Skills matching the name, description or GitHub author.
Create new visualizations for the IWAC Dashboard. Use this skill when: - Adding a new chart, graph, map, or data visualization - Creating Python data generation scripts for new visualizations - Building reusabl...
Execute Python code in an isolated environment for calculations, file generation, and data processing
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
Use when Python's type system including type hints, mypy, Protocol, TypedDict, and Generics. Use when working with Python type annotations.
Use when maintaining a fork of a Python package without GitHub access, importing upstream releases from PyPI tarballs, or merging upstream updates into a fork using vendor branch strategy
OpenFGA authorization modeling best practices and guidelines. This skill should be used when authoring, reviewing, or refactoring OpenFGA authorization models. Triggers on tasks involving OpenFGA models, relati...
Ensure Python classes include appropriate, developer-friendly dunder methods—especially __repr__ and __str__. Use when: (1) Writing or modifying Python class definitions in .py files, (2) Refactoring existing P...
Use when generating PDFs from markdown with Pandoc - covers differences from Python-Markdown, blank line rules, fix scripts for labels/anchors/metadata, and visual testing workflow
Use when deploying to Fly.io - covers single volume limitation, monorepo deployment, Dockerfile patterns for Next.js/Python, and common troubleshooting
Use when deploying MkDocs documentation to GitHub Pages with GitHub Actions - covers Python-Markdown gotchas (indentation, footnotes, grid tables), workflow configuration, and systematic markdown fixing
Python SDKとFastMCPフレームワークを使用したModel Context Protocol (MCP) サーバー構築のガイド。PythonベースのMCPサーバーの作成、デバッグ、最適化を行う際に使用してください。
Python SDKとFastMCPフレームワークを使用したMCPサーバー構築ガイド。PythonベースのMCPサーバーの作成、ツール・リソース・プロンプト実装、Pydanticモデル活用、STDIOおよびHTTPトランスポート設定を行う際に使用。
Set up a modern Python project with uv, pyproject.toml, and ruff. Use when creating a new Python project, package, or CLI tool.
Enforce consistent Python typing (type hints + return types), concise Google-style docstrings, PEP 8/Black formatting, and unit tests when creating or editing Python code. Use when working on .py files, Python...
FastAPI + Pydantic v2 backend workflow: implement/modify API endpoints with thin handlers + service layer, add pytest tests, manage idempotent Alembic migrations, and implement streaming ETL/parsers with invali...
Comprehensive code documentation standards and guidelines for maintaining up-to-date documentation across Python, HTML, CSS, and JavaScript codebases. Use when creating or modifying code to ensure proper docume...
Automatically manage Python virtual environments (.venv) in terminal commands. Always activate .venv before running Python/pip commands. Use when executing Python scripts, installing packages, or running develo...
how to use global instance **PROJECTPATHS** in this project
AI生成コードの冗長性・複雑性を検出し、リファクタリングを行うスキル。「コードを脱臭して」「AIコードをリファクタリング」「冗長なコードを簡潔にして」「このコードを最適化」「複雑度を下げて」などのリクエストで起動す...
marimo（リアクティブPythonノートブック）の開発支援スキル。marimoノートブックの作成、UI要素の実装、SQLクエリ、Webアプリ化を支援する。「marimoでノートブックを作成」「marimoでダッシュボードを作る」「marimoでインタ...
M3社が開発したPythonの機械学習パイプラインツールgokartに関する深い知識とベストプラクティスを提供する。Use when reviewing gokart task designs, implementing type-safe ML pipelines, writing gokart tests, or workin...
This skill should be used when the user asks to "start a new project", "init project", "create a project", "scaffold project", "install node", "add python", "set up a project", "install dependencies", or when w...
Expert in building MCP servers using the Official Python MCP SDK. Use this when defining tools, resources, and prompts that allow AI agents to manage application state.
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models fo...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.