clojure-review

metabase/metabase · updated Apr 8, 2026

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$npx skills add https://github.com/metabase/metabase --skill clojure-review
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summary

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

  • @./../_shared/clojure-commands.md
skill.md

Clojure Code Review Skill

@./../_shared/clojure-style-guide.md @./../_shared/clojure-commands.md

Review guidelines

What to flag:

  • Check compliance with the Metabase Clojure style guide (included above)
  • If CLOJURE_STYLE_GUIDE.adoc exists in the working directory, also check compliance with the community Clojure style guide
  • Flag all style guide violations

What NOT to post:

  • Do not post comments congratulating someone for trivial changes or for following style guidelines
  • Do not post comments confirming things "look good" or telling them they did something correctly
  • Only post comments about style violations or potential issues

Example bad code review comments to avoid:

This TODO comment is properly formatted with author and date - nice work!

Good addition of limit 1 to the query - this makes the test more efficient without changing its behavior.

The kondo ignore comment is appropriately placed here

Test name properly ends with -test as required by the style guide.

Special cases:

  • Do not post comments about missing parentheses (these will be caught by the linter)

Quick review checklist

Use this to scan through changes efficiently:

Naming

  • Descriptive names (no tbl, zs')
  • Pure functions named as nouns describing their return value
  • kebab-case for all variables and functions
  • Side-effect functions end with !
  • No namespace-alias repetition in function names

Documentation

  • Public vars in src or enterprise/backend/src have useful docstrings
  • Docstrings use Markdown conventions
  • References use [[other-var]] not backticks
  • TODO comments include author and date: ;; TODO (Name 2025-01-01) -- description

Code Organization

  • Everything ^:private unless used elsewhere
  • No declare when avoidable (public functions near end)
  • Functions under 20 lines when possible
  • No blank, non-comment lines within definition forms (except pairwise constructs in let/cond)
  • Lines ≤ 120 characters

Tests

  • Separate deftest forms for distinct test cases
  • Pure tests marked ^:parallel
  • Test names end in -test or -test-<number>

Modules

  • Correct module patterns (OSS: metabase.<module>.*, EE: metabase-enterprise.<module>.*)
  • API endpoints in <module>.api namespaces
  • Public API in <module>.core with Potemkin
  • No cheating module linters with :clj-kondo/ignore [:metabase/modules]

REST API

  • Response schemas present (:- <schema>)
  • Query params use kebab-case, bodies use snake_case
  • Routes use singular nouns (e.g., /api/dashboard/:id)
  • GET has no side effects (except analytics)
  • Malli schemas detailed and complete
  • All new endpoints have tests

MBQL

  • No raw MBQL manipulation outside lib, lib-be, or query-processor modules
  • Uses Lib and MBQL 5, not legacy MBQL

Database

  • Model and table names are singular nouns
  • Uses t2/select-one-fn instead of selecting full rows for one column
  • Logic in Toucan methods, not helper functions

Drivers

  • New multimethods documented in docs/developers-guide/driver-changelog.md
  • Passes driver argument to other driver methods (no hardcoded driver names)
  • Minimal logic in read-column-thunk

Miscellaneous

  • Example data is bird-themed when possible
  • Kondo linter suppressions use proper format (not #_:clj-kondo/ignore keyword form)

Pattern matching table

Quick scan for common issues:

Pattern Issue
calculate-age, get-user Pure functions should be nouns: age, user
update-db, save-model Missing ! for side effects: update-db!, save-model!
snake_case_var Should use kebab-case
Public var without docstring Add docstring explaining purpose
;; TODO fix this Missing author/date: ;; TODO (Name 2025-01-01) -- description
(defn foo ...) in namespace used elsewhere Should be (defn ^:private foo ...)
Function > 20 lines Consider breaking up into smaller functions
/api/dashboards/:id Use singular: /api/dashboard/:id
Query params with snake_case Use kebab-case for query params
New API endpoint without tests Add tests for the endpoint

Feedback format examples

For style violations:

This pure function should be named as a noun describing its return value. Consider user instead of get-user.

For missing documentation:

This public var needs a docstring explaining its purpose, inputs, and outputs.

For organization issues:

This function is only used in this namespace, so it should be marked ^:private.

For API conventions:

Query parameters should use kebab-case. Change user_id to user-id.

how to use clojure-review

How to use clojure-review on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add clojure-review
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/metabase/metabase --skill clojure-review

The skills CLI fetches clojure-review from GitHub repository metabase/metabase and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/clojure-review

Reload or restart Cursor to activate clojure-review. Access the skill through slash commands (e.g., /clojure-review) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.861 reviews
  • Ganesh Mohane· Dec 24, 2024

    Solid pick for teams standardizing on skills: clojure-review is focused, and the summary matches what you get after install.

  • Noor Desai· Dec 16, 2024

    clojure-review reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ama Tandon· Dec 16, 2024

    Registry listing for clojure-review matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Diya Johnson· Dec 8, 2024

    Registry listing for clojure-review matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nikhil Srinivasan· Dec 4, 2024

    Useful defaults in clojure-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dev Mensah· Nov 27, 2024

    Useful defaults in clojure-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noor Dixit· Nov 23, 2024

    Registry listing for clojure-review matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Rahul Santra· Nov 15, 2024

    We added clojure-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Mia Gill· Nov 7, 2024

    I recommend clojure-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ama Patel· Nov 7, 2024

    Useful defaults in clojure-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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