python
Deep fluency in modern Python (3.14+) for production systems. Use when writing Python code, designing APIs, building data pipelines, creating async services, or optimizing performance. Covers typing, tooling (uv/pyright/ruff), FastAPI, Polars, observability, and engineering judgment.
documentation-audit
Systematically verify documentation claims against codebase reality. Use when auditing docs, before releases, after refactors, or when documentation drift is suspected. Two-pass approach with pattern expansion ensures comprehensive detection of false claims, dead references, and gaps.
fresh-eyes-review
Use when about to commit, create a PR, or declare work complete — after verification-before-completion confirms tests pass but before code ships. Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests.