Claude-skill-registry council-decision

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

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/council-decision" ~/.claude/skills/majiayu000-claude-skill-registry-council-decision && rm -rf "$T"
manifest: skills/data/council-decision/SKILL.md
source content

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