review-reference-maintenance

What problem does it solve?

Review references given to AI reviewers can become stale or overly contextual, causing incorrect assessments and inconsistent feedback. This Skill helps teams periodically audit those references so the review system keeps producing reliable guidance.

Core Features & Use Cases

• Audit and triage reference freshness: Evaluate entries by status (active first), review age, and applicability to current codebase/design direction.
• Classify by reusability strength: Move items among active, candidate, and deprecated based on concrete criteria like context clarity and evidence quality.
• Harden references for reuse: Distill lessons to remove personal names, emotion, and overly context-dependent phrasing so references stay broadly applicable.

Quick Start

Use review-reference-maintenance to inspect review-references/team-lead/references.yaml and update reference statuses (active/candidate/deprecated) with clear reasons and a maintenance result summary.