Context Layer Consolidation provides an evidence-based maintenance workflow to keep organization wikis and project knowledge bases coherent, up to date, and cleanly structured. Working from deterministic lint reports, this skill systematically prunes unsupported synthesis, handles superseded architecture decisions, merges near-duplicate topics with wikilinks, and fixes ghost links across markdown directories like org, areas, and decisions. It is especially useful for teams using automated knowledge publishers or dreaming loops to prevent documentation drift and maintain high-fidelity context for humans and AI agents alike.
주요 기능
01Prunes unsupported claims and marks expired priorities or superseded decisions
02Repairs ghost links and splits oversized context documentation
03Processes deterministic markdown lint queues to resolve wiki errors systematically
0475 GitHub stars
05Generates detailed run summaries of deletions for automated commit messaging
06Merges duplicate pages and preserves navigation via backlinked wikilinks
사용 사례
01Auditing and refactoring large markdown decision record repositories (ADRs) to update superseded statuses
02Preventing context rot and duplicate documentation across complex engineering team spaces
03Maintaining an AI-accessible organization wiki or context layer prior to automated branch publishing