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Review

  • 35 installs
  • 217 repo stars
  • Updated March 19, 2026
  • poteto/noodle

review is a Claude Code skill for ai & agent building.

About

review is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • review
  • AI & Agent Building
  • AI-coding skill

Review by the numbers

  • 35 all-time installs (skills.sh)
  • Ranked #8,740 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/poteto/noodle --skill review

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Listed on Skillselion
Installs35
repo stars217
Last updatedMarch 19, 2026
Repositorypoteto/noodle

How do I helps with ai & agent building tasks.?

Helps with ai & agent building tasks.

Who is it for?

Best when you're working on ai & agent building and need structured help with review.

Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.

When should I use this skill?

When you need to helps with ai & agent building tasks., or when review is a claude code skill for ai & agent building.

What you get

Structured output aligned to review: review, AI & Agent Building.

Files

SKILL.mdMarkdownGitHub ↗

Review

Thorough, interactive review grounded in project principles. Do NOT make changes — the review is the deliverable.

Autonomous Session Mode

When this skill runs in a non-interactive Noodle execution session (for example Cook, Oops, or Repair):

  • Do not use AskUserQuestion. For each issue found, state the recommended action directly instead of presenting options.
  • Write findings to a report file at brain/audits/review-<date>-<subject>.md in addition to session output.
  • For high-severity issues, file a todo in brain/todos.md using the /todo skill.
  • For low-severity issues, note them in the report but don't file separate todos.
  • Conclude by committing the review report. Do not wait for direction.

Use Tasks to track progress. Create a task for each step below (TaskCreate), mark each in_progress when starting and completed when done (TaskUpdate). Check TaskList after each step.

Step 1 — Load Principles

Read brain/principles.md. Follow every [[wikilink]] and read each linked principle file. These principles govern review judgments — refer back to them when evaluating issues.

Do NOT skip this. Do NOT use memorized principle content — always read fresh.

Step 2 — Determine Scope

Infer what to review from context — the user's message, recent diffs, or referenced plans/PRs. If genuinely ambiguous (nothing to infer), ask.

Auto-detect review mode from change size:

  • BIG CHANGE (50+ lines changed, 3+ files, or new architecture) — all sections, at most 4 top issues per section
  • SMALL CHANGE (under those thresholds) — one issue per section

Step 3 — Gather Context

For SMALL CHANGE reviews, read files directly in the main context — delegation overhead exceeds the cost of reading a few files. For BIG CHANGE reviews, delegate exploration to subagents via the Task tool.

Spawn exploration agents (subagent_type: Explore) to:

  • Read the code or plan under review
  • Identify dependencies, callers, and downstream effects
  • Map relevant types, tests, and infrastructure

Run multiple agents in parallel when investigating independent areas.

Step 4 — Gather Domain Skills

Check installed skills (.claude/skills/) for any that match the review's domain. Common matches:

DomainSkillWhen
Frontend UIfrontend-designWeb UI components, layouts, visual design
Codex delegationcodexTasks delegated to Codex workers

For domains not listed above, use find-skills to search for a relevant skill.

Invoke matched skills now — read their output and use domain guidance to inform your review.

Step 5 — Review Sections

Work through all sections, then present the full review. The user can redirect mid-stream if needed.

1. Architecture

  • System design and component boundaries
  • Dependency graph and coupling
  • Data flow patterns and bottlenecks
  • Scaling characteristics and single points of failure
  • Security architecture (auth, data access, API boundaries)

2. Code Quality

  • Code organization and module structure
  • DRY violations — be aggressive
  • Error handling patterns and missing edge cases (call out explicitly)
  • Technical debt hotspots
  • Over-engineering or under-engineering relative to foundational-thinking principles; consider redesign-from-first-principles

3. Tests

  • Coverage gaps (unit, integration, e2e)
  • Test quality and assertion strength
  • Missing edge case coverage — be thorough
  • Untested failure modes and error paths

4. Performance

  • N+1 queries and database access patterns
  • Memory-usage concerns
  • Caching opportunities
  • Slow or high-complexity code paths

Step 6 — Issue Format

NUMBER each issue (1, 2, 3...). For every issue:

  • Describe the problem concretely with file and line references
  • Present 2–3 options with LETTERS (A, B, C), including "do nothing" where reasonable
  • For each option: implementation effort, risk, impact on other code, maintenance burden
  • Give a recommended option and why, mapped to foundational-thinking principles
  • Ask whether the user agrees or wants a different direction

When using AskUserQuestion, label each option with issue NUMBER and option LETTER. Recommended option is always first.

Interaction Rules

  • Do not assume priorities on timeline or scale
  • Do not make changes — present findings and wait for direction
  • Present all sections together, then ask for feedback once at the end
  • Per prove-it-works: if something can be tested, note how in the issue description

Related skills

FAQ

What does review do?

review is a Claude Code skill for ai & agent building.

When should I use review?

When you need to helps with ai & agent building tasks., or when review is a claude code skill for ai & agent building.

What are the main capabilities?

review; AI & Agent Building; AI-coding skill.

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