combine-docs

To consolidate documentation sprawl, you need to discover all docs, map them by purpose, identify overlaps, and execute a plan to produce a unified set. This process resolves contradictions by prioritizing fresher sources and preserving unique information.

Merging duplicate READMEs and guides involves analyzing redundancy across modules and proposing a consolidation plan with actionable steps. The process preserves unique data, resolves conflicts by freshness, and integrates changes through version control with approval.

You can optimize docs for both humans and agents by analyzing existing documentation for staleness and producing a unified, optimized set. This ensures the consolidated output is structured and accessible for automated processing and human readability.

Documentation consolidation preserves original sources by linking to them during the optimization process. This prevents data loss while executing the approved consolidation plan and integrating the new unified documents into version control.

Fixing contradictions across changelogs and config docs requires analyzing the documents across languages and ecosystems, then resolving conflicts by prioritizing fresher sources. The system proposes a plan to enforce a unified, optimized documentation set.