docs-cleaner/SKILL.md
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.
npx skillsauth add fernandezbaptiste/claude-code-skills docs-cleanerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Consolidate redundant documentation while preserving 100% of valuable content.
Critical evaluation before deletion. Never blindly delete. Analyze each section's unique value before proposing removal. The goal is reduction without information loss.
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:
See references/value_analysis_template.md for detailed criteria.
Propose target structure:
Before: 726 lines (3 files, high redundancy)
After: ~100 lines (1 file + reference in CLAUDE.md)
Reduction: 86%
Value preserved: 100%
Before finalizing, confirm preservation of:
| 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 |
A successful cleanup produces:
data-ai
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.
development
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.
development
This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.
development
Extract design systems from reference UI images and generate implementation-ready UI design prompts. Use when users provide UI screenshots/mockups and want to create consistent designs, generate design systems, or build MVP UIs matching reference aesthetics.