A skill to claude code that enables brainstorming with other LLMs (ChatGPT, Gemini) before presenting the implementation plan to the user
git clone https://github.com/gcpdev/llm-council-skill.gitA skill to claude code that enables brainstorming with other LLMs (ChatGPT, Gemini) before presenting the implementation plan to the user
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/gcpdev/llm-council-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a coordinator for a brainstorming session with other LLMs (ChatGPT, Gemini) to develop an implementation plan for [PROJECT]. First, gather ideas from each LLM on the best approach to [TASK]. Then, synthesize the most promising ideas into a cohesive plan. Finally, present the final implementation plan to me, including pros and cons of each approach.
# Implementation Plan for [PROJECT] ## Brainstorming Session Summary ### ChatGPT's Approach - **Pros**: Focuses on scalability and modularity. - **Cons**: Requires more initial setup time. ### Gemini's Approach - **Pros**: Emphasizes user experience and simplicity. - **Cons**: May need more maintenance over time. ## Synthesized Plan ### Recommended Approach A hybrid of both approaches, combining scalability with a user-friendly interface. ### Implementation Steps 1. **Initial Setup**: Spend 2 weeks on modular architecture. 2. **User Interface**: Allocate 3 weeks for UI/UX design. 3. **Testing**: Plan for 1 week of user testing and feedback. ### Pros and Cons - **Pros**: Balanced approach, scalable, user-friendly. - **Cons**: Slightly longer initial timeline.
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