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Docs Review

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foryourhealth111-pixel
docs-review

Review documentation changes for compliance with the Metabase writing style guide. Use when reviewing pull requests, files, or diffs containing documentation markdown files.

Overview

Publisherforyourhealth111-pixel
RepositoryVibe-Skills
Skill namedocs-review
Stars
3.3K
Forks
288
Bundled files
Instructions only
LicenseApache-2.0
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 foryourhealth111-pixel on GitHub. Read the source before you install it.

Installation

Install the Docs Review 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/foryourhealth111-pixel/Vibe-Skills.git /tmp/Vibe-Skills
mkdir -p .claude/skills
cp -r /tmp/Vibe-Skills/bundled/skills/docs-review .claude/skills/docs-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs Review 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 Review 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 Review 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 Review Skill

@./../_shared/metabase-style-guide.md

Review mode detection

IMPORTANT: Before starting the review, determine which mode to use:

  1. PR review mode: If the mcp__github__create_pending_pull_request_review tool is available, you are reviewing a GitHub PR

    • Use the pending review workflow to post all issues as one cohesive review
    • Follow the workflow steps in "PR review mode format" below
  2. Local review mode: If the MCP tool is NOT available, output issues in the conversation

    • Format all issues in a numbered markdown list (as described in "Feedback format" below)

Review process

  1. Detect review mode - Check if mcp__github__create_pending_pull_request_review is available
  2. Read the changes through once to understand intent
  3. Check all issues that violate style guide or significantly impact readability
  4. Only flag issues worth mentioning - if it won't make a material difference to the reader, skip it
  5. REQUIRED: Number ALL feedback sequentially - Start from Issue 1 and increment for each issue found

Review checklist

Run through the diff looking for these issues:

Tone and voice:

  • Formal/corporate language ("utilize" not "use", "offerings", etc.)
  • "Users" instead of "people" or "companies"
  • Excessive exclamation points or overly peppy tone
  • Telling readers something is cool instead of showing them

Structure and clarity:

  • Important information buried instead of leading
  • Verbose text that adds little value
  • Paragraphs without clear purpose
  • Vague headings that don't convey the point
  • Instructions explain "why" before telling "what to do"
  • Tasks described as "easy" or "simple"

Links and references:

  • Linking the word "here" instead of descriptive text
  • Links in headings (unless entire heading is a link)

Formatting:

  • Ampersands as "and" substitute (except proper nouns)
  • Inconsistent list formatting

Code and examples:

  • Code examples that don't work or would error
  • Commands not in execution order
  • Full-width screenshots instead of scoped UI elements
  • Excessive or unnecessary images

Sentence construction:

  • Overuse of pronouns when introducing new terms

Quick scan table

PatternIssue
we can do X, our featureShould be "Metabase" or "it"
click here, read more hereNeed descriptive link text
easy, simple, justRemove condescending qualifiers
usersShould be "people" or "companies" if possible

Feedback format

MANDATORY REQUIREMENT: Every single issue MUST be numbered sequentially starting from Issue 1.

This numbered format is NON-NEGOTIABLE. It allows users to efficiently reference specific issues (e.g., "fix issues 1, 3, and 5") and track which feedback has been addressed.

Local review mode format

When outputting issues in the conversation (local mode), use this format:

markdown
## Issues

**Issue 1: [Brief title]**
Line X: Succinct description of the issue
[code or example]
Suggested fix or succinct explanation

**Issue 2: [Brief title]**
Line Y: Description of the issue
Suggested fix or explanation

**Issue 3: [Brief title]**
...

Examples:

Issue 1: Formal tone Line 15: This could be more conversational. Consider: "You can't..." instead of "You cannot..."

Issue 2: Vague heading Line 8: The heading could be more specific. Try stating the point directly: "Run migrations before upgrading" vs "Upgrade process"

PR review mode format

When posting to GitHub (PR mode), use the pending review workflow:

Workflow steps:

  1. Start a review: Use mcp__github__create_pending_pull_request_review to begin a pending review

    • This creates a draft review that won't be visible until submitted
  2. Get diff information: Use mcp__github__get_pull_request_diff to understand the code changes and line numbers

    • This helps you determine the correct file paths and line numbers for comments
  3. Identify ALL issues: Read through all changes and identify every issue worth mentioning

    • Collect all issues before posting any comments
    • Number them sequentially (Issue 1, Issue 2, Issue 3, etc.)
  4. Add review comments: Use mcp__github__add_pull_request_review_comment_to_pending_review for each issue

    • CRITICAL: Post ALL comments in a SINGLE response using multiple tool calls in parallel
    • Each comment should reference a specific file path and line number from the diff
    • Start each comment body with **Issue N: [Brief title]**
    • Include the description and suggested fix
  5. Submit the review: Use mcp__github__submit_pending_pull_request_review to publish all comments at once

    • Use event type "COMMENT" (NOT "REQUEST_CHANGES") to make it non-blocking
    • Do NOT include a body message - Leave the body empty or omit it entirely
    • All comments will appear together as one cohesive review

Comment format example:

**Issue 1: Formal tone**

This could be more conversational. Consider: "You can't..." instead of "You cannot..."

IMPORTANT:

  • Each issue gets its own review comment attached to the pending review
  • Number ALL comments sequentially (Issue 1, Issue 2, Issue 3, etc.)
  • Always start the comment body with **Issue N: [Brief title]**
  • MUST add all comments in parallel in a single response - Do NOT add them one after another in separate responses
  • Do NOT output a summary message to the conversation - only post GitHub review comments
  • When submitting the review, do NOT include a body parameter (or leave it empty) to avoid cluttering the PR with summary text
  • The review will appear as a single review with multiple comments when submitted

Final check

  1. Remove any issues from your assessment that won't make a material difference to the reader if addressed. Only flag issues worth the author's time to fix.
  2. Verify all issues are numbered sequentially starting from Issue 1 with no gaps in numbering.
  3. Confirm the format exactly matches: **Issue N: [Brief title]** where N is the issue number.
  4. In PR mode: Verify each issue was posted as a separate GitHub comment (not output to conversation).

Frequently asked questions

What does the Docs Review AI skill do?

Review documentation changes for compliance with the Metabase writing style guide. Use when reviewing pull requests, files, or diffs containing documentation markdown files.

Why use Docs Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/docs-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Docs Review?

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 Review?

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

Is the Docs Review AI skill free?

Yes. It is published on GitHub by foryourhealth111-pixel under the Apache-2.0 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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