अपने एजेंट के लिए सही क्षमता खोजें।
Writes TypeSpec http-client-python generator mock API tests (azure/unbranded/shared) from a Spector case. Use when given a Spector case link or a PR link that modifies Spector cases under http-specs/azure-http-specs.
Build and test the @typespec/http-client-python emitter. Use this skill whenever the user wants to test their local changes to the emitter, run the generator test suite, check if their http-client-python changes are passing, or validate a fix. Triggers on phrases like "test the emitter", "run tests", "check if my changes pass", "run test:generator", "run CI", or any mention of testing/validating changes in the emitter package.
Regenerate the local emitter and diff the generated code against the upstream baseline checked into autorest.python. Use this skill when the user wants to see how their emitter changes affect generated code compared to what's currently in production, says things like "diff upstream", "compare to baseline", "what changed vs production", "show me the diff", "how does this affect generated code", or wants to validate their changes produce the expected output differences.
Enforces Google-style Python docstrings for Python code
Reviews anomalib Python style, typing, imports, and public API conventions
Automate bumping typespec-python version in emitter-package.json for the Azure SDK for Python repository. Use this skill when the user wants to update @azure-tools/typespec-python to the latest version, create a PR for the version bump, or manage emitter-package.json updates.
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.
Automatically fix pylint issues in azure-ai-ml package following Azure SDK Python guidelines and existing code patterns. Expects GitHub issue URL and optional virtual env path in the request. Format "fix pylint issue <issue-url> [using venv <path>]"
Generate an API markdown file and token file using ApiView. Use this when the user wants to generate an API markdown file and review API changes.
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.
Quick review checklist for python and scala code changes before callings it done.
Enforces dlt docstring conventions. Use when writing or modifying docstrings, classes, or function signatures in Python files.
Enforces dlt import conventions and ordering. Use when writing or modifying Python imports in dlt/ or tests/.
Analyze and optimize Python code performance in critical paths
Run Mooncake CI test suite locally — maps GitHub Actions CI steps to local commands. Use this skill whenever the user wants to run tests locally, reproduce a CI failure, check if their changes break tests, or run any subset of the CI test suite (C++ unit tests via ctest, Python integration tests, code format checks, or the full test pipeline). Trigger on phrases like "run tests", "run CI locally", "reproduce CI failure", "check my changes", "test before PR", "run ctest", "run python tests", "run all tests".
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.
Extract text from DOCX files using shell commands when python-docx is unavailable
Extract text from DOCX files using shell or Python zipfile, with environment-aware fallback
