python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
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.
Guides resource lifecycle handling for connections and file handles. Covers context managers, cleanup logic, and streaming responses that maintain accumulated state.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Provides guidance for Fully Sharded Data Parallel training in PyTorch. Covers parameter sharding, mixed precision, CPU offloading, and FSDP2.
Creates multiple-choice questions to check understanding of technical articles, documentation, tutorials, and book chapters. Accepts URLs, Markdown, text, or file paths and outputs quizzes in the specified YAML self-assessment format.
Identifies a World Q skill without describing its functionality.
Runs systematic web QA and iteratively fixes bugs, committing each fix atomically and re-verifying it. Offers Quick, Standard, and Exhaustive tiers and produces before-and-after health scores, fix evidence, and a ship-readiness summary.
Builds, installs, and launches the app in the iOS Simulator. Uses screenshots and accessibility descriptions to check that changes look and behave correctly.
Scopes and plans a browser-driven QA pass over a branch or pull request. Assigns each testing area to a subagent in an isolated sandbox and compiles findings into a severity-ranked Markdown report.
Clarify a requirement as a lean PRD: problem, goal, success, scope, assumptions, and only the decisions that need you.
Use when a user wants a systematic QA pass over a web app, including smoke tests, exploratory coverage, screenshots, health scoring, and structured reports.
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