This Claude skill facilitates collaborative brainstorming by querying ChatGPT and Gemini, synthesizing their insights into comprehensive implementation plans. It targets users seeking to enhance technical decision-making and planning through diverse AI perspectives, offering more robust and well-rounded strategies.

How It Works

The skill prompts ChatGPT and Gemini for their input on technical challenges. It then analyzes these responses, identifies key contributions, and synthesizes a unified plan, explicitly attributing ideas to each AI model for transparency.

Quick Start & Requirements

• Installation: Upload the llm-council.skill file within Claude.
• Prerequisites: Requires OpenAI API keys (https://platform.openai.com/api-keys) and Google Gemini API keys (https://aistudio.google.com/app/apikey).
• Configuration: Create a .env file from .env.template, adding API keys. Model preferences (OPENAI_MODEL, GEMINI_MODEL) are configurable via environment variables.
• Model Options: Supports a range of OpenAI and Gemini models, from cost-effective (gpt-5-nano, gemini-2.5-flash-lite) to premium (gpt-5.2-pro, gemini-3-pro-preview), allowing tailored performance and cost.

Highlighted Details

• Multi-LLM Synergy: Integrates distinct AI models for diverse viewpoints.
• Synthesized Output: Delivers comprehensive plans by merging AI insights.
• Configurable AI Stack: Flexible model selection balances cost, speed, and reasoning.
• Transparent Attribution: Clearly credits contributions from each consulted LLM.

Maintenance & Community

No specific details regarding maintainers, community channels, or roadmap were provided in the README.

Licensing & Compatibility

The README does not specify a software license. This absence requires clarification regarding usage rights, modification permissions, and compatibility for commercial or closed-source integration.

Limitations & Caveats

• API Costs: Utilizes paid OpenAI and Gemini APIs; costs vary by model. Each consultation involves two API calls.
• API Reliability: Backend script has a 30-second timeout per API. Slow or unavailable external APIs may cause errors or incomplete responses.
• Partial Failures: If one LLM API fails, the skill proceeds with the available response, noting the unavailability.