Spawn Claude instances into a shared conversation room where they debate, disagree, and converge. Round-robin turns with parallel execution within each round.
Scanned 5/27/2026
Install via CLI
openskills install rhinehart514/founder-os---
name: model-chat
description: "Spawn Claude instances into a shared conversation room where they debate, disagree, and converge. Round-robin turns with parallel execution within each round."
user-invocable: true
allowed-tools:
- Read
- Agent
- Grep
- Glob
- Bash
effort: default
---
# /model-chat — Multi-Model Debate
Spawn 5 Claude Sonnet instances into a shared conversation room. They debate a problem across 5 rounds using round-robin turns (all agents respond in parallel each round, see full history). A synthesizer agent then merges the debate into a final answer.
$ARGUMENTS — the topic or problem to debate.
Optional:
- `agents=X` — number of agents (default 5)
- `rounds=X` — number of debate rounds (default 5)
## Why this works
Same model, slight framing variations = systematically different failure modes. Surfacing disagreements between instances is more valuable than any single instance's confident answers. Consensus across independent runs filters hallucinations, divergences reveal judgment calls.
## How it works
1. Parse the topic into a clear debate question
2. Spawn N agents (Sonnet) in parallel for round 1
3. Each round: all agents see full history, respond in parallel
4. After final round: synthesizer agent merges debate into answer
## Agent prompt (each round)
```
You are Agent [N] in a debate room.
Topic: [QUESTION]
Conversation so far:
[FULL HISTORY]
Respond with your position. Agree, disagree, or build on others. Be direct.
Under 150 words.
```
## Synthesizer prompt
```
Here is a debate between [N] agents across [R] rounds:
[FULL DEBATE]
Synthesize into a final answer. Note where they agreed, where they diverged, and your verdict.
```
## Output
Report directly:
- Agents: N
- Rounds: R
- Final synthesis from synthesizer
- Key agreements and disagreements
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.