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Author, validate, and maintain pytest-httpchain JSON HTTP-API test scenarios — ships the authoring skill, a static-validating subagent, and /setup + /doctor.
Profile a pytest suite, rank safe speedups with a safety-first rubric, and apply each as its own verified commit
Diagnose slow pytest suites, profile with pyinstrument, apply targeted fixes, and produce a performance report
Python development standards, toolchain preferences, and coding conventions for modern Python projects
Trusted defaults and doc URLs for Python targets: docstring and comment conventions, testing setup, and toolchain choices. Install on top of core.
Simplifies and refines Python code for clarity, consistency, and maintainability while preserving all functionality
Python development workflow with architecture design, coding guidelines, testing patterns, and specialized review agents
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Python development with Django, Flask, FastAPI, async patterns and uv for package management
Python craftsperson agent with uv and pip toolchain skills
Comprehensive Python 3.13+ expertise covering modern Python, async, types, performance, and cloud deployment. PROACTIVELY activate for: (1) any Python task, (2) 3.13+ features (free-threading, JIT), (3) asyncio and concurrency, (4) type hints with mypy/pyright, (5) package management (uv/pip/poetry), (6) project layout, (7) FastAPI, (8) Pydantic, (9) pytest, (10) Cloudflare Workers/Containers Python, (11) GitHub Actions workflows, (12) profiling, (13) OWASP security, (14) Ruff linting. Provides: production patterns, memory profiling, dataclass vs Pydantic guidance.
Shared Python foundation skills for the SDLC marketplace. Contains stack-agnostic Python conventions (python-conventions — type hints, dataclasses, match, pathlib, enums, context managers, PEP 8, strict typing), python-tooling (pyproject.toml as source of truth, pip/Poetry/uv/pipenv, venv, lockfiles, ruff lint+format, mypy, console scripts), and pytest-testing (fixtures, parametrize, conftest, monkeypatch, unittest.mock, pytest-cov). No agent, no stack profile — pure shared library. Referenced by django-plugin, fastapi-plugin, flask-plugin, and python-plugin.
Complete Python library development toolkit - all skills for building professional-grade libraries
Skills for packaging, releasing, and distributing Python libraries
Quality-focused skills - security, performance, and API design
Complete toolkit for building Model Context Protocol (MCP) servers in Python using the official SDK with FastMCP. Includes instructions for best practices, a prompt for generating servers, and an expert chat mode for guidance.
Research-backed best practices for building modern, production-grade Python packages — project structure, pyproject.toml, typing, testing, CI/CD, documentation, versioning, API design, packaging, security, and developer experience
Plain Python backend stack provider (priority=100). Detects any Python project via pyproject.toml/requirements.txt/setup.py/Pipfile. Adds python-architect agent (Sonnet/medium) for libraries, CLI tools, scripts, data pipelines, and microservices without a recognized web framework. Falls back gracefully when django-plugin/fastapi-plugin/flask-plugin (priority 150) match instead. Adds python-app-conventions skill. Reuses python-foundation skills.