agenthub

Featured

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.

AI & Automation 25,834 stars 3639 forks Updated 1 weeks ago MIT

Install

View on GitHub

Quality Score: 94/100

Stars 20%
100
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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...

Details

Author
alirezarezvani
Repository
alirezarezvani/claude-skills
Created
10 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

Integrates with

OpenAI · AI Anthropic · AI

Bundled in these plugins

claude-skills

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Listed

agenthub

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.

12 Updated 6 days ago
sinhoneyy
AI & Automation Listed

agent-orchestration

Coordinate multiple coding agents safely across host issues (GitHub or GitLab), git worktrees, dependency-aware execution, rebases, CI, and PR/MR handoff. Use when planning or running parallel implementation work across two or more issues or agents.

0 Updated 2 days ago
singleton-sd
AI & Automation Featured

agent-coordination

Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.

72,060 Updated today
ruvnet