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Agenthub

by @alirezarezvani · plugin · 8 skills

Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:init, /hub:spawn, /hub:status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.

Install the whole plugin (CLI)
npx skillmds add alirezarezvani/run npx skillmds add alirezarezvani/eval npx skillmds add alirezarezvani/init npx skillmds add alirezarezvani/board npx skillmds add alirezarezvani/merge npx skillmds add alirezarezvani/spawn npx skillmds add alirezarezvani/status npx skillmds add alirezarezvani/agenthub
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Skills in this plugin

  1. run · alirezarezvani
    Execute the full AgentHub competition lifecycle in a single command: initialize, capture baseline, spawn agents, evaluate results, and merge the winner.
    20.4k
    repo stars
  2. eval · alirezarezvani
    Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
    20.4k
    repo stars
  3. init · alirezarezvani
    Create a new AgentHub collaboration session with task, agent count, and evaluation criteria for multi-agent competitions.
    20.4k
    repo stars
  4. board · alirezarezvani
    Read, write, and browse the AgentHub message board for agent coordination. Use when the user runs /hub:board or asks to post, read, or inspect coordination messages between competing AgentHub agents.
    20.4k
    repo stars
  5. merge · alirezarezvani
    Merge the winning agent's branch into the base branch, archive losing branches via git tags, and clean up worktrees after an AgentHub competition session.
    20.4k
    repo stars
  6. spawn · alirezarezvani
    Launch N parallel subagents in isolated git worktrees to compete on a session task.
    20.4k
    repo stars
  7. status · alirezarezvani
    Display DAG state, agent progress, and branch status for an AgentHub session.
    20.4k
    repo stars
  8. agenthub · alirezarezvani bundle
    Spawns multiple parallel AI agents that compete on the same task using isolated git worktrees, evaluates results, and merges the best solution.
    20.4k
    repo stars