Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Lookup Microsoft API methods and classes, verify SDK usage, and find official code samples for Azure SDKs, .NET, and Microsoft APIs.
Lookup Microsoft API methods and classes, verify SDK usage, and find official code samples for Azure SDKs, .NET, and Microsoft APIs.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
NeedToolExampleAPI method/class lookupmicrosoft_docs_search"BlobClient UploadAsync Azure.Storage.Blobs"Working code samplemicrosoft_code_sample_searchquery: "upload blob managed identity", language: "python"Full API referencemicrosoft_docs_fetchFetch URL from microsoft_docs_search (for overloads, full signatures)
Use microsoft_code_sample_search to get official, working examples: microsoft_code_sample_search(query: "upload file to blob storage", language: "csharp") microsoft_code_sample_search(query: "authenticate with managed identity", language: "python") microsoft_code_sample_search(query: "send message service bus", language: "javascript") When to use: Before writing code—find a working pattern to follow After errors—compare your code against a known-good sample Unsure of initialization/setup—samples show complete context
# Verify method exists (include namespace for precision) "BlobClient UploadAsync Azure.Storage.Blobs" "GraphServiceClient Users Microsoft.Graph" # Find class/interface "DefaultAzureCredential class Azure.Identity" # Find correct package "Azure Blob Storage NuGet package" "azure-storage-blob pip package" Fetch full page when method has multiple overloads or you need complete parameter details.
Use microsoft_code_sample_search to find working code samples and compare with your implementation. For specific errors, use microsoft_docs_search and microsoft_docs_fetch: Error TypeQueryMethod not found"[ClassName] methods [Namespace]"Type not found"[TypeName] NuGet package namespace"Wrong signature"[ClassName] [MethodName] overloads" → fetch full pageDeprecated warning"[OldType] migration v12"Auth failure"DefaultAzureCredential troubleshooting"403 Forbidden"[ServiceName] RBAC permissions"
Always verify when: Method name seems "too convenient" (UploadFile vs actual Upload) Mixing SDK versions (v11 CloudBlobClient vs v12 BlobServiceClient) Package name doesn't follow conventions (Azure.* for .NET, azure-* for Python) Using an API for the first time
Before generating code using Microsoft SDKs, verify it's correct: Confirm method or package exists — microsoft_docs_search(query: "[ClassName] [MethodName] [Namespace]") Fetch full details (for overloads/complex params) — microsoft_docs_fetch(url: "...") Find working sample — microsoft_code_sample_search(query: "[task]", language: "[lang]") For simple lookups, step 1 alone may suffice. For complex API usage, complete all three steps.
If the Learn MCP server is not available, use the mslearn CLI from the command line instead: # Run directly (no install needed) npx @microsoft/learn-cli search "BlobClient UploadAsync Azure.Storage.Blobs" # Or install globally, then run npm install -g @microsoft/learn-cli mslearn search "BlobClient UploadAsync Azure.Storage.Blobs" MCP ToolCLI Commandmicrosoft_docs_search(query: "...")mslearn search "..."microsoft_code_sample_search(query: "...", language: "...")mslearn code-search "..." --language ...microsoft_docs_fetch(url: "...")mslearn fetch "..." Pass --json to search or code-search to get raw JSON output for further processing.
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