Get multi-model AI consensus on complex questions using Claude, Codex, and Gemini
View on GitHubmylukin/agent-council
agent-council
January 22, 2026
Select agents to install to:
npx add-skill https://github.com/mylukin/agent-council/blob/main/plugins/agent-council/skills/council-decision/SKILL.md -a claude-code --skill council-decisionInstallation paths:
.claude/skills/council-decision/# Council Decision Skill Get multi-model AI consensus on complex decisions using the agent-council's 3-stage voting pipeline. ## When to Use Automatically invoke this skill when facing: - **Architectural design decisions** that affect system structure - **Technology stack choices** with multiple valid options - **Implementation approach evaluation** for complex features - **Design pattern selection** when trade-offs are unclear - **Multi-step planning** for large tasks ## How It Works The skill runs the `agent-council` CLI which: 1. Sends your question to Claude, Codex, and Gemini 2. Each model provides an independent response 3. Models peer-rank each other's answers 4. A chairman synthesizes the final recommendation ## Usage When you encounter a complex decision point: 1. Formulate the question clearly 2. Run: `agent-council "your question here"` 3. Wait for the 3-stage pipeline to complete 4. Use the synthesized answer to guide implementation ## Example Questions - "What's the best way to implement real-time updates: WebSockets, SSE, or polling?" - "Should this service use SQL or NoSQL database?" - "What caching strategy would work best for this API?" - "How should we structure error handling in this module?" ## Prerequisites The `agent-council` CLI must be installed: ```bash npm install -g agent-council ``` ## Benefits - **Reduced bias**: Multiple AI models reduce single-model bias - **Diverse perspectives**: Different models have different strengths - **Quality ranking**: Peer evaluation identifies best answers - **Synthesized wisdom**: Chairman combines best insights