Agent skill · Code Review & Quality

arch-review

Systematic review of existing architecture using ATAM-lite methodology. Evaluates architectural fitness against quality attribute scenarios, identifies risks, sensitivity points, tradeoffs, and anti-patterns. Produces structured review report with findings and recommendations.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill architecture-andreibesleaga-gabbe-6 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/architecture-andreibesleaga-gabbe-6/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# Architecture Review Skill ## Goal Evaluate an existing architecture for fitness against its stated requirements, identify risks and anti-patterns, and produce a structured review report with concrete recommendations. Based on ATAM (Architecture Tradeoff Analysis Method) adapted for single-agent use. --- ## When to Use - **Scenario 2 (Review existing)**: Architecture exists — documented or inferred from code. - Before major changes: "Is this architecture adequate for the new requirements?" - After significant growth: "Is this architecture still appropriate?" - Before technology migration: "What architectural problems must we solve?" - Due diligence: "Is this architecture sound before we commit to it?" --- ## Step 1 — Understand the Architecture Inputs ``` Gather before starting the review: Architectural artifacts (work with whatever exists): □ Architecture document, README, or description □ Diagrams (any level — C4, UML, whiteboard photo, etc.) □ Requirements, PRD, or feature descriptions □ Codebase structure (actual source of truth if docs are outdated) □ Deployment configuration (shows actual runtime structure) □ ADRs or documented decisions If artifacts are sparse or missing: →

What's inside
Steps it walks through
  1. Goal
  2. When to Use
  3. Step 1 — Understand the Architecture Inputs
  4. Step 2 — Reconstruct Architecture Description
  5. Step 3 — Quality Attribute Scenario Analysis (ATAM core)
  6. Step 4 — Identify Architecture Smells
  7. Step 5 — ATAM Analysis: Sensitivity Points and Tradeoffs
  8. Step 6 — Architecture Fitness Functions
  9. Step 7 — Recommendations
  10. Output Format
  11. Constraints
Ships with 1 file
  • metadata.json
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About this skill
What does the arch-review skill do?

Systematic review of existing architecture using ATAM-lite methodology. Evaluates architectural fitness against quality attribute scenarios, identifies risks, sensitivity points, tradeoffs, and anti-patterns. Produces structured review report with findings and recommendations.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill architecture-andreibesleaga-gabbe-6 --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 majiayu000/claude-skill-registry, a repository with 534 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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