llm-council
Multi-LLM collaborative brainstorming and planning. Use when user explicitly requests consultation with multiple AI models (ChatGPT, Gemini, other LLMs) before presenting an implementation plan, or asks to "consult the council", "ask other models", or "get perspectives from other AIs". Queries external LLM APIs, synthesizes their perspectives, and presents an adapted implementation plan.
npx skills add majiayu000/claude-skill-registry --skill llm-council-gcpdev-llm-council-skill-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLM Council Consult multiple AI models (ChatGPT and Gemini) for their perspectives before presenting implementation plans to users. ## Workflow When user requests consultation with other AI models, use phrases like: - "Consult with ChatGPT and Gemini about..." - "Ask other AI models what they think about..." - "Get perspectives from the council on..." - "Consult the LLM council: [your question]" **Process:** 1. **Query external LLMs**: Run `scripts/query_llms.py` with the user's prompt to get perspectives from both ChatGPT and Gemini 2. **Analyze responses**: Review what each model suggests, identifying valuable insights, alternative approaches, and potential concerns 3. **Synthesize plan**: Create an implementation plan that incorporates the best ideas from all three models (Claude's own analysis + ChatGPT + Gemini) 4. **Present to user**: Show the final plan along with a brief summary of key contributions from each model ## Setup Requirements The skill requires API keys and optional model configuration stored in a `.env` file in the working directory: ``` OPENAI_API_KEY=sk-... GEMINI_API_KEY=... # Optional: Specify which models to use (defaults shown below) OPENAI_MODEL=gpt-5-n
- Workflow
- Setup Requirements
- Usage Example
- Output Format
- Error Handling
What does the llm-council skill do?
Multi-LLM collaborative brainstorming and planning. Use when user explicitly requests consultation with multiple AI models (ChatGPT, Gemini, other LLMs) before presenting an implementation plan, or asks to "consult the council", "ask other models", or "get perspectives from other AIs". Queries external LLM APIs, synthesizes their perspectives, and presents an adapted implementation plan.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm-council-gcpdev-llm-council-skill-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.