query-writer
Use this skill when writing or updating SQL queries (query.sql) or Python ETL scripts (query.py) following Mozilla BigQuery ETL conventions. ALWAYS checks for and updates existing tests when modifying queries....
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Use this skill when writing or updating SQL queries (query.sql) or Python ETL scripts (query.py) following Mozilla BigQuery ETL conventions. ALWAYS checks for and updates existing tests when modifying queries....
Slack の未読メッセージを確認する。「Slack未読確認」「未読メッセージ」「未読ある?」「Slackの未読」「未読を見せて」「未読チェック」「未読メール確認」などで起動。Pythonスクリプト `slack_message.py unread` を使用...
Slack チャンネルを既読にする。「既読にして」「既読化」「チャンネル既読」「未読を消す」「既読マーク」「全部読んだことにして」「既読にしたい」などで起動。Pythonスクリプト `slack_message.py mark-read` を使用。
Slack で自分へのメンションを確認する。「メンション確認」「Slackメンション」「自分へのメンション」「@mention を見せて」などで起動。Pythonスクリプト `slack_message.py mentions` を使用。
Slack チャンネルを名前で検索する。「チャンネル検索」「チャンネルを探して」「チャンネル名で検索」「〇〇というチャンネル」「チャンネルを見つけたい」「チャンネルある?」「似た名前のチャンネル」などで起動。Pythonス...
Slack メッセージを要約用データとして取得する。「Slack要約」「メッセージ要約」「要約して」「まとめて」「会話の要約」「チャンネル要約」「最近の話を要約」などで起動。Pythonスクリプト `slack_message.py summarize`...
スレッドの参加者一覧を取得する。「スレッド参加者」「誰がいる?」「このスレッドの参加者」「スレッドメンバー」「スレッドのユーザー」「誰が返信してる」「参加者を見せて」などで起動。Pythonスクリプト `slack_message....
Python 3.11+ development with type hints, async patterns, FastAPI, and pytest. Use for backend services, CLI tools, data processing, and API development.
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, m...
Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM applications with MCP s...
Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating n...
Create AST-based checks for evaluating generated Python code quality
Writing a class with encapsulated logic that interfaces with an external system. Logging, APIs, etc.
Review Python code ensuring strict type safety with Python 3.12+ conventions. Use when reviewing Python code, writing new Python code, or refactoring existing Python code.
Review Python code for adherence to SOLID principles (SRP, OCP, LSP, ISP, DIP). Use when reviewing Python code for maintainability, testability, and design quality.
Generates professional diagrams for educational flashcards using Python (matplotlib) or Mermaid syntax. Automatically selects the best visualization tool based on diagram type. Use when creating visual aids for...
Debug memory leaks, profile memory usage, optimize allocations. Use when heap grows unexpectedly, OOM errors occur, or profiling shows memory bottleneck. Covers C++ (Valgrind, ASAN, RAII), Python (tracemalloc,...
Control interactive CLI tools that require a real terminal via tmux send-keys. Use for git rebase -i, git add -p, vim, nano, Python/Node REPLs, or any command that hangs waiting for terminal input.
Builds enterprise Django applications with DRF, ORM optimization, async views, and Celery tasks. Use when creating Python web apps, REST APIs, or full-stack Django projects.
Builds high-performance FastAPI applications with async/await, Pydantic v2, dependency injection, and SQLAlchemy. Use when creating Python REST APIs, async backends, or microservices.
Python development with type hints, async patterns, testing, and modern best practices
Claude writes comprehensive Python tests using pytest. Use when writing unit tests, creating fixtures, parametrizing tests, mocking dependencies, testing async code, or setting up CI test pipelines.
Remote control tmux sessions for interactive command-line work. Send keystrokes and scrape pane output from Python REPLs, debuggers, and other interactive terminal applications. Use when working with interactiv...
Expert in Python development with focus on best practices, testing, and modern Python features
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.