Quality

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.

Reviews draft ITU-T Recommendations and ITU-T | ISO/IEC common texts for compliance with official drafting rules, identifying issues before submission. Use for pre-submission audits, structural checks, and formatting verification.

Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

Guides test-driven development for AI coding agents, ensuring tests are spec-like, seams are confirmed, and the red-green loop produces maintainable tests. Use when building features or fixing bugs test-first.

Moves issues and external pull requests through triage states and roles. Use it to classify, verify, and prepare items with agent-ready or human-ready briefs.

Derive the fidelity ledger and acceptance scenarios from a locked prototype after gate 2b. Use only when a portion is newly locked or re-locked, never before.

Is This Photo Real verifies whether an image or video is authentic, original, and correctly captioned using provenance checks, metadata, and visual forensics. Use it when fact-checking media, checking for manipulation or deepfakes, or testing whether footage is recycled or miscaptioned.

Produces a comprehensive slice-exit report when a development slice is believed complete, serving as the definition of 'green' with evidence, audit trail, and methodology checks.

IELTS Mock Review analyzes a completed IELTS mock test using section scores, timing, question results, and writing or speaking evidence. Use it to spot the biggest weaknesses and choose a small set of repair tasks after a mock exam.