Docs Update logo

Docs Update

Organization
warpdotdev
docs-update

Update user-facing documentation when code changes. Use when asked to update docs, review docs, handle documentation changes, run scheduled documentation tasks, or analyze recent commits for documentation needs.

Overview

Publisherwarpdotdev
Repositoryoz-skills
Skill namedocs-update
Stars
824
Forks
68
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Docs Update 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.
    https://github.com/warpdotdev/oz-skills/tree/main/.agents/skills/docs-update
  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/warpdotdev/oz-skills.git /tmp/oz-skills
mkdir -p .claude/skills
cp -r /tmp/oz-skills/.agents/skills/docs-update .claude/skills/docs-update
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs Update 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 Update 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 Update 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 Bot

Automatically review code changes and update user-facing documentation to keep it synchronized with the codebase. Works across documentation platforms (Mintlify, Docusaurus, GitBook, Fumadocs, etc.) and supports both monorepo and multi-repo setups.

Workflow

1. Identify Significant Code Changes

Determine which commits need documentation updates:

  • Find the default branch
  • Get recent commits (default: last 24 hours, or accept user-specified timeframe)
  • Examine each commit's changes to understand what was modified

Filter for significant changes:

  • New features or capabilities
  • API changes (new endpoints, parameters, return values)
  • Breaking changes
  • New configuration options
  • New CLI commands or flags
  • Changes to user-facing behavior

Skip documentation for:

  • Internal refactoring
  • Test-only changes
  • Minor bug fixes
  • Typo corrections in code
  • Performance optimizations without user impact

Be conservative: quality over quantity. When in doubt about significance, skip the update.

2. Analyze Documentation Context

Locate documentation:

  • Check for documentation directory in current repo (monorepo pattern)
  • Look for separate documentation repository in environment

Identify documentation platform: Determine the platform by examining configuration files and directory structure (e.g., Mintlify, Docusaurus, GitBook, Fumadocs, or generic markdown).

Understand documentation style: Read several existing documentation files to identify tone, voice, structure, code example patterns, terminology, and formatting conventions. Check for style guides or contribution documentation.

3. Determine Documentation Updates

Map code changes to documentation needs (new content, modifications, or additions to existing content).

Guidelines:

  • Prioritize user-facing changes over implementation details
  • Match existing documentation verbosity (some docs are comprehensive, others minimal)
  • Preserve existing accurate content—be strictly additive when possible
  • Keep content focused and avoid generic advice

4. Generate Documentation Changes

Match existing style:

  • Use the same tone, voice, and formality level identified in step 2
  • Follow the same heading structure and hierarchy
  • Use consistent terminology
  • Match code block formatting (language tags, highlighting)
  • Follow platform conventions (frontmatter, special syntax, custom components)

5. Execute or Report

Testing mode (when user asks to "see what would change"):

Output a text summary describing:

  • What changes were detected in commits
  • Which documentation files would be modified
  • What content would be added or changed
  • Rationale for why these updates are needed

Execution mode (when running as automation):

  1. Create a descriptive branch name (e.g., docs/auto-update-YYYYMMDD)

  2. Make documentation changes to appropriate files

  3. Commit with descriptive message listing the changes

    • Include co-author line: Co-Authored-By: Warp <agent@warp.dev>
  4. Push branch and create PR with description linking to relevant commits:

    • List which code changes triggered which documentation updates
    • Include commit references or URLs from source repository
    • Request review for accuracy and completeness

Multi-Repository Setup

When source code and documentation are in separate repositories, identify changes in the source repo, then switch to the docs repo and follow the workflow above. Reference source commits in the PR description.

Edge Cases

  • If no significant changes found, report that no documentation updates are needed
  • If documentation platform is unclear, default to standard markdown syntax
  • If conflicting with existing content, preserve existing information and note conflicts for human review

Key Principles

  • Conservative: Better to skip than clutter documentation
  • Consistent: Match existing style, tone, and structure exactly
  • Contextual: Consider the full documentation landscape, not just individual files
  • Clear: Explain significance of changes and rationale for updates
  • Practical: Focus on helping users accomplish tasks, not describing implementation

Frequently asked questions

What does the Docs Update AI skill do?

Update user-facing documentation when code changes. Use when asked to update docs, review docs, handle documentation changes, run scheduled documentation tasks, or analyze recent commits for documentation needs.

Why use Docs Update on TypingMind?

Because you install it once and use it with any model. Docs Update 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 Update in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/warpdotdev/oz-skills/tree/main/.agents/skills/docs-update. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Docs Update?

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 Update?

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

Is the Docs Update AI skill free?

Yes. It is published on GitHub by warpdotdev 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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