implement-type-annotations
Add comprehensive type hints to Python/TypeScript code to improve IDE support, catch errors early, and enable better AI code understanding
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Add comprehensive type hints to Python/TypeScript code to improve IDE support, catch errors early, and enable better AI code understanding
Perform structured, actionable code reviews for Python code with clear findings and suggestions.
python's package managing
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
L1-L4 語法和結構驗證 - 檢查 Python 語法、AST 結構、縮進格式、命名規範。 BlueMouse 17-Layer Validation Group 1。 Triggers: "syntax", "格式檢查", "naming", "PEP8"
BlueMouse 17-Layer Code Validation System - Complete Python code quality validation covering syntax, structure, function signatures, dependencies, types, logic, security, and performance. Triggers: "validate",...
Bump dependency "@typespec/http-client-python" and release new versions for Azure/autorest.python repo. Use when user wants to bump, update, or upgrade the @typespec/http-client-python dependency, create a rele...
Database and HTTP connection pooling patterns for Python async applications. Use when configuring asyncpg pools, aiohttp sessions, or optimizing connection lifecycle in high-concurrency services.
gRPC with Python using grpcio and protobuf for high-performance microservice communication. Use when implementing service-to-service APIs, streaming data, or building polyglot microservices requiring strong typ...
Python asyncio patterns with TaskGroup, structured concurrency, and modern 3.11+ features. Use when implementing concurrent operations, async context managers, or high-performance async services.
FastAPI 2026 advanced patterns including lifespan, dependencies, middleware, and Pydantic settings. Use when configuring FastAPI lifespan events, creating dependency injection, building Starlette middleware, or...
Async task processing with Celery, ARQ, and Redis for Python backends. Use when implementing background tasks, job queues, workers, scheduled jobs, or periodic task processing.
Strawberry GraphQL library for Python with FastAPI integration, type-safe resolvers, DataLoader patterns, and subscriptions. Use when building GraphQL APIs with Python, implementing real-time features, or creat...
VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.
Validates development tool installations across Python, Node.js, Java, Go, Rust, C/C++, Git, and system utilities. Use when verifying environments or troubleshooting dependencies.
Use when discussing or working with DeepEval (the python AI evaluation framework)
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this...
Create and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Use when working with brand styling, colors, fonts, logos, or corporate identity in Shiny or Quarto projects. Cover...
Create professional package release blog posts following Tidyverse or Shiny blog conventions. Use when the user needs to: (1) Write a release announcement blog post for an R or Python package for tidyverse.org...
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, anal...
Configures Husky, lint-staged, commitlint, and Python pre-commit
Audits project dependencies for vulnerabilities. Multi-ecosystem support (npm, .NET, Python, Go). CVSS-based severity classification.
Upgrades Python pip/poetry/pipenv dependencies with breaking change handling
Configures structured logging (Serilog/.NET, structlog/Python)
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.