michellepellon

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.

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.

Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Analyze session history to identify inefficiency patterns and workflow gaps. Two modes: lightweight end-of-session reflection from conversation context, or comprehensive periodic analysis across multiple sessions via jq-extracted JSONL summaries. Produces structured reports with copy-paste-ready improvement proposals for CLAUDE.md, skills, commands, and automation.

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.

Create high-converting, visually distinctive landing pages. Use when building marketing pages, product launches, SaaS homepages, or any single-page conversion-focused website. Guides section-by-section composition with anti-AI-slop principles.