neolabhq/context-engineering-kit/critique
- community
Checking that the SKILL.md file is still in the repository.
Comprehensive multi-perspective review using specialized judges with debate and consensus building
Install
npx vskill@latest install neolabhq/context-engineering-kit/critiqueSKILL.md
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:
- 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.)"
- Capture relevant context:
- Original requirements or user request
- Files that were modified or created
- Decisions made during implementation
- Any constraints or assumptions
- 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:
Judge 2: Solution Architect
Prompt for Agent:
Judge 3: Code Quality Reviewer
Prompt for Agent:
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:
- Synthesize the findings:
- Identify areas of agreement
- Identify contradictions or disagreements
- Note gaps in any review
- 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
- 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:
Important Guidelines
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/critique/SKILL.md
Popularity
- Repository stars
- 1,307
- Repository forks
- 137
- 7-day trend score
- 36
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 8 May 2026, 5 months ago.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/neolabhq/context-engineering-kit/critique)