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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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guides creation of 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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). Covers tool design, authentication, Docker deployment, and evaluation creation. NOT when consuming existing MCP servers (use the server directly).
Expert Python developer specializing in modern Python 3.11+ with deep expertise in type safety, async programming, testing, and production-grade code. Invoke for Pythonic patterns, type hints, pytest, async/await, dataclasses.
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
Writes, reviews, and refactors Python code following modern best practices. Specialises in Python 3.12+, uv for project management, type hints, polars over pandas, pydantic for validation, and pytest for testing. Use when working with Python code.
Create and manipulate PowerPoint presentations programmatically. Build slide decks with layouts, shapes, charts, tables, and images. Generate data-driven presentations from templates.
Download videos from 1800+ platforms (YouTube, Bilibili, Twitter/X, TikTok, Vimeo, Instagram, etc.) and generate complete resource package with video, audio, subtitles, and AI summary. Actions: summarize, download, transcribe, extract video content. Platforms: youtube.com, bilibili.com, twitter.com, x.com, tiktok.com, vimeo.com, instagram.com, twitch.tv. Outputs: MP4 video, MP3 audio, VTT subtitles with timestamps, TXT transcript, MD AI summary. Auto-installs uv, yt-dlp, ffmpeg. Python dependencies managed by uv.
SQLAlchemy ORM patterns for Python database access. Use when defining models, writing queries, implementing upserts, working with JSON columns, or managing database sessions.
Use the type-bridge Python ORM for TypeDB. Covers defining entities, relations, attributes, CRUD operations, queries, expressions, and schema management. Use when working with TypeDB in Python projects.
Convert Python scripts to zero-dependency Java 25 CLI programs. Use when asked to migrate, convert, port, or rewrite Python scripts (.py) to Java, or when translating a Python codebase to Java CLI scripts or apps. Triggers on "convert Python to Java", "migrate Python", "port to Java", "rewrite in Java", or when a .py file is presented with instructions to produce a Java equivalent. Prefer /java-cli-script for single-file scripts; switch to /java-cli-app when shared code duplication across scripts exceeds ~100 lines.
Python project tooling with uv, mise, ruff, basedpyright, and pytest. Use when setting up pyproject.toml, running builds, typechecking, configuring tests, linting, formatting, or managing Python environments.
Modernize Python codebases - migrate pip to uv, upgrade syntax to Python 3.13+, replace deprecated patterns, and update tooling to current best practices.
Configure ruff, mypy, and basedpyright for Python 3.13 projects. Use when setting up linters and type checkers in pyproject.toml and pyrightconfig.json.
ROS2 Launch 进阶技能 - Python Launch、多 launch 嵌套、事件处理、条件启动、参数替换
Measure and improve test coverage and test suite quality using code coverage and mutation testing. Ensures tests actually catch bugs.
This skill should be used when the user asks about Polars DataFrame library (Apache Arrow) for Python or Rust. Triggers: "polars expressions", "lazy vs eager", "scan_parquet streaming", "convert pandas to polars", "pyspark to polars", "kdb to polars", "group_by_dynamic", "rolling_mean", "polars window functions", "asof join", "polars GPU", "polars parquet", "LazyFrame". Time series: OHLCV resampling, rolling windows, financial data patterns. Performance: native expressions over map_elements, early projection, categorical types, streaming.
Comprehensive plugin development skill for Claude Code. Analyzes business requirements and creates complete plugins including MCP servers, skills, slash commands, or combinations thereof. Supports TypeScript, Python, and any other language. Provides architecture guidance, templates, and end-to-end implementation.
