Documentation Cleaner
Consolidate redundant documentation while preserving 100% of valuable content.
Core Principle
Critical evaluation before deletion. Never blindly delete. Analyze each section's unique value before proposing removal. The goal is reduction without information loss.
Workflow
Phase 1: Discovery
- •Identify all documentation files covering the topic
- •Count total lines across files
- •Map content overlap between documents
Phase 2: Value Analysis
For each document, create a section-by-section analysis table:
| Section | Lines | Value | Reason |
|---|---|---|---|
| API Reference | 25 | Keep | Unique endpoint documentation |
| Setup Steps | 40 | Condense | Verbose but essential |
| Test Results | 30 | Delete | One-time record, not reference |
Value categories:
- •Keep: Unique, essential, frequently referenced
- •Condense: Valuable but verbose
- •Delete: Duplicate, one-time, self-evident, outdated
See references/value_analysis_template.md for detailed criteria.
Phase 3: Consolidation Plan
Propose target structure:
code
Before: 726 lines (3 files, high redundancy) After: ~100 lines (1 file + reference in CLAUDE.md) Reduction: 86% Value preserved: 100%
Phase 4: Execution
- •Create consolidated document with all valuable content
- •Delete redundant source files
- •Update references (CLAUDE.md, README, imports)
- •Verify no broken links
Value Preservation Checklist
Before finalizing, confirm preservation of:
- • Essential procedures (setup, configuration)
- • Key constraints and gotchas
- • Troubleshooting guides
- • Technical debt / roadmap items
- • External links and references
- • Debug tips and code snippets
Anti-Patterns
| Pattern | Problem | Solution |
|---|---|---|
| Blind deletion | Loses valuable information | Section-by-section analysis first |
| Keeping everything | No reduction achieved | Apply value criteria strictly |
| Multiple sources of truth | Future divergence | Single authoritative location |
| Orphaned references | Broken links | Update all references after consolidation |
Output Artifacts
A successful cleanup produces:
- •Consolidated document - Single source of truth
- •Value analysis - Section-by-section justification
- •Before/after metrics - Lines reduced, value preserved
- •Updated references - CLAUDE.md or README with pointer to new location