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Agenthub

Plugin Verifiziert Aktiv

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.

8 Skills 0 MCPs

Zweck

To enable users to leverage multiple AI agents simultaneously to explore diverse solutions to a problem, evaluate their outcomes, and integrate the best result, significantly accelerating complex tasks like optimization or content creation.

Funktionen

Spawn N parallel agents in isolated Git worktrees
Orchestrate multi-agent workflows (init, spawn, eval, merge)
Evaluate results via configurable metrics or LLM judge
Merge best agent's work into base branch
Support for agent templates (optimizer, refactorer, etc.)
Git DAG orchestration and message board coordination

Anwendungsfälle

Optimize code performance by trying multiple approaches in parallel
Generate and compare competing content drafts (blog posts, marketing copy)
Explore diverse research strategies or solutions to a problem
Automate bug fixing by having agents compete on diagnosis and resolution

Nicht-Ziele

Directly executing arbitrary shell commands without a defined task
Replacing core Git functionality
Managing agent-specific dependencies outside of the worktree context
Performing tasks unrelated to multi-agent collaboration or optimization

Installation

Zuerst Marketplace hinzufügen

/plugin marketplace add alirezarezvani/claude-skills

/plugin install agenthub@claude-code-skills

Enthält 8 Erweiterungen

Skill (8)

Agenthub Skill

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.

Board Skill

Read, write, and browse the AgentHub message board for agent coordination.

100

Eval Skill

Evaluate and rank agent results by metric or LLM judge for an AgentHub session.

Init Skill

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria.

Merge Skill

Merge the winning agent's branch into base, archive losers, and clean up worktrees.

Run Skill

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.

Spawn Skill