Individual skill
agenthub
Use when a task should be attempted by several agents in parallel and the best result kept (code speed, copy variants, research angles). Spawns N agents in git worktrees, ranks results by metric or judge with result_ranker.py and merges the winner.
engineering/agenthub/skills/agenthub/SKILL.md
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- agentic-ai Repository topic
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SKILL.mdcore · 8,157 bytesSKILL.mdcore · 8,157 bytesSKILL.mdcore · 8,157 bytesSKILL.mdcore · 8,157 bytesreferences/agent-templates.mddoc · 7,805 bytesreferences/coordination-strategies.mddoc · 5,956 bytesreferences/dag-patterns.mddoc · 4,091 bytesscripts/board_manager.pyruns · 8,562 bytesscripts/dag_analyzer.pyruns · 8,942 bytesscripts/dry_run.pyruns · 11,419 bytesscripts/hub_init.pyruns · 8,538 bytesscripts/result_ranker.pyruns · 10,562 bytesscripts/session_manager.pyruns · 9,991 bytes
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# 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 |
| `/agenthub:spawn` | Launch N parallel subagents in isolated worktrees |
| `/hub-status` | Show DAG state, agent progress, branch status |
| `/agenthub:eval` | Rank agent results by metric or LLM judge |
| `/agenthub:merge` | Merge winning branch, archive losers |
| `/agenthub:board` | Read/write the agent message board |