Optimizes development and QA workflows by analyzing checklist effectiveness and identifying process gaps.
Checklist Health Analysis is a specialized tool designed to maintain the peak performance of structured agent workflows, specifically within the Agent Triforce framework. By monitoring 'hit rates' and identifying items that consistently fail to catch issues, it helps teams prune stale checklist items and add high-value checks based on Boorman's principles. This skill is essential for teams looking to maintain lean context windows while ensuring rigorous quality assurance and project management standards are met through data-driven process evolution.
Características Principales
01Evolution suggestions following Boorman's principles (simple, <10 words)
02Coverage gap analysis using review logs and tech debt patterns
03Standardized health reporting for PM, Dev, and QA agent files
04Stale item identification based on recent workflow history
05Automated hit rate calculation for individual checklist items
063 GitHub stars
Casos de Uso
01Improving QA catch rates by identifying recurring issues not covered by current checks
02Auditing AI agent workflows to remove low-value steps and reduce context bloat
03Maintaining high-security standards by flagging critical 'last resort' checklist items
