What is included in the Council Synthesis response?

The response includes individual sections for Codex and Gemini's output, followed by a synthesis that identifies agreements, differences, and a final recommendation.

What models does the Council Chat skill use?

It consults both Codex (GPT-5.2) and Google's Gemini model in parallel to provide a balanced technical perspective.

How do I trigger the council consultation?

You can trigger the skill using natural language phrases like 'ask council', 'council opinion', or 'ask both models' within your Claude Code environment.

Can I control the depth of the AI reasoning?

Yes, the skill automatically adjusts its reasoning effort to 'medium' for quick queries or 'xhigh' for thorough, deep analysis based on your prompt.

Does Council Chat have access to my local code?

Yes, the skill gathers relevant context by reading necessary files before sending the query to the models, ensuring the advice is project-specific.

Council Chat

Name: Council Chat
Author: kanlanc

bykanlanc

生产力与工作流

Orchestrates multi-model consultations by gathering perspectives from Codex and Gemini to provide synthesized AI analysis.

关于

Council Chat is a specialized Claude Code skill designed for high-level technical consultation and multi-perspective analysis. By simultaneously querying both Codex (GPT-5.2) and Gemini, the skill enables users to bypass single-model biases and obtain a more robust, cross-validated set of recommendations. It automatically handles context gathering, parallel model execution, and synthesizes the results into a structured format that highlights points of agreement and divergence, making it an essential tool for complex architectural decisions, deep technical debugging, and comprehensive code reviews.

主要功能

Structured synthesis of model agreement and divergence
Session ID tracking for auditability and reference
Dynamic reasoning levels from medium to extra-high
Automated context gathering from project files
Parallel execution of Codex (GPT-5.2) and Gemini queries
0 GitHub stars

使用场景

Comparing technical implementation strategies across different AI reasoning models
Obtaining a second opinion on complex software architectural patterns
Validating security or performance logic through multi-perspective analysis

关于

主要功能

Structured synthesis of model agreement and divergence
Session ID tracking for auditability and reference
Dynamic reasoning levels from medium to extra-high
Automated context gathering from project files
Parallel execution of Codex (GPT-5.2) and Gemini queries
0 GitHub stars

使用场景

Comparing technical implementation strategies across different AI reasoning models
Obtaining a second opinion on complex software architectural patterns
Validating security or performance logic through multi-perspective analysis