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/critique

Comprehensive multi-perspective review using specialized judges with debate and consensus building

From plugin
context-engineering-kit
1.8k68 skills21 agents1 command

Claude Code

$ npx -y skills add NeoLabHQ/context-engineering-kit --skill critique --agent claude-code

SKILL.md

critique.SKILL.md
name: critique
description: Comprehensive multi-perspective review using specialized judges with debate and consensus building

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**:

   ๐Ÿ“‹ 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:
   โœ… [Met requirement 1]
   โœ… [Met requirement 2]
   โš ๏ธ [Partially met requirement 3] - [explanation]
   โŒ [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: {an
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A hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint, focused on improving agent result quality and predictability.

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Questions about critique.

Which coding agents can use critique?
critique installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.