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docs-cleaner

by daymade

清理臃肿文档、合并重复内容,先逐节分析价值再收敛成单一可信版本,保留关键信息、更新引用并删除冗余文件,适合同主题文档分散且重复严重时使用。

文档一多就容易重复又难维护,它能把同主题内容智能归并、去重且不丢关键信息,特别适合整理膨胀中的知识库。

1.2k内容与创意未扫描2026年3月5日

安装

claude skill add --url github.com/daymade/claude-code-skills/tree/main/docs-cleaner

文档

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

  1. Identify all documentation files covering the topic
  2. Count total lines across files
  3. Map content overlap between documents

Phase 2: Value Analysis

For each document, create a section-by-section analysis table:

SectionLinesValueReason
API Reference25KeepUnique endpoint documentation
Setup Steps40CondenseVerbose but essential
Test Results30DeleteOne-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  • Delete: Duplicate, one-time, self-evident, outdated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

  1. Create consolidated document with all valuable content
  2. Delete redundant source files
  3. Update references (CLAUDE.md, README, imports)
  4. 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

PatternProblemSolution
Blind deletionLoses valuable informationSection-by-section analysis first
Keeping everythingNo reduction achievedApply value criteria strictly
Multiple sources of truthFuture divergenceSingle authoritative location
Orphaned referencesBroken linksUpdate all references after consolidation

Output Artifacts

A successful cleanup produces:

  1. Consolidated document - Single source of truth
  2. Value analysis - Section-by-section justification
  3. Before/after metrics - Lines reduced, value preserved
  4. Updated references - CLAUDE.md or README with pointer to new location

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