Quality

Audits AI-built apps for production readiness across frontend, backend, security, infrastructure, and operations, producing a scored scorecard and prioritized fix list.

Align, lock, and review a PLAN.md coding contract through human Q&A and automated plan critique, ensuring a clear plan before implementation.

Use when reviewing or improving an existing agent skill. Covers triggering accuracy, content quality, redundancy with the base model, and measuring whether the skill actually changes behavior.

Use when designing or reviewing an HTTP API. Covers resource modeling, status codes, pagination, idempotency, versioning, error formats, and the contract details that break clients when you get them wrong.

Build Django applications with efficient ORM usage, secure settings, and safe migrations. Use when developing or reviewing Django apps, APIs, or database designs.

Multi-reviewer peer-review system that simulates an editorial panel for food and nutrition manuscripts, grounding critiques in cited sources and field literature. Use before submission for a rigorous check.

Reviews code changes since a fixed point along two independent axes: coding standards compliance and spec/issue fidelity. Runs both reviews in parallel sub-agents and reports findings side by side. Ideal for reviewing branches, PRs, or work-in-progress changes.

A shared vocabulary and principles for designing deep, testable modules with small interfaces and high leverage. Use when designing or improving module interfaces, deciding where to place seams, or making code more maintainable and AI-navigable.

Guides systematic debugging of hard bugs and performance regressions through building a tight feedback loop, reproducing, minimizing, hypothesizing, and instrumenting. Use when encountering difficult or flaky bugs.

A relentless interview session to sharpen your project plan or design through tough questioning and feedback.

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

Scans a codebase for architectural friction, identifies shallow modules, and presents deepening opportunities as an interactive HTML report. Guides refactoring through a decision-tree grilling process, improving testability and AI-navigability.