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Found 1,896 Skills
Write and evaluate effective Python tests using pytest. Use when writing tests, reviewing test code, debugging test failures, or improving test coverage. Covers test design, fixtures, parameterization, mocking, and async testing.
UV/UVX/Ruff toolchain for DiscoHy Thread Operad with Python packaging and linting
Build browser automation scripts using the Kernel Python SDK with Playwright and remote browser management.
Telnyx Missions SDK operations. This skill provides Python SDK examples.
Before running Python scripts or installing packages, check for existing virtual environments and reuse them if found. If no virtual environment exists, ask the user to choose: (1) Create new venv in current directory (recommended), (2) Use system Python directly, or (3) Create venv at custom path. This applies to: running .py files, using pip/uv pip install, or any task requiring third-party packages. Exceptions: simple one-liners using only Python standard library.
Upgrade Python dependencies using uv, then run post-upgrade checks to ensure nothing is broken.
Production-ready financial analyst skill with ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. 4 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Use this skill when building Python desktop applications using PySide6 with strict MVC architecture where all UI is defined by .ui files. Covers architecture patterns, controller/model/view separation, signal handling, and .ui file workflows.
Use this skill when you need to work with sentry through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Use this skill when you need to work with canva through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Use this skill when you need to work with context7 through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.