, penilaian GPU, penyiapan penyedia, dan deployment pertama. KAPAN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Panduan untuk instrumentasi aplikasi web dengan Azure Application Insights. Menyediakan pola telemetri, pengaturan SDK, dan referensi konfigurasi. KAPAN: cara menginstrumentasi aplikasi, SDK App Insights, pola telemetri, apa itu App Insights, panduan Application Insights, contoh instrumentasi, praktik terbaik APM.
devops
applicationinsights-web-ts
microsoft
Instrumentasi aplikasi browser/web dengan Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Digunakan untuk Real User Monitoring (RUM) β€” tampilan halaman, klik, dependensi AJAX/fetch, pengecualian, peristiwa kustom, dan jejak agen GenAI sisi browser yang dikorelasikan dengan jejak OpenTelemetry backend. Mencakup pengaturan SDK Loader Script dan npm, ekstensi kerangka kerja (React, React Native, Angular), Click Analytics, inisialisasi telemetri, dan konvensi semantik OTel GenAI untuk span agen/alat/model yang dipancarkan dari browser.
devops
azure-ai-anomalydetector-java
microsoft
Bangun aplikasi deteksi anomali dengan Azure AI Anomaly Detector SDK untuk Java. Gunakan saat mengimplementasikan deteksi anomali univariat/multivariat, analisis deret waktu, atau pemantauan bertenaga AI.
development
azure-ai-language-conversations-py
microsoft
Implementasikan Pemahaman Bahasa Percakapan (CLU) menggunakan SDK Python azure-ai-language-conversations. Gunakan saat bekerja dengan ConversationAnalysisClient untuk menganalisis maksud dan entitas percakapan, membangun fitur NLP, atau mengintegrasikan pemahaman bahasa ke dalam aplikasi.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 untuk Python. Gunakan untuk ruang kerja ML, pekerjaan, model, kumpulan data, komputasi, dan pipeline. Pemicu: "azure-ai-ml", "MLClient", "ruang kerja", "registri model", "pekerjaan pelatihan", "kumpulan data".
development