LLM Council

Agent Building

Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis

QUICK START

How to use this skill

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Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/orchestration/llm-council-skill-shuntacurosu-llm-council-skill-d99d1ae2/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Overview

LLM Council is a Skill that organizes multiple LLMs as "council members" and generates high-quality responses through a 3-stage process.

Use Cases

When you need multiple perspectives for important decisions
When you want multiple AIs to review code
When comparing and evaluating design proposals
When you need objective responses with reduced bias

3-Stage Process

Stage 1: Opinion Collection - Each member (LLM) responds independently
Stage 2: Peer Review - Anonymized responses are mutually ranked
Stage 3: Synthesis - Chairman integrates all opinions and reviews into final response

Quick Start

# Basic question
python scripts/run.py council_skill.py "What's the optimal caching strategy?"

# With TUI dashboard
python scripts/run.py cli.py --dashboard "What's the optimal caching strategy?"

# Code fix (diff only)
python scripts/run.py council_skill.py --dry-run "Fix the bug in buggy.py"

# Auto-merge
python scripts/run.py council_skill.py --auto-merge "Add error handling"

Command Options

Option	Description
`--dashboard`, `-d`	TUI dashboard for real-time monitoring
`--worktrees`	Git worktree mode - each member works independently
`--dry-run`	Show diff without merging
`--auto-merge`	Auto-merge the top-ranked proposal
`--merge N`	Merge member N's proposal
`--confirm`	Show confirmation prompt before merge
`--no-commit`	Apply changes without staging
`--list`	Show conversation history
`--continue N`	Continue conversation N

Setup

Create scripts/.env to configure models
Install and configure OpenCode CLI
Run python scripts/run.py council_skill.py --setup for details

Resources

See README.md for more details.