| 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
- Parse the topic into a clear debate question
- Spawn N agents (Sonnet) in parallel for round 1
- Each round: all agents see full history, respond in parallel
- 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
