本文へ移動
cccskills
無料GitHub で公開

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.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md6.9 KB
  • metadata.json608 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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:

  • Backticks on UI elements (should use bold)
  • Backticks used as quotation marks
  • 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
Button name or UI elementShould use bold not backticks
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:

## 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: Backticks on UI elements Line 42: This uses backticks for the UI element. Use bold instead: Filter not Filter.

Issue 2: Formal tone Line 15: This could be more conversational. Consider: "You can't..." instead of "You cannot..."

Issue 3: 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: Backticks on UI elements**

This uses backticks for the UI element. Use **bold** instead: **Filter** not `Filter`.

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).

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

adaptyv

無料

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Microck のスキルをすべて見る

このスキルの問題を報告する