Claude Code Skill /council Runs Prompts Across 4 AI Models in Parallel

✍️ OpenClawRadar📅 Published: April 2, 2026🔗 Source
Claude Code Skill /council Runs Prompts Across 4 AI Models in Parallel
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A developer has built a Claude Code skill called /council that sends any prompt to four frontier AI models simultaneously, then uses the least biased model to synthesize a winning response with specific improvements from the others.

How It Works

When you type /council followed by a prompt in Claude Code (for example: /council should I add a freemium tier?), the skill:

  • Sends your prompt to GPT, Claude, Gemini, and Grok in parallel (takes about 7 seconds)
  • Uses Gemini to synthesize the results: picks the best response and lists specific improvements it would "steal" from the other three models
  • Shows all five outputs (four model responses plus the synthesis) inline and saves them to a file

Why Gemini Synthesizes

The creator chose Gemini as the synthesizer based on an LLMs-as-judges study that found:

  • GPT has 70% self-preference when judging
  • Claude is near-neutral (-0.83 percentage points bias)
  • Gemini is the least biased (-2.08 percentage points bias)
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Key Value: Winner + Delta Format

The real value comes from the "winner + delta" format. Instead of just saying "GPT's answer was best," the synthesis might say: "GPT wins, but steal the cost framing from Gemini and the architectural critique from Claude." This approach yields a better answer than any single model could produce alone.

In one test example shown in the source, Claude was the only model that identified a meta-failure — "you've added complexity without adding real safety" — while the other models only described symptoms. Claude described why the fix doesn't work.

The creator is asking other developers building multi-model Claude Code skills what workflows might benefit from getting four perspectives instead of one.

📖 Read the full source: r/ClaudeAI

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👀 See Also