GitHub 上 20 个现成 Grok Bot 团队配置
视频盘点 GitHub 上可直接复用的 Grok Bot 多代理配置:角色分工、互相派活、独立校验、交易台等,省去从零搭团队。
holy f*ck, most people are building Grok Bot teams from scratch. meanwhile, hundreds of ready-made setups are already sitting on GitHub for free. we're talking full AI teams with specialist roles, bots that delegate work to each other, independent verifiers that catch mistakes, and even multi-agent trading desks. and almost nobody is talking about this. that's the gap. 20 GitHub projects worth opening first: 01. grok-skills → 195 reusable playbooks for code review, debugging, research, planning, and shipping. a proven process instead of another vague instruction https://github.com/jaskirat1616/grok-skills 02. botteams → pick a company team and copy its installer prompt. it creates named bots, a group chat, and routines for your approval https://github.com/ellelion/botteams 03. grok-bot-templates → 49 templates, 10 teams, 47 skills, and 8 routines. each one defines the role, deliverable, and first task https://github.com/cobusgreyling/grok-bot-templates 04. hypergrok-trading-desk → 7 specialist bots and 17 skills for research, strategy testing, risk, and execution. trades need your approval https://github.com/galleonlabs/hypergrok-trading-desk 05. awesome-grokbot → a searchable index of public Grok Bot configs organized by job. find a setup that already works for your use case https://github.com/kydlikebtc/awesome-grokbot 06. grok-bot-profiles → Spec Writer, Bug Reproducer, PR Producer, and a separate PR Verifier, so the builder never approves its own work https://github.com/HAEGONG/grok-bot-profiles 07. root-agent-skill-framework → a coordinator that sizes the team to your request, creates specialists, and delegates to team leads https://github.com/MrBekoX/root-agent-skill-framework 08. grok-research → an equity research team with persistent researchers, scout reports, and a shared research database https://github.com/jaredtrichard/grok-research 09. rosterroom → 82 paste-ready team setups for founders, ops, security, finance, and research, each with roles and approval limits https://github.com/codejunkie99/rosterroom 10. grokbot-for-gtm → an outbound workflow connecting prospect research, email, LinkedIn, replies, and meetings. you approve the sends https://github.com/bcharleson/grokbot-for-gtm 11. grok-bot-token-saver → a chief-and-workers setup that swaps long old threads for compact role cards and clean handoffs https://github.com/Chakhdz/grok-bot-token-saver 12. gojiberryai-sales-os → 13 sales roles covering buying signals, research, copy, follow-ups, and pipeline analysis https://github.com/romangojiberryAI/gojiberryai-sales-os 13. crew-contract → a working agreement for agent teams: clear missions, named owners, evidence in handoffs, and a budget stop rule https://github.com/lsj210001/crew-contract 14. awesome-grokbot by mergisi → paste START.md into a setup bot and pick an engineering, sales, marketing, or ops team https://github.com/mergisi/awesome-grokbot 15. botskills → paste-ready BOT.md setups with required integrations and a clear line on what each bot must never do without you https://github.com/PramodDutta/botskills 16. grok-bot-cli → create bots and groups, send messages, and inspect threads from scripts, no manual token copying https://github.com/ScriptedAlchemy/grok-bot-cli 17. grok-bot-skill → let a coding agent list, message, and create Grok Bot teammates that are already running your workflows https://github.com/adamanz/grok-bot-skill 18. awesome-grok-bot by majiayu000 → another searchable catalog of public bot shares, team recipes, and setup guides https://github.com/majiayu000/awesome-grok-bot 19. akeru-bot → a self-hosted alternative with named teammates, per-bot tools, and memory on infrastructure you control https://github.com/opencoredev/akeru-bot 20. guaca → a desktop workspace where agents share conversations, delegate tasks, and use MCP tools. run it locally or on your server https://github.com/madebywelch/guaca how to get value from this: 1. pick one job you already understand 2. find a repo that matches it 3. connect only the tools it needs 4. test the first result before scheduling the code is free. running it still costs your plan, API usage, or hosting. the real advantage isn't 20 bots. it's specialists that check each other's work and know when to stop. the full course below shows how to put the workflow together ↓
这条是引用着另一条写的:x.com/s4yonnara/status/2107075754886345156