moa
Installation
SKILL.md
Mixture of Agents
Several proposers answer the same task without seeing each other. One aggregator reads every proposal and writes the final answer. The gain comes from a strong aggregator that can read several good attempts; it fades when weak proposals dilute the pool.
You are the aggregator unless the user names another model for that seat.
Arguments
Read these from what the user typed after the skill name. Anything not given takes its default.
| Argument | Default | Example |
|---|---|---|
| Task | The task under discussion in this conversation | review this branch, why does login hang |
| Mode | From the table in step 2 | pick, critique |
| Proposers | Step 3 | with grok, gpt, opus, 5 proposers |
| Aggregator | You | aggregate with gpt-5.5 |
| Rounds | 1 | 2 rounds, or "deeper". Never more than 2. |