
review
Review plans and code changes. Walks Architecture → Code Quality → Tests → Performance, numbering issues with tradeoff options. Triggers: "review", "review this", "code review", "look over this", "check my changes", "audit", "critique", "what do you think", "sanity check".
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/poteto/noodle --skill review- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads review automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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>.mdin addition to session output. - For high-severity issues, file a todo in
brain/todos.mdusing the/todoskill. - 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:
| Domain | Skill | When |
|---|---|---|
| Frontend UI | frontend-design | Web UI components, layouts, visual design |
| Codex delegation | codex | Tasks 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
FAQ
What does the review skill do?
Review plans and code changes. Walks Architecture → Code Quality → Tests → Performance, numbering issues with tradeoff options. Triggers: "review", "review this", "code review", "look over this", "check my changes", "audit", "critique", "what do you think", "sanity check".
How do I install review?
Run npx skills add https://github.com/poteto/noodle --skill review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/review/ (personal) or .claude/skills/review/ (project).
Which AI agents can use review?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is review safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains review?
It is published by poteto in poteto/noodle. It has 230 recorded installs.
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