docs-cleaner

daymade/claude-code-skills · updated Apr 22, 2026

$npx skills add https://github.com/daymade/claude-code-skills --skill docs-cleaner
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summary

Consolidate redundant documentation while preserving 100% of valuable content.

skill.md

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:

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  • Delete: Duplicate, one-time, self-evident, outdated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:

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

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:

  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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.667 reviews
  • Anaya Lopez· Dec 24, 2024

    docs-cleaner reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Anika Khan· Dec 24, 2024

    docs-cleaner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Dec 20, 2024

    Solid pick for teams standardizing on skills: docs-cleaner is focused, and the summary matches what you get after install.

  • Anika Reddy· Dec 20, 2024

    docs-cleaner has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Dec 12, 2024

    docs-cleaner reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Meera Gonzalez· Dec 12, 2024

    docs-cleaner has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Anika Nasser· Dec 8, 2024

    I recommend docs-cleaner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Soo Li· Dec 8, 2024

    Useful defaults in docs-cleaner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Mia Ndlovu· Dec 4, 2024

    Solid pick for teams standardizing on skills: docs-cleaner is focused, and the summary matches what you get after install.

  • Anika Shah· Nov 27, 2024

    docs-cleaner reduced setup friction for our internal harness; good balance of opinion and flexibility.

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