hrconsultnj

hrconsultnj / composure

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Claude Code plugin — code quality hooks, knowledge graph, impact-aware reviews, decomposition enforcement. Babysitter for your AI's code quality.

github.comhrconsultnjcomposure#readme ai-tools claude-code claude-code-plugin code-quality code-review
17
1
100% credibility
Found Mar 23, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A Claude Code plugin that automates code quality enforcement, architectural guidance, impact analysis via a local code graph, and task management for decomposition and reviews.

How It Works

1
🔍 Discover Composure

You find this helpful plugin in the Claude Code marketplace while looking for ways to keep your code clean and organized.

2
📥 Install the Plugin

With a simple command, you add it to your coding setup and restart Claude Code to get started.

3
🚀 Set Up Your Project

Run the init command in your project, and it automatically detects your code style, creates guides, and builds a map of your codebase.

4
🛡️ Write Better Code Automatically

As you edit files, smart checks block quick fixes like type shortcuts and log tasks for big files or repeated types, keeping everything tidy.

5
🔍 Review Changes Smartly

Use review commands to see what your changes affect, get suggestions, and process tasks like splitting large sections.

✅ Enjoy Clean, Maintainable Code

Your project stays composed and scalable, with a prioritized list of improvements and confidence in every commit.

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AI-Generated Review

What is composure?

Composure is a TypeScript plugin for Claude Code CLI and desktop that acts as a babysitter for AI-generated code, enforcing decomposition rules, blocking type-casting band-aids like "as any," and maintaining a persistent knowledge graph for impact-aware reviews. Install it free via `claude plugin install composure`, run `/composure:init` to build your codebase graph, and use skills like `/composure:review-pr` or `/composure:decomposition-audit` to catch monolithic files or large functions. It solves the chaos of unchecked AI coding by automating quality gates through hooks and a severity-sorted task queue.

Why is it gaining traction?

Unlike generic linters, it hooks directly into Claude Code workflows—command scripts on session start, agent verifiers pre-commit, prompt reviews pre-write—delivering graph-powered blast-radius analysis via GitHub-integrated MCP tools. Developers notice instant wins: no more surprise refactors from untracked dependencies, auto-tasking for oversized components, and pro patterns for multi-tenant apps (Pro at $39 one-time). The free tier covers hooks, graph, and 15+ reference docs, making it a low-friction upgrade for Claude Code users.

Who should use this?

TypeScript frontend devs building React/Next.js apps with TanStack Query, tired of debugging AI-spawned monoliths or duplicated types in monorepos. Ideal for solo founders or small teams using Claude Code CLI for rapid prototyping, needing enforced size limits on pages/hooks and GitHub code review context without manual setup. Skip if you're not in the Claude ecosystem or prefer Copilot-style integrations.

Verdict

Worth a test install for Claude Code users—solid docs and cross-platform graph make it production-ready despite 17 stars and 1.0% credibility score signaling early maturity. Go Pro for commercial data architecture if it clicks; otherwise, free version enforces discipline effectively.

(198 words)

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