Server-specific best practices for FastAPI, Celery, and Pydantic. Extends python-skills with framework-specific patterns.
Analyze Python imports and dependencies. Use to understand project structure, find unused imports, or generate requirements.txt files.
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.
Best practices for NumPy array programming, numerical computing, and performance optimization in Python
FastAPI Python framework. Covers REST APIs, validation, dependencies, security. Keywords: Pydantic, async, OAuth2, JWT.
Discovers and indexes Python code in skills, enabling cross-skill imports. Use when importing functions from other skills or analyzing skill codebases.
Expert guidance for Odoo ERP development including Python ORM, XML views, and module architecture
使用 python-docx 精确读取、分析、修改 Word 文档（.docx）格式。当用户需要分析文档格式、批量修改格式、统一排版规范、处理中英文混排字体、修改交叉引用样式时使用此 skill。
Guidelines for building RoboCorp RPA automation with Python, emphasizing functional programming, Pydantic validation, and async operations.
Generate flowcharts from YAML/JSON definitions or Python DSL. Supports standard flowchart shapes, swimlanes, and PNG/SVG/PDF export.
Expert guidance for HTML/XML parsing using BeautifulSoup in Python with best practices for DOM navigation, data extraction, and efficient scraping workflows.
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.
Setup Sentry Metrics in any project. Use when asked to add custom metrics, track counters/gauges/distributions, or instrument application performance. Supports JavaScript and Python.
Configure Trigger.dev projects with trigger.config.ts. Use when setting up build extensions for Prisma, Playwright, FFmpeg, Python, or customizing deployment settings.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.