> docs-cleaner

Consolidates redundant documentation while preserving all valuable content. This skill should be used when users want to clean up documentation bloat, merge redundant docs, reduce documentation sprawl, or consolidate multiple files covering the same topic. Triggers include "clean up docs", "consolidate documentation", "too many doc files", "merge these docs", or when documentation exceeds 500 lines across multiple files covering similar topics.

fetch
$curl "https://skillshub.wtf/daymade/claude-code-skills/docs-cleaner?format=md"
SKILL.mddocs-cleaner

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  • Delete: Duplicate, one-time, self-evident, outdated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

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

> related_skills --same-repo

> doc-to-markdown

Converts DOCX/PDF/PPTX to high-quality Markdown with automatic post-processing. Fixes pandoc grid tables, simple tables, image paths, CJK bold spacing, attribute noise, and code blocks. Benchmarked best-in-class (7.6/10) against Docling, MarkItDown, Pandoc raw, and Mammoth. Trigger on "convert document", "docx to markdown", "parse word", "doc to markdown", "解析word", "转换文档".

> asr-transcribe-to-text

Transcribe audio and video files to text using a remote ASR service (Qwen3-ASR or OpenAI-compatible endpoint). Extracts audio from video, sends to configurable ASR endpoint, outputs clean text. Use when the user wants to transcribe recordings, convert audio/video to text, do speech-to-text, or mentions ASR, Qwen ASR, 转录, 语音转文字, 录音转文字, or has a meeting recording, lecture, interview, or screen recording to transcribe.

> youtube-downloader

Download YouTube videos and HLS streams (m3u8) from platforms like Mux, Vimeo, etc. using yt-dlp and ffmpeg. Use this skill when users request downloading videos, extracting audio, handling protected streams with authentication headers, or troubleshooting download issues like nsig extraction failures, 403 errors, or cookie extraction problems.

> windows-remote-desktop-connection-doctor

Diagnose Windows App (Microsoft Remote Desktop / Azure Virtual Desktop / W365) connection quality issues on macOS. Analyze transport protocol selection (UDP Shortpath vs WebSocket), detect VPN/proxy interference with STUN/TURN negotiation, and parse Windows App logs for Shortpath failures. This skill should be used when VDI connections are slow, when transport shows WebSocket instead of UDP, when RDP Shortpath fails to establish, or when RTT is unexpectedly high.

┌ stats

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github stars975
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first seenMar 20, 2026
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┌ repo

daymade/claude-code-skills
by daymade
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