deliberate
GitHub通过四轮多智能体辩论(独立分析、相互批判、修正立场、最终综合)对复杂议题进行深度探讨,旨在通过同行评审机制发现盲点、达成共识并评估置信度。
Trigger Scenarios
Install
npx skills add nicknisi/claude-plugins --skill deliberate -g -y
SKILL.md
Frontmatter
{
"name": "deliberate",
"description": "Have AI agents debate a topic through multiple rounds of critique and refinement",
"disable-model-invocation": true
}
Deliberation Mode
Agents critique each other's answers and refine through peer review.
Usage
/consultant:deliberate Should we use REST or GraphQL for our API?
/consultant:deliberate What's the best state management approach for this app?
How It Works
Deliberation runs in 4 rounds:
Round 1: Initial Perspectives
- Launch all 5 agents in parallel
- Each agent provides initial analysis independently
Round 2: Critique & Challenge
- Share all Round 1 responses with all agents
- Each agent reviews others' answers, points out errors/gaps/strengths
Round 3: Refinement
- Agents revise positions based on feedback
- Identify emerging consensus
Round 4: Final Synthesis
- Analyze convergence vs divergence
- Highlight consensus points
- Present unresolved disagreements with reasoning
- Rate confidence based on agent agreement
Execution
Round 1: Launch 5 agents in parallel using Task tool:
consultant:codex-researcherconsultant:gemini-researcherconsultant:grok-researcherconsultant:perplexity-researcherconsultant:claude-researcher
Prompt each: "Provide your initial analysis on: $ARGUMENTS"
Round 2: Launch 5 agents again with all Round 1 responses. Prompt: "Review these perspectives and critique them. Point out errors, gaps, and strong points."
Round 3: Launch 5 agents with all prior responses. Prompt: "Based on the critiques, refine your position. Acknowledge valid points, defend or modify your stance."
Round 4: Synthesize in the main session — identify convergence, note disagreements, provide confidence rating.
Version History
- c3164c9 Current 2026-07-24 21:10


