按技能名称、说明或 GitHub 作者匹配的结果。
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers...
Guide for using direnv - a shell extension for loading directory-specific environment variables. Use when setting up project environments, creating .envrc files, configuring per-project environment variables, i...
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter...
Pre-commit hooks framework for multi-language code quality automation. USE WHEN setting up pre-commit OR configuring git hooks OR adding linting OR code formatting OR security scanning OR Terraform validation O...
Modern Python development with uv (10-100x faster package manager) and ruff (extremely fast linter/formatter). Use when managing Python projects, dependencies, virtual environments, installing packages, linting...
Guide for building MCP (Model Context Protocol) servers that integrate external APIs/services with LLMs. Covers Python (FastMCP) and TypeScript (MCP SDK) implementations.
Analyze Python imports and dependencies. Use to understand project structure, find unused imports, or generate requirements.txt files.
Generate flowcharts from YAML/JSON definitions or Python DSL. Supports standard flowchart shapes, swimlanes, and PNG/SVG/PDF export.
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
Automatically detect and fix Python deprecation warnings in codebases, including datetime.utcnow(), and other common deprecated patterns. Supports extensible pattern matching for future deprecations.
Generate comprehensive GitHub ecosystem configuration including CI/CD workflows, issue templates, PR templates, CODEOWNERS, dependabot, and Copilot instructions. Language-agnostic with Python, Go, and TypeScrip...
Generate production-ready Python project skeletons with Astral UV package manager, Hatchling build backend with dynamic versioning, and modern tooling (ruff, mypy, pytest, bandit). Use when creating new Python...
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async prog...
Python development best practices and advanced patterns
This skill should be used when building applications with the Claude Agent SDK (Python). Use for creating orchestrators with subagents, configuring agents programmatically, setting up hooks and permissions, and...
Python single-file script development using uv and PEP 723 inline metadata. Prevents invalid patterns like [tool.uv.metadata]. Use when creating standalone Python utilities, converting scripts to uv format, man...
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 code quality tooling with ruff and pyright. Use when setting up linting, formatting, type checking, configuring ruff or pyright, or establishing code quality standards.
Manage the Matrix/Virgo-Core Proxmox VE cluster (nodes Foxtrot, Golf, Hotel - MINISFORUM MS-A2 with AMD Ryzen 9 9955HX). Covers VM provisioning, VLAN networking, CEPH storage, and automation via Python (proxmox...
Expert code review for Python focused on correctness, maintainability, error handling, performance, and testability. Use after writing or modifying Python code, or when reviewing refactors and new features.
Implement a Python connector that conforms to the LakeflowConnect interface for data ingestion.
Usa esta skill para el desarrollo del backend en Python de ObsidianRAG, incluyendo FastAPI, estructura del proyecto, dependencias y logging.
Expert kinetic typography and animated caption system for viral video. PROACTIVELY activate for: (1) Kinetic captions with word-grow highlighting, (2) Karaoke-style progressive fill with scale animation, (3) Wo...
Complete fal.ai API reference system. PROACTIVELY activate for: (1) @fal-ai/client JavaScript setup, (2) fal_client Python setup, (3) fal.subscribe/run/stream methods, (4) Queue management (submit/status/result...
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。