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Docs Cleaner

Community
seaworld008
docs-cleaner

Consolidate overlapping documentation and remove repetition while preserving useful content, references, and ownership.

Overview

Publisherseaworld008
RepositoryCommonly-used-high-value-skills
Skill namedocs-cleaner
Stars
70
Forks
11
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by seaworld008 on GitHub. Read the source before you install it.

Installation

Install the Docs Cleaner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills.git /tmp/Commonly-used-high-value-skills
mkdir -p .claude/skills
cp -r /tmp/Commonly-used-high-value-skills/openclaw-skills/docs-cleaner .claude/skills/docs-cleaner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs Cleaner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Docs Cleaner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Docs Cleaner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Decision Rules

Use deletion only when all of these are true:

  • The content is duplicated elsewhere or no longer accurate.
  • The replacement location is clear and linked.
  • No active workflow, script, or contributor guide depends on the old path.
  • The user can review the before/after structure.

Prefer consolidation when documents contain overlapping but non-identical procedures. Prefer archival when the content is historically useful but no longer operational. Prefer leaving content in place when ownership, accuracy, or downstream references are uncertain.

Verification Commands

After cleanup, run project-appropriate checks:

bash
rg "old-document-name|old/path" .
rg "TODO|TBD|placeholder" docs README.md

For documentation sites, also run the site build or link checker when available. Report both the reduction achieved and the content that was intentionally preserved.

Review Notes

Documentation cleanup should be reversible until the user accepts the new structure. Prefer a small staged change when removing high-traffic docs: first add redirects or pointers, then remove duplicates after references are updated. If docs are generated, update the source template or generator instead of editing generated pages directly.

When the cleanup affects onboarding, run a quick reader test: can a new contributor still find setup, architecture, commands, troubleshooting, and ownership information within two clicks from the main README?

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Docs Cleaner AI skill do?

Consolidate overlapping documentation and remove repetition while preserving useful content, references, and ownership.

Why use Docs Cleaner on TypingMind?

Because you install it once and use it with any model. Docs Cleaner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Docs Cleaner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/seaworld008/Commonly-used-high-value-skills/tree/main/openclaw-skills/docs-cleaner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Docs Cleaner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Docs Cleaner?

As many as you like. As long as a model supports skills, you can use Docs Cleaner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Docs Cleaner AI skill free?

Yes. It is published on GitHub by seaworld008 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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