常驻用量

抄作业 / 做成了什么 / Grok Bot

StartupSwarm — 23-role GrokBot startup team

标题与摘要为原文,未翻译。

做了什么
Markdown role pack for a 23-agent startup team designed for GrokBot (orchestrator + specialists; Miami Kickoff demo lineage).
场景
未归类
资料完整度
  • 作者与原链接有
  • 做了什么有
  • 来源原文摘录有
  • 截图 / 媒体来源未提供
  • 步骤 / 章节有
  • 提示词 / 配置原文来源未提供
  • 结果 / 数字来源未提供
  • 风险提示有
  • 相关条目有

— 表示来源没有给出,本站不补写。

来源原文摘录
A startup team of 23 AI agent roles, designed for use with GrokBot.
RongleCat/awesome-grok-bot (GitHub) · 打开原文 ↗

摘自项目 README,照录原文,未翻译。

来源里的步骤 / 要点
  1. Strict stage gates: complete each stage before starting the next.
  2. Iterative slices: deliver small end-to-end increments, with gates for each slice.
  3. Hybrid: complete discovery and design first, then build, verify, and ship in slices.
  4. Clone the repository:
  5. Start with 01-context-owner-orchestrator.md as the coordinating agent's instructions.
  6. Use the numbered files 02 through 23 as the specialist agents' instructions in your GrokBot environment.
  7. Adapt model and tool settings to your runtime, and supply the supporting resources listed below.
  8. Give the orchestrator a product brief with your target users, problem, constraints, and measurable goals. Choose a workflow model at kickoff.

照录来源原文,未翻译。

提示词

来源没有给出可直接复制的提示词原文。

怎么复制
  1. 打开仓库:github.com/mr-dap-lab/startupswarm ↗
  2. 读 README,把仓库链接发给你的 Bot,让它按 README 复现
  3. 先在小范围跑通,再加 routine
风险与限制
  • 多个 Bot 并行:额度按 Bot 数叠加,先合并职责相近的 Bot
  • 作者的结果不保证能复现,以原帖为准
用量预估
用金属计算器估一下