agenthub

Topics in the source

• AgentHub — Multi-Agent Collaboration
• Slash Commands
• Agent Templates
• When This Skill Activates
• Coordinator Protocol
• 1. Init
• 2. Dispatch
• 3. Monitor

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. | 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 | | /hub-run | One-shot lifecycle: init → baseline → spawn → eval → merge | 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-temp

This is an excerpt. Refer to the complete source and its current requirements.