Claude-skill-registry LLM Council

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

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/llm-council-skill-shuntacurosu-llm-council-skill" ~/.claude/skills/majiayu000-claude-skill-registry-llm-council && rm -rf "$T"

manifest: skills/data/llm-council-skill-shuntacurosu-llm-council-skill/SKILL.md

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.