Agent skill · Code Review & Quality

brooks-lint

AI code reviewer grounded in classic software engineering books for catching design smells, coupling issues, and architectural risks.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill brooks-lint --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Declared author: hyhmrright
Path: skills/brooks-lint/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Brooks Lint ## Overview Brooks Lint is a Claude Code skill that reviews your code through the lens of 12 classic software engineering books. Instead of checking style rules, it asks: "What would the authors of *The Pragmatic Programmer*, *Clean Code*, and *Designing Data-Intensive Applications* say about this code?" It synthesizes the principles from landmark engineering books into actionable, structured feedback — catching design smells, tight coupling, missing abstractions, and architectural risks that linters and AI tools typically miss. Named after Fred Brooks, author of *The Mythical Man-Month* — because the hardest bugs are conceptual, not syntactic. ## The 12 Books | Book | Key Principles Applied | |------|----------------------| | *The Pragmatic Programmer* | DRY, orthogonality, tracer bullets | | *Clean Code* | Naming, function size, comment clarity | | *The Mythical Man-Month* | Conceptual integrity, second-system effect | | *Designing Data-Intensive Applications* | Data consistency, fault tolerance, scalability | | *A Philosophy of Software Design* | Deep modules, information hiding, complexity | | *Refactoring* | Code smells, extract method, encapsulation | | *Working

What's inside
Steps it walks through
  1. Overview
  2. The 12 Books
  3. When to Use This Skill
  4. How It Works
  5. Installation
  6. Examples
  7. Example 1: Review a Service Class
  8. Example 2: Full Codebase Architecture Review
  9. Example 3: Pre-Refactor Review
  10. Review Categories
  11. Best Practices
  12. Related Skills
  13. Additional Resources
  14. Limitations
Commands it runs
Install via Claude Code plugin marketplace
Or install via NPX (Antigravity)
npx agentic-awesome-skills --claude
Then invoke: @brooks-lint
More from agentic-awesome-skills
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About this skill
What does the brooks-lint skill do?

AI code reviewer grounded in classic software engineering books for catching design smells, coupling issues, and architectural risks.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill brooks-lint --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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