agenthub
Installation
SKILL.md
AgentHub — Multi-Agent Collaboration
Spawn N parallel AI agents that compete on the same task. Each agent works in an isolated git worktree. The coordinator evaluates results and merges the winner.
Slash Commands
| Command | Description |
|---|---|
/hub:init |
Create a new collaboration session — task, agent count, eval criteria |
/hub:spawn |
Launch N parallel subagents in isolated worktrees |
/hub:status |
Show DAG state, agent progress, branch status |
/hub:eval |
Rank agent results by metric or LLM judge |
/hub:merge |
Merge winning branch, archive losers |
/hub:board |
Read/write the agent message board |
/hub:run |
One-shot lifecycle: init → baseline → spawn → eval → merge |
Agent Templates
When spawning with --template, agents follow a predefined iteration pattern: