Claude Code · Community plugin

Agenthub

Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.

alirezarezvani/claude-skillsexpandedInstallableplugin

What this plugin covers

This page keeps a stable Remote OpenClaw URL for the upstream pluginwhile preserving the original source content below. The shell stays consistent, and the body can vary as much as the upstream SKILL.md or README varies.

Source files and registry paths

Source path

engineering/agenthub

Entry file

Not available

Manifest file

engineering/agenthub/.claude-plugin/plugin.json

Repository

alirezarezvani/claude-skills

Format

json-plugin

Original source content

Raw file
# AgentHub — Claude Code Instructions

This plugin enables multi-agent collaboration. Spawn N parallel subagents that compete on the same task, evaluate results, and merge the winner.

## Commands

Use the `/hub:` namespace for all commands:

- `/hub:init` — Create a new collaboration session (task, agent count, eval criteria)
- `/hub:spawn` — Launch N parallel subagents in isolated worktrees (supports `--template`)
- `/hub:status` — Show DAG state, agent progress, and branch status
- `/hub:eval` — Rank agent results by metric or LLM judge
- `/hub:merge` — Merge the winning branch, archive losers
- `/hub:board` — Read/write the agent message board
- `/hub:run` — One-shot lifecycle: init → baseline → spawn → eval → merge

## How It Works

You (the coordinator) orchestrate N subagents working in parallel:

1. `/hub:init` — define the task, number of agents, and evaluation criteria
2. `/hub:spawn` — launch all agents simultaneously via the Agent tool with `isolation: "worktree"`
3. Each agent works independently in its own git worktree, commits results, writes to the board
4. `/hub:eval` — compare results (run eval command per worktree, or LLM-judge diffs)
5. `/hub:merge` — merge the best branch into base, tag and archive the rest

## Key Principle

**Parallel competition. Immutable history. Best result wins.**

Agents never see each other's work. Every approach is preserved in the git DAG. The coordinator evaluates objectively and merges only the winner.

## Agents

- **hub-coordinator** — Dispatches tasks, monitors progress, evaluates results, merges winner. This is YOUR role as the main Claude Code session.

## Branch Naming

```
hub/{session-id}/agent-{N}/attempt-{M}
```

## Message Board

Agents communicate via `.agenthub/board/` markdown files:
- `dispatch/` — task assignments from coordinator
- `progress/` — status updates from agents
- `results/` — final result summaries from agents

## When to Use

- User says "try multiple approaches" or "have agents compete"
- Optimization tasks where different strategies might win
- Code generation where diversity of solutions helps
- Competing content drafts — 3 agents write blog posts or landing page copy, LLM judge picks best
- Research synthesis — agents explore different source sets or analytical frameworks
- Process optimization — agents propose competing workflow improvements
- Feature prioritization — agents build different RICE/ICE scoring models
- Any task that benefits from parallel exploration

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