council

Dispatch questions to multiple LLMs for parallel consensus analysis.

10|1|Updated Jun 29, 2026

Search Tags:#analysis #llm #strategy #decision-making #critique #second-opinion

Ready to run

npx skills add https://github.com/mishahanin/heading-os --skill council-mishahanin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: council
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/council
Command: npx skills add https://github.com/mishahanin/heading-os --skill council-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of cognitive bias and "echo chambers" in decision-making by providing independent, parallel perspectives from multiple AI models to stress-test your logic or draft.

Core Features & Use Cases

Independent Reasoning: Dispatches your question to multiple models (Kimi, Gemini, Grok) simultaneously to get fresh, unbiased viewpoints.
Critique Mode: Stress-tests your drafts, proposals, or messages by identifying flaws and risks before you ship them.
Use Case: Use this when you are facing a high-stakes business decision and want to see if different models with different training pedigrees reach the same conclusion or identify different risks.

Quick Start

Consult the council on the current strategy by typing /council followed by your question or draft.

Frequently Asked Questions about council

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I get independent second opinions from multiple LLMs for decision-making?▼

To get independent second opinions for decision-making, this Skill dispatches your query to multiple LLMs in parallel, collecting fresh viewpoints to stress-test your logic and mitigate cognitive bias.

Can I use parallel reasoning to critique a draft proposal before shipping it?▼

Yes, you can critique a draft proposal by dispatching it to multiple models simultaneously to identify flaws and risks, providing independent review before you ship your high-stakes messages.

Do I need a specific API key to run cross-model consensus analysis?▼

Yes, running cross-model consensus analysis requires a configured CLIPROXY_API_KEY and access to internal model-consultation scripts to execute parallel model dispatch and transcript logging.

What is the best way to stress-test high-stakes business strategy using multiple AI models?▼

The best way to stress-test high-stakes business strategy is using parallel reasoning across multiple AI models with different training pedigrees to identify if they reach the same conclusion or spot different risks.

Does this parallel reasoning approach work with Python3 for complex business scenarios?▼

Yes, this parallel reasoning approach for complex business scenarios works with Python3, utilizing scripts to orchestrate parallel model dispatch and facilitate strategic review across multiple LLMs.