parseltongue

Analyzes Python test suites for quality, coverage, and improvement opportunities.

Analyzes Python async code for correctness, patterns, and potential issues.

Profiles Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.

Expert Python linting agent that enforces strict ruff rules and ensures code passes all lint checks WITHOUT bypassing via per-file-ignores. Use when fixing lint errors, setting up linting, or reviewing code quality. NEVER adds per-file-ignores to bypass lint checks.

Expert Python performance optimization agent specializing in profiling, bottleneck identification, memory optimization, and algorithm improvements. Use when code is slow or memory-intensive.

Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACTIVELY for Python development, optimization, or advanced Python patterns.

Expert Python testing agent specializing in pytest, TDD workflows, mocking strategies, and thorough test coverage.

Consult this skill for async Python patterns and concurrency. Use when building async APIs, concurrent systems, I/O-bound applications, implementing rate limiting, async context managers. Do not use when CPU-bound optimization - use python-performance instead. DO NOT use when: testing async code - use python-testing async module.

Consult this skill for Python package creation and distribution. Use when creating Python packages, configuring pyproject.toml, setting up entry points, publishing to PyPI, CI/CD for packages. Do not use when testing packages - use python-testing instead. DO NOT use when: optimizing package performance - use python-performance.

Consult this skill for Python performance profiling and optimization. Use when debugging slow code, identifying bottlenecks, optimizing memory, benchmarking performance, production profiling. Do not use when async concurrency - use python-async instead. DO NOT use when: CPU/GPU system monitoring - use conservation:cpu-gpu-performance.

Consult this skill for Python testing implementation and patterns. Use when writing unit tests, setting up test suites, implementing TDD, configuring pytest, creating fixtures, async testing, writing integration tests, mocking dependencies, parameterizing tests, setting up CI/CD testing. Do not use when evaluating test quality - use pensive:test-review instead. DO NOT use when: infrastructure test config - use leyline:pytest-config.