EXPERIMENTAL. Create and test a classify-and-route Azure AI Content Understanding pipeline for packets that contain multiple document types (e.g. invoice + bank statement + loan application in one PDF). Walks per-type schema authoring → outer classifier…
EXPERIMENTAL. Iteratively author and test a custom Azure AI Content Understanding analyzer for a folder of **document** files (PDFs, page images) of a single type. Walks layout extraction → schema authoring → validation → batch test → agent review → refine…
Run a specific sample for the Azure AI Content Understanding SDK. Use when users want to run a particular sample like sample_analyze_url.py or sample_analyze_invoice.py.
Guide SDK users through setting up their Python environment for Azure AI Content Understanding. Use this skill when users need help installing the SDK, configuring Azure resources, deploying required models, setting environment variables, or running samples.
Create an API review PR for an Azure SDK package using API Review Hub. **UTILITY SKILL**. USE FOR: "create API review", "open API review", "compare package versions", "APIView PR". DO NOT USE FOR: fixing APIView comments, SDK code generation, pipeline…
Emit the azure-ai-projects Python SDK from TypeSpec, apply post-emitter fixes, and create a Pull Request. WHEN: "emit SDK from TypeSpec", "generate azure-ai-projects SDK", "update azure-ai-projects from TypeSpec", "emit from TypeSpec", "regenerate…
Update CHANGELOG.md by comparing public APIs between the current branch and the latest released version on PyPI. WHEN: "update changelog", "generate changelog", "add changelog entry", "what changed in this version". DO NOT USE FOR: other Azure SDK packages.…
Author and validate Vally evals for Agent Skills under .github/skills. WHEN: "write a skill eval", "add trigger eval", "test skill routing", "add anti-trigger tests", "create skill capability eval", "harden skill graders". DO NOT USE FOR: single MCP tool…
Author and validate multi-tool, multi-turn, mock, and live Vally scenarios under evals/workflows. WHEN: "write a workflow eval", "add end-to-end eval", "test tool sequence", "create multi-turn eval", "add mock workflow scenario", "add live eval". DO NOT USE…
Automate updating the emitter package dependencies in eng/emitter-package.json for the Azure SDK for Python repository, then open a PR. Use this skill when the user wants to update @azure-tools/typespec-python (or any other dependency in emitter-package.json)…
Domain knowledge for Azure AI Content Understanding. Use this skill to answer questions about Content Understanding concepts, analyzers, field schemas, API operations, and SDK usage. Always consult official documentation before answering.
Create a GitHub PR for API review by comparing a baseline API surface against a target tag or branch. Use this when the user wants to create an API review PR, compare API changes between versions, or review API surface differences for a package.
Interactive wizard that walks service teams through creating a package-specific skill for their Azure SDK package. Scans the package, detects customization patterns, scaffolds a SKILL.md with references, and validates with vally lint. The skill is placed…
**UTILITY SKILL** — Must be consulted before making any changes to packages under sdk/. Discovers and loads package-specific domain knowledge that prevents common mistakes. WHEN: "add feature to package", "fix bug in package", "modify package code",…
Automatically fix mypy type checking issues in azure-ai-ml package following Azure SDK Python patterns. Expects GitHub issue URL and optional virtual env path in the request. Format "fix mypy issue <issue-url> [using venv <path>]"
Automate promoting next-* tool versions (pylint, mypy, pyright) to become the current pinned versions in azure-sdk-for-python. Use this skill when the weekly next-* CI checks are passing and you want to update the pinned tool versions for all packages.
Reviews code changes in azure-ai-ml package for quality, Azure SDK compliance, and best practices. Use when reviewing code, checking pull requests, or when user asks to review changes or check code quality in azure-ai-ml.
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