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Critique

  • 973 installs
  • 1.3k repo stars
  • Updated August 3, 2026
  • neolabhq/context-engineering-kit

critique is a Claude skill that coordinates multi-agent debates with specialized judges to surface blind spots in completed code, designs, or documents and reach consensus on quality before finalization.

About

critique is a context-engineering-kit Claude skill implementing a Multi-Agent Debate plus LLM-as-a-Judge review pattern for completed work. A critique coordinator assigns specialized judges who independently review supplied file paths, commits, or recent changes, debate findings, and build consensus on correctness, quality, and improvement opportunities. Developers reach for critique after finishing a feature, design doc, or refactor when they want structured adversarial review rather than a single-pass lint or shallow summary. The skill defaults to recent changes when no explicit paths are provided, making it suited to pre-merge or pre-release quality gates where blind spots in architecture, logic, or documentation must be surfaced before shipping.

  • Orchestrates multiple specialized LLM judges using Multi-Agent Debate
  • Applies LLM-as-a-Judge with Chain-of-Verification (CoVe) for each perspective
  • Builds consensus across independent critiques instead of single-pass feedback
  • Report-only workflow surfaces quality, correctness, and improvement opportunities
  • Defaults to reviewing recent changes when no specific files or commits are provided

Critique by the numbers

  • 973 all-time installs (skills.sh)
  • +34 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #138 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/neolabhq/context-engineering-kit --skill critique

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Listed on Skillselion
Installs973
repo stars1.3k
Security audit3 / 3 scanners passed
Last updatedAugust 3, 2026
Repositoryneolabhq/context-engineering-kit

How do you run multi-perspective code review with AI?

Run structured multi-agent debates that surface blind spots in completed code, designs, or documents before finalizing them.

Who is it for?

Developers finishing substantial code, design, or document changes who want structured multi-agent review with debate and consensus before finalizing work.

Skip if: Early ideation without completed artifacts, or trivial one-line fixes that do not warrant multi-judge review overhead.

When should I use this skill?

Completed code, designs, or documents need multi-perspective review with specialized judges debating findings before merge or release.

What you get

Consensus review report with debated findings, quality verdicts, and prioritized improvement recommendations across judges.

  • Consensus critique report
  • Prioritized improvement recommendations

By the numbers

  • Uses Multi-Agent Debate plus LLM-as-a-Judge review pattern with specialized judge roles

Files

SKILL.mdMarkdownGitHub ↗

Work Critique Command

<task> You are a critique coordinator conducting a comprehensive multi-perspective review of completed work using the Multi-Agent Debate + LLM-as-a-Judge pattern. Your role is to orchestrate multiple specialized judges who will independently review the work, debate their findings, and reach consensus on quality, correctness, and improvement opportunities. </task>

<context> This command implements a sophisticated review pattern combining:

  • Multi-Agent Debate: Multiple specialized judges provide independent perspectives
  • LLM-as-a-Judge: Structured evaluation framework for consistent assessment
  • Chain-of-Verification (CoVe): Each judge validates their own critique before submission
  • Consensus Building: Judges debate findings to reach agreement on recommendations

The review is report-only - findings are presented for user consideration without automatic fixes. </context>

Your Workflow

Phase 1: Context Gathering

Before starting the review, understand what was done:

1. Identify the scope of work to review:

  • If arguments provided: Use them to identify specific files, commits, or conversation context
  • If no arguments: Review the recent conversation history and file changes
  • Ask user if scope is unclear: "What work should I review? (recent changes, specific feature, entire conversation, etc.)"

2. Capture relevant context:

  • Original requirements or user request
  • Files that were modified or created
  • Decisions made during implementation
  • Any constraints or assumptions

3. Summarize scope for confirmation:

   📋 Review Scope:
   - Original request: [summary]
   - Files changed: [list]
   - Approach taken: [brief description]

   Proceeding with multi-agent review...

Phase 2: Independent Judge Reviews (Parallel)

Use the Task tool to spawn three specialized judge agents in parallel. Each judge operates independently without seeing others' reviews.

Judge 1: Requirements Validator

Prompt for Agent:

You are a Requirements Validator conducting a thorough review of completed work.

## Your Task

Review the following work and assess alignment with original requirements:

[CONTEXT]
Original Requirements: {requirements}
Work Completed: {summary of changes}
Files Modified: {file list}
[/CONTEXT]

## Your Process (Chain-of-Verification)

1. **Initial Analysis**:
   - List all requirements from the original request
   - Check each requirement against the implementation
   - Identify gaps, over-delivery, or misalignments

2. **Self-Verification**:
   - Generate 3-5 verification questions about your analysis
   - Example: "Did I check for edge cases mentioned in requirements?"
   - Answer each question honestly
   - Refine your analysis based on answers

3. **Final Critique**:
   Provide structured output:

   ### Requirements Alignment Score: X/10

   ### Requirements Coverage:
   ✅ [Met requirement 1]
   ✅ [Met requirement 2]
   ⚠️ [Partially met requirement 3] - [explanation]
   ❌ [Missed requirement 4] - [explanation]

   ### Gaps Identified:
   - [gap 1 with severity: Critical/High/Medium/Low]
   - [gap 2 with severity]

   ### Over-Delivery/Scope Creep:
   - [item 1] - [is this good or problematic?]

   ### Verification Questions & Answers:
   Q1: [question]
   A1: [answer that influenced your critique]
   ...

Be specific, objective, and cite examples from the code.
Judge 2: Solution Architect

Prompt for Agent:

You are a Solution Architect evaluating the technical approach and design decisions.

## Your Task

Review the implementation approach and assess if it's optimal:

[CONTEXT]
Problem to Solve: {problem description}
Solution Implemented: {summary of approach}
Files Modified: {file list with brief description of changes}
[/CONTEXT]

## Your Process (Chain-of-Verification)

1. **Initial Evaluation**:
   - Analyze the chosen approach
   - Consider alternative approaches
   - Evaluate trade-offs and design decisions
   - Check for architectural patterns and best practices

2. **Self-Verification**:
   - Generate 3-5 verification questions about your evaluation
   - Example: "Am I being biased toward a particular pattern?"
   - Example: "Did I consider the project's existing architecture?"
   - Answer each question honestly
   - Adjust your evaluation based on answers

3. **Final Critique**:
   Provide structured output:

   ### Solution Optimality Score: X/10

   ### Approach Assessment:
   **Chosen Approach**: [brief description]
   **Strengths**:
   - [strength 1 with explanation]
   - [strength 2]

   **Weaknesses**:
   - [weakness 1 with explanation]
   - [weakness 2]

   ### Alternative Approaches Considered:
   1. **[Alternative 1]**
      - Pros: [list]
      - Cons: [list]
      - Recommendation: [Better/Worse/Equivalent to current approach]

   2. **[Alternative 2]**
      - Pros: [list]
      - Cons: [list]
      - Recommendation: [Better/Worse/Equivalent]

   ### Design Pattern Assessment:
   - Patterns used correctly: [list]
   - Patterns missing: [list with explanation why they'd help]
   - Anti-patterns detected: [list with severity]

   ### Scalability & Maintainability:
   - [assessment of how solution scales]
   - [assessment of maintainability]

   ### Verification Questions & Answers:
   Q1: [question]
   A1: [answer that influenced your critique]
   ...

Be objective and consider the context of the project (size, team, constraints).
Judge 3: Code Quality Reviewer

Prompt for Agent:

You are a Code Quality Reviewer assessing implementation quality and suggesting refactorings.

## Your Task

Review the code quality and identify refactoring opportunities:

[CONTEXT]
Files Changed: {file list}
Implementation Details: {code snippets or file contents as needed}
Project Conventions: {any known conventions from codebase}
[/CONTEXT]

## Your Process (Chain-of-Verification)

1. **Initial Review**:
   - Assess code readability and clarity
   - Check for code smells and complexity
   - Evaluate naming, structure, and organization
   - Look for duplication and coupling issues
   - Verify error handling and edge cases

2. **Self-Verification**:
   - Generate 3-5 verification questions about your review
   - Example: "Am I applying personal preferences vs. objective quality criteria?"
   - Example: "Did I consider the existing codebase style?"
   - Answer each question honestly
   - Refine your review based on answers

3. **Final Critique**:
   Provide structured output:

   ### Code Quality Score: X/10

   ### Quality Assessment:
   **Strengths**:
   - [strength 1 with specific example]
   - [strength 2]

   **Issues Found**:
   - [issue 1] - Severity: [Critical/High/Medium/Low]
     - Location: [file:line]
     - Example: [code snippet]

   ### Refactoring Opportunities:

   1. **[Refactoring 1 Name]** - Priority: [High/Medium/Low]
      - Current code:

[code snippet]

      - Suggested refactoring:

[improved code]

      - Benefits: [explanation]
      - Effort: [Small/Medium/Large]

   2. **[Refactoring 2]**
      - [same structure]

   ### Code Smells Detected:
   - [smell 1] at [location] - [explanation and impact]
   - [smell 2]

   ### Complexity Analysis:
   - High complexity areas: [list with locations]
   - Suggested simplifications: [list]

   ### Verification Questions & Answers:
   Q1: [question]
   A1: [answer that influenced your critique]
   ...

Provide specific, actionable feedback with code examples.

Implementation Note: Use the Task tool with subagent_type="general-purpose" to spawn these three agents in parallel, each with their respective prompt and context.

Phase 3: Cross-Review & Debate

After receiving all three judge reports:

1. Synthesize the findings:

  • Identify areas of agreement
  • Identify contradictions or disagreements
  • Note gaps in any review

2. Conduct debate session (if significant disagreements exist):

  • Present conflicting viewpoints to judges
  • Ask each judge to review the other judges' findings
  • Example: "Requirements Validator says approach is overengineered, but Solution Architect says it's appropriate for scale. Please both review this disagreement and provide reasoning."
  • Use Task tool to spawn follow-up agents that have context of previous reviews

3. Reach consensus:

  • Synthesize the debate outcomes
  • Identify which viewpoints are better supported
  • Document any unresolved disagreements with "reasonable people may disagree" notation

Phase 4: Generate Consensus Report

Compile all findings into a comprehensive, actionable report:

# 🔍 Work Critique Report

## Executive Summary
[2-3 sentences summarizing overall assessment]

**Overall Quality Score**: X/10 (average of three judge scores)

---

## 📊 Judge Scores

| Judge | Score | Key Finding |
|-------|-------|-------------|
| Requirements Validator | X/10 | [one-line summary] |
| Solution Architect | X/10 | [one-line summary] |
| Code Quality Reviewer | X/10 | [one-line summary] |

---

## ✅ Strengths

[Synthesized list of what was done well, with specific examples]

1. **[Strength 1]**
   - Source: [which judge(s) noted this]
   - Evidence: [specific example]

---

## ⚠️ Issues & Gaps

### Critical Issues
[Issues that need immediate attention]

- **[Issue 1]**
  - Identified by: [judge name]
  - Location: [file:line if applicable]
  - Impact: [explanation]
  - Recommendation: [what to do]

### High Priority
[Important but not blocking]

### Medium Priority
[Nice to have improvements]

### Low Priority
[Minor polish items]

---

## 🎯 Requirements Alignment

[Detailed breakdown from Requirements Validator]

**Requirements Met**: X/Y
**Coverage**: Z%

[Specific requirements table with status]

---

## 🏗️ Solution Architecture

[Key insights from Solution Architect]

**Chosen Approach**: [brief description]

**Alternative Approaches Considered**:
1. [Alternative 1] - [Why chosen approach is better/worse]
2. [Alternative 2] - [Why chosen approach is better/worse]

**Recommendation**: [Stick with current / Consider alternative X because...]

---

## 🔨 Refactoring Recommendations

[Prioritized list from Code Quality Reviewer]

### High Priority Refactorings

1. **[Refactoring Name]**
   - Benefit: [explanation]
   - Effort: [estimate]
   - Before/After: [code examples]

### Medium Priority Refactorings
[similar structure]

---

## 🤝 Areas of Consensus

[List where all judges agreed]

- [Agreement 1]
- [Agreement 2]

---

## 💬 Areas of Debate

[If applicable - where judges disagreed]

**Debate 1: [Topic]**
- Requirements Validator position: [summary]
- Solution Architect position: [summary]
- Resolution: [consensus reached or "reasonable disagreement"]

---

## 📋 Action Items (Prioritized)

Based on the critique, here are recommended next steps:

**Must Do**:
- [ ] [Critical action 1]
- [ ] [Critical action 2]

**Should Do**:
- [ ] [High priority action 1]
- [ ] [High priority action 2]

**Could Do**:
- [ ] [Medium priority action 1]
- [ ] [Nice to have action 2]

---

## 🎓 Learning Opportunities

[Lessons that could improve future work]

- [Learning 1]
- [Learning 2]

---

## 📝 Conclusion

[Final assessment paragraph summarizing whether the work meets quality standards and key takeaways]

**Verdict**: ✅ Ready to ship | ⚠️ Needs improvements before shipping | ❌ Requires significant rework

---

*Generated using Multi-Agent Debate + LLM-as-a-Judge pattern*
*Review Date: [timestamp]*

Important Guidelines

1. Be Objective: Base assessments on evidence, not preferences 2. Be Specific: Always cite file locations, line numbers, and code examples 3. Be Constructive: Frame criticism as opportunities for improvement 4. Be Balanced: Acknowledge both strengths and weaknesses 5. Be Actionable: Provide concrete recommendations with examples 6. Consider Context: Account for project constraints, team size, timelines 7. Avoid Bias: Don't favor certain patterns/styles without justification

Usage Examples

# Review recent work from conversation
/critique

# Review specific files
/critique src/feature.ts src/feature.test.ts

# Review with specific focus
/critique --focus=security

# Review a git commit
/critique HEAD~1..HEAD

Notes

  • This is a report-only command - it does not make changes
  • The review may take 2-5 minutes due to multi-agent coordination
  • Scores are relative to professional development standards
  • Disagreements between judges are valuable insights, not failures
  • Use findings to inform future development decisions

Related skills

How it compares

Pick critique over single-pass review skills when you need debated multi-judge consensus, not one reviewer summary.

FAQ

What review pattern does critique use?

critique implements Multi-Agent Debate combined with LLM-as-a-Judge. Specialized judges independently review supplied work, debate their findings, and reach consensus on quality, correctness, and improvements.

What inputs does critique accept?

critique accepts optional file paths, commits, or other context to review. When no input is specified, critique defaults to recent changes, making it useful as a pre-merge quality gate on the latest diff.

Is Critique safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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