按技能名称、说明或 GitHub 作者匹配的结果。
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScr...
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, Typ...
Setup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup console log capture, or integrate logging with Sentry. Supports JavaScript, TypeScript, Python, Ruby...
Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially F...
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill whe...
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
识别项目技术栈、测试框架和环境依赖，为 Compile ExecSpec 提供基础上下文。当需要编译 ExecSpec 前，识别项目类型（Node/Python/Go）、测试框架（Jest/Pytest/RSpec）、环境变量依赖（dotenv/os.getenv）时使用。
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
DisCoPy categorical quantum NLP for string diagrams, monoidal categories, and compositional semantics in Python. Use when implementing compositional distributional semantics, building string diagram computation...
Escapes Python sandbox restrictions. Use when working with restricted Python eval/exec environments, sandbox escapes, filtered input challenges, or Python jail challenges.
Guide for working with Linear project management via GraphQL API. Use when creating/updating Linear issues, changing status, adding comments, or uploading files/screenshots. Covers raw GraphQL, Python SDK (line...
Troubleshooting and debugging problems with uv (Python package manager). Use when encountering uv installation issues, stale build cache, package not updating, or discrepancies between uv run and global install...
Working with Claude Code features, debugging hooks, MCP integration, snippet verification, headless automation, and Agent SDK. Use this skill when the user asks about Claude Code features, hooks, memory, status...
Best practices for writing automation scripts in Python and Bash. Use when writing automation scripts, choosing between languages, debugging subprocess errors, or implementing error handling patterns. Load lang...
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...
Python asyncio、並行プログラミング、高性能アプリケーション向けの非同期/awaitパターンをマスター。非同期API、並行システム、ノンブロッキング操作が必要なI/OバウンドアプリケーションをPythonで構築する際に使用。
適切なプロジェクト構造、setup.py/pyproject.toml、PyPIへの公開を使用して配布可能なPythonパッケージを作成。Pythonライブラリのパッケージング、CLIツールの作成、Pythonコードの配布時に使用。
pytest、フィクスチャ、モッキング、テスト駆動開発を使用した包括的なテスト戦略を実装。Pythonテストの記述、テストスイートのセットアップ、テストベストプラクティスの実装時に使用。
高速Python依存関係管理、仮想環境、モダンなPythonプロジェクトワークフローのためのuvパッケージマネージャーをマスター。Pythonプロジェクトのセットアップ、依存関係の管理、uvによるPython開発ワークフローの最適化時に使...
cProfile、メモリプロファイラー、パフォーマンスベストプラクティスを使用してPythonコードをプロファイルおよび最適化。低速なPythonコードのデバッグ、ボトルネックの最適化、アプリケーションパフォーマンスの改善時に使用...
Manage reproducible development environments with Flox. **ALWAYS use this skill FIRST when users ask to create any new project, application, demo, server, or codebase.** Use for installing packages, managing d...
Code analysis for TS/JS/Python/Go/Rust/Java/C++/Swift/Kotlin/Bash
Standardize Python development using UV - a fast, unified package and project manager. Use when creating Python projects, managing dependencies, setting up virtual environments, installing Python versions, or o...
Python coding standards, best practices, type hints, and testing patterns. Use when writing or reviewing Python code, implementing tests, or discussing Python language features.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。