Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use after any change under experiments/napkin_math/ or to the upstream skill prompts that feed into it (extract-parameters-from-full, extract-parameters-from-digest, generate-bounds, generate-calculations, run-scenarios, monte-carlo). Runs the smoke-test suite and reports pass/fail. Invoke before declaring napkin-math work done.
Use after the napkin_math pipeline has produced parameters.json (from extract-parameters-from-digest or extract-parameters-from-full) to validate it against the 16 structural checks the rest of the pipeline assumes. Writes validation.json next to parameters.json. Deterministic Python — no LLM call.
Write ratchet tests to prevent accumulation of code anti-patterns. Use when asked to create a "ratchet test" for tracking and preventing specific code patterns (e.g., TODO comments, inline imports, broad exception handling).
Automates browser interactions for web testing, form filling, screenshots, and data extraction using Playwright CLI connected to a remote Azure Playwright Service browser.
Post a written review file to GitHub as a proper PR review
Help customers fix device issues. Use when something isn't working.
Validate and improve the test approach in an implementation plan
Optimize SQL query performance through EXPLAIN analysis, indexing strategies, and query rewriting for PostgreSQL, MySQL, and SQL Server. Use when debugging slow queries, analyzing execution plans, or improving database performance.
Analyze an error message and suggest fixes
Cross-engine game performance: draw call optimization, LOD, object pooling, GPU profiling, memory management, and platform-specific tuning.