agenthub

# 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: | Template | Pattern | Use Case | |----------|---------|----------| | `optimizer` | Edit → eval → keep/discard → repeat x10 | Performance, latency, size | | `refactorer` | Restructure → test → iterate until green | Code quality, tech debt | | `test-writer` | Write tests → measure coverage → repeat | Test coverage gaps | | `bug-fixer` | Reproduce → diagnose → fix → verify | Bug fix approaches | Templates are defined in `references/agent-templates.md`. ## When This Skill Activates Trigger phrases: - "try multiple approaches" - "have agents compete" - "parallel optimization" - "spawn N agents" - "compare different solutions" - "fan-out" or "tourname...