smithery.ai

council-decision

Get multi-model AI consensus on complex questions using Claude, Codex, and Gemini

First seen Apr 6, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,743 B
  • docs SUMMARY.md 105 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

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:

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