@./../_shared/metabase-style-guide.md
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondocs-reviewExecute the skills CLI command in your project's root directory to begin installation:
Fetches docs-review from metabase/metabase and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate docs-review. Access via /docs-review in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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@./../_shared/metabase-style-guide.md
IMPORTANT: Before starting the review, determine which mode to use:
PR review mode: If the mcp__github__create_pending_pull_request_review tool is available, you are reviewing a GitHub PR
Local review mode: If the MCP tool is NOT available, output issues in the conversation
mcp__github__create_pending_pull_request_review is availableRun through the diff looking for these issues:
Tone and voice:
Structure and clarity:
Links and references:
Formatting:
Code and examples:
Sentence construction:
| Pattern | Issue |
|---|---|
| we can do X, our feature | Should be "Metabase" or "it" |
| click here, read more here | Need descriptive link text |
| easy, simple, just | Remove condescending qualifiers |
| users | Should be "people" or "companies" if possible |
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.
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: 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"
When posting to GitHub (PR mode), use the pending review workflow:
Workflow steps:
Start a review: Use mcp__github__create_pending_pull_request_review to begin a pending review
Get diff information: Use mcp__github__get_pull_request_diff to understand the code changes and line numbers
Identify ALL issues: Read through all changes and identify every issue worth mentioning
Add review comments: Use mcp__github__add_pull_request_review_comment_to_pending_review for each issue
**Issue N: [Brief title]**Submit the review: Use mcp__github__submit_pending_pull_request_review to publish all comments at once
"COMMENT" (NOT "REQUEST_CHANGES") to make it non-blockingComment format example:
**Issue 1: Formal tone**
This could be more conversational. Consider: "You can't..." instead of "You cannot..."
IMPORTANT:
**Issue N: [Brief title]****Issue N: [Brief title]** where N is the issue number.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
langchain-ai/deepagents
upstash/context7
wispbit-ai/skills
awesome-skills/code-review-skill
phuryn/pm-skills
poteto/noodle
docs-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in docs-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
docs-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: docs-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in docs-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend docs-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for docs-review matched our evaluation — installs cleanly and behaves as described in the markdown.
docs-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: docs-review is focused, and the summary matches what you get after install.
I recommend docs-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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