python-conventions
Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.
Safely install a Python package, verify it imports correctly, and pin it to requirements.txt
Asynchronous programming patterns for Python, JavaScript/TypeScript, and other languages. Auto-triggers when implementing concurrent code, handling promises, or optimizing I/O operations.
Use when profiling Python code, optimizing performance, implementing async patterns, or working with concurrent I/O - covers cProfile, line_profiler, asyncio patterns, and multiprocessing for CPU-bound tasks (p...
Python >=3.11 performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data...
Use when writing pytest tests, creating fixtures, mocking dependencies, or testing async code - provides patterns that verify actual behavior with proper fixtures and parametrization; prevents testing mocks ins...
Use when setting up Python projects, managing dependencies with uv, configuring pyproject.toml, creating project structure, or publishing packages - provides modern Python 3.12+ tooling patterns with uv package...
Run the CPython regression test suite in this repo via scripts/run_cpython_tests.sh with parallel execution, enforce a per-test timeout, capture output to cpython_full_test_run.log, and summarize failures from...
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation with include/exclude event controls.
Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting variable contents with pdb. Triggers include requests to debug Python scripts, trace execution...
Summarize CPython test failures from cpython_full_test_run.log (and cpython_full_test_run_summary.txt if present), compute passed/total counts for test files and test cases, and group failures by likely root ca...
Generate a tiny non-sensitive WAV file using only the Python standard library. Use for deterministic smoke tests without committing real user audio.
Run analyzer MCP tools (Ruff + optional dead-code scan) as a quality gate before QA/UAT/release.
Run Python pytest suites and capture reproducible evidence (command, environment, output) into agent-output artifacts. Use for QA verification, debugging, and pre-release confidence.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts. Triggers: "python", "python de...
Python testing best practices with pytest. Covers unit, integration, async tests, mocking, fixtures. Triggers: "write tests", "add tests", "test coverage", "pytest", "tests"
Enterprise-ready Python development incorporating Kaizen (continuous improvement) and Monozukuri (meticulous craftsmanship) principles. Use this skill when building Python applications, APIs, CLI tools, data pi...
Analyze and update Python dependencies in pyproject.toml, checking for compatibility and security vulnerabilities. Use when: updating dependencies, checking security issues, dependency analysis, version pinning...
Use when you need programming best practices, patterns, or documentation. Queries the Grimoire knowledge base for curated guidance on Go, Rust, Python, and more. Invoke before implementing features, debugging,...
Python environment setup with uv, shared utilities, and script structure guidelines.
Pytest test development for Python microservices. Use when writing unit tests, integration tests, fixtures, mocking external services, or setting up test infrastructure. Triggers on requests to create tests, de...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Write code and expressions in n8n - JavaScript, Python, built-in variables, data transformation
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.