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SkillsMP ha recopilado 14 skills de DataDog/dd-trace-py. Abre una skill para revisar su origen y sus detalles.
Mostrando 14 de 14 skills recopiladas.
dd-trace-py integration development guide. Use when creating, modifying, or debugging contrib integrations in the Python tracer. Covers the patch module system, context_with_data, context_with_event (new), registration, testing through the repository test…
Idioma del texto original: inglés
Diagnose and fix slow base venv build times caused by unnecessary recompilation of native extensions (CMake, Cython, Rust) across test environment builds. Use when CI base venv builds are slow, when ext_cache isn't saving time, or when investigating warm…
Idioma del texto original: inglés
dd-trace-py LLMObs integration development guide. Use when creating, modifying, or debugging LLMObs integrations for LLM/AI libraries in the Python tracer. Covers BaseLLMIntegration, stream handling, message extraction, token counting, tool call parsing, and…
Idioma del texto original: inglés
Decide whether a release note is needed, and if so create or update a Reno fragment, following dd-trace-py's conventions (docs/releasenotes.rst).
Idioma del texto original: inglés
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites,…
Idioma del texto original: inglés
Run targeted linting, formatting, and code quality checks on modified files. Use this to validate code style, type safety, security, and other quality metrics before committing. Supports running all checks or targeting specific checks on specific files for…
Idioma del texto original: inglés
Run the dependency direction detector against ddtrace and propose architectural fixes for any violations found. Use this when adding or refactoring modules under ddtrace/internal, ddtrace/contrib, or any product package, or when the detect_layering_violations…
Idioma del texto original: inglés
Run circular import detection against ddtrace and propose architectural fixes for any cycles found. Use this when adding or refactoring modules, or when the detect_circular_imports CI job reports new cycles on a PR.
Idioma del texto original: inglés
Register a new environment variable / configuration option in dd-trace-py. Use whenever you add (or rename) a DD_*/_DD_*/OTEL_*/DATADOG_* environment variable so it is documented, validated, and tracked for cross-language feature parity. Covers…
Idioma del texto original: inglés
Native crash log analysis for dd-trace-py
Idioma del texto original: inglés
Run performance benchmarks to measure the impact of code changes. Discovers relevant benchmark scenarios based on changed files, executes them comparing a baseline version against local changes, and summarizes performance results. Use this when touching…
Idioma del texto original: inglés
Review CI results for the current branch, commit, or PR using the Datadog MCP. Use this when CI is failing, to understand what's blocking a PR, or to get actionable fix instructions for failed jobs and tests.
Idioma del texto original: inglés
Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.
Idioma del texto original: inglés
Find all CPython internal headers and structs used in the codebase, particularly for profiling functionality. Use this when adding support for a new Python version to identify what CPython internals we depend on.
Idioma del texto original: inglés