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
- Strict stage gates: complete each stage before starting the next.
- Iterative slices: deliver small end-to-end increments, with gates for each slice.
- Hybrid: complete discovery and design first, then build, verify, and ship in slices.
- Clone the repository:
- Start with 01-context-owner-orchestrator.md as the coordinating agent's instructions.
- Use the numbered files 02 through 23 as the specialist agents' instructions in your GrokBot environment.
- Adapt model and tool settings to your runtime, and supply the supporting resources listed below.
- 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
- 打开仓库:github.com/mr-dap-lab/startupswarm ↗
- 读 README,把仓库链接发给你的 Bot,让它按 README 复现
- 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