The Incoherence Detector skill provides a specialized 22-step workflow designed to audit, identify, and resolve discrepancies where documentation has become stale or misaligned with the actual codebase. It offers a systematic approach to detecting contradictions, categorizing them by severity, and facilitating a reconciliation phase to update either the code or the docs. While this skill is now deprecated in favor of the more robust 'doc-accuracy' skill, it remains essential for teams maintaining legacy workflows that depend on the specific scripts/incoherence.py reconciliation logic.
주요 기능
01Structured 22-step audit and reconciliation process
02Comprehensive report generation with actionable resolution suggestions
03Automated detection of doc-vs-code contradictions
0435 GitHub stars
05Severity-based reporting for critical and high-priority issues
06Legacy support for scripts/incoherence.py reconciliation scripts
사용 사례
01Auditing legacy codebases for stale or outdated technical documentation
02Finding and fixing contradictions between implementation details and README files
03Executing manual reconciliation steps for complex documentation audits