X Mickey

Ai

[X Mickey @XMickey39520]

@bot 太🆒

[X Mickey @XMickey39520]

赛博命理师

[X Mickey @XMickey39520]

woo

[Carnage @0xCarnagee]

holy f*ck... elon musk's team at spacexai just let me hire 146 AI employee - and payroll is $0

i hired all of them, this is my company now ↓

• office of the ceo (18): reads my slack, email and calendar before i wake up and tells me what actually matters

• finance (12): logs receipts from email, chases unpaid invoices, finds unused SaaS seats in Ramp

• personal (10): books apartment tours the minute a listing drops, catches school forms and pickup clashes

• sales (32): researches accounts overnight, writes outreach in my voice, places outbound calls

• marketing (26): watches reddit, hacker news and X for anyone mentioning my brand

• engineering (27): writes code, triages issues, chases CI

• design (14): cuts long recordings into captioned clips
• people (7): screens applicants and schedules interviews while i sleep

56 were built by the grok bot team at spacexai.
90 by builders like lenny rachitsky, cursor, claire vo and lauren tan

one of them drives my robot vacuum from chat

how to hire them:
1. open https://t.co/i6xuE2NqCP or https://t.co/kt0uT4gMQD
2. pick the job you hate most
3. hit "add to grok bot"
4. send it a first task in chat

[X Mickey @XMickey39520]

cool

[Gresham @Greshamtrade]

THIS IS A PURE F*CKING GOLD

beyond SpaceXAI’s 146 official templates for Grok Bot, there are another 624+ ready-made bots you can use completely FREE. and almost nobody knows they exist

full teams with specialist roles, bots that hand work to each other, separate verifiers that check the output, and entire multi-bot trading desks. all open source

20 GitHub projects worth opening first:

01 awesome-grokbot → a searchable index of public Grok Bot configurations, organized by job. find an existing setup instead of writing every instruction yourself
https://t.co/cK31BfIpWj

02 botteams → pick a company team and copy its installer prompt. it creates named bots, a group chat, and proposes routines for your approval
https://t.co/n11GpGjjYt

03 rosterroom → 82 paste-ready team setups covering founders, operations, security, finance, and research. each includes roles, a first assignment, and approval boundaries
https://t.co/UpbpyDF2Pj

04 grok-bot-profiles → Spec Writer, Bug Reproducer, PR Producer, and PR Verifier. the verifier works in a separate conversation so the builder doesn’t approve its own work
https://t.co/g9sHwUW4Bg

05 hypergrok-trading-desk → 7 specialist bots and 17 skills for market research, strategy testing, risk, execution, and review. starts with public data; trades require your approval
https://t.co/5xxbEtgWe3

06 root-agent-skill-framework → a coordinator that sizes the team your request needs, creates specialists, and delegates daily management to leads
https://t.co/h8cuQB53ZQ

07 awesome-grokbot by mergisi → paste START.md into a setup bot and choose an engineering, sales, marketing, success, operations, or personal team
https://t.co/g5BqnFCp0p

08 grok-bot-templates → 49 templates, 10 teams, 47 skills, and 8 routines. each setup defines the job, deliverable, boundaries, and first task
https://t.co/Y80HHXE9GM

09 botskills → paste-ready BOT.md setups with required integrations and a clear boundary: the action each bot must never take without you
https://t.co/ptkFVqGToz

10 grok-skills → 195 reusable playbooks for code review, debugging, research, writing, planning, and shipping. add a proven process instead of another vague instruction
https://t.co/2h4Oj71Ig1

11 crew-contract → a working agreement for bot teams: defined missions, named owners, evidence in handoffs, completion checks, and stopping when the budget runs out
https://t.co/Mp9CCKcfrV

12 grokbot-for-gtm → an outbound playbook that connects prospect research, email, LinkedIn, replies, and meeting tracking. bring your accounts and approve the sends
https://t.co/tVeOgybGbP

13 gojiberryai-sales-os → 13 sales roles covering buying signals, prospect research, enrichment, copy, follow-ups, qualification, and pipeline analysis through the GojiberryAI MCP
https://t.co/4L04IIX6ue

14 grok-research → an equity research team with persistent researchers, scout reports, reviewed views, and a shared research database. research stays separate from live trading
https://t.co/yV2l6eNXWJ

15 grok-bot-token-saver → a chief-and-workers setup that replaces dragging old conversations forward with short role cards and handoffs for the next session
https://t.co/VsmuOaP2t1

16 grok-bot-cli → create bots and groups, send messages, and inspect threads from scripts. it reuses your signed-in desktop session without manual token copying
https://t.co/sf5QajmPp2

17 grok-bot-skill → let a coding agent list, message, and create Grok Bot teammates, connecting development work with the bots already running your workflows
https://t.co/jdveNbl31H

18 awesome-grok-bot by majiayu000 → another searchable catalog of public bot shares, plus team recipes, setup guides, and community tools organized by job
https://t.co/s2JOnHHKqn

19 akeru-bot → a separate, self-hosted alternative with named teammates, per-bot tools, instructions, and memory. keep profiles and conversation history on infrastructure you control
https://t.co/o2PEKs9fcc

20 guaca → a separate desktop workspace where agents share conversations, delegate tasks, and use MCP tools. run the workspace locally or on your own server
https://t.co/QdbccKU5Ay

start with one job you already understand. read the setup, connect the tools it needs, and inspect the first result before scheduling it

the templates and source code are free. running them still uses your plan, APIs, or hosting

then make the team share findings instead of repeating research. keep handoffs short, preserve completed work, and give failed operations a stopping point

save this. your next useful bot might already be built

the article below breaks down 7 workflow changes to make that setup cheaper and get more finished work from the same budget ↓

[X Mickey @XMickey39520]

@Joesmithesus @KinGao476942 我刚刚也对呀，直接跟你的Grok bot说：“我看不到，请帮我打开就行了。”

[X Mickey @XMickey39520]

@ConnorTalksAI all

[Su @Sukiea1008]

竟然已经有人把一整套 Grok Bot 团队玩法开源了！你不需要再让一个聊天框包揽所有事了

你只对接一个主管
3-4 个专员负责干活
8 支现成团队，35 条复制即用的提示词

每条提示词同一套 7 段骨架
每份产出都落进共享文件夹
每个结果先验收，再交到你手上

对外的东西一律只出草稿
不会替你乱发邮件

学会带 agent 团队最快的方法，
就是先抄一支能跑的

完整手册在下面 ↓

[沐阳 @yyyole]

现在，用Opus 5.5做一个3D开放世界游戏，
就像一年前，用Nano banana生成美女图一样简单！

这是一个组合技：
Opus 5.5 + Blender + Tripo + Unreal Engine！

Opus 5.5： 编写游戏逻辑、生成脚本、调用工具，协调开发流程。
Tripo： 快速生成角色、建筑、道具、场景等 3D 资产。
Blender： 模型精修、骨骼绑定、动画处理、场景搭建。
Unreal Engine： 把所有资产和逻辑整合起来，变成真正可以探索、交互的游戏世界。

[X Mickey @XMickey39520]

@Csccbt5 加油

[米开朗基杨 @CarsonYangk8s]

99% 的人都不会用 Grok Bot！
官方下场教你如何跑几十个 Grok Bot 组成能自我迭代升级的团队
视频时长 1 个小时，非常干，一点稀的都没有，先码后看👀

[Snail @Cryptoxorz]

我把电脑里 8 个 Claude 做视频的 skills，做成了一支 100 秒的视频。片子本身也是 Claude 写代码做出来的，用的是其中第一个。

下面挨个说说它们各自适合干什么。

1. xilo-opus-video
最通用。给它一个想法、一篇文章或一支参考视频，它先出三套方案和预览，你选一套，它再做成片。
https://t.co/dBiKCQM9E3

2. lemo-opuscar
一本风格图册。43 种影片风格，油画厚涂、中国水墨、浮世绘、白板讲解……报出风格名，它照着做。每种风格都配了一支纯代码样片。
https://t.co/a2soExxRDQ

3. mg-styles-15
专做 MG 动态设计。15 种风格，每支 10 秒，附完整提示词和源码，连配乐都是用代码编的。
https://t.co/KYzQBZQWxZ

4. dashi-animationstyle
给口播配画面。15 到 60 秒的中文口播，自带 7 套画风（手绘笔记、复古报刊、黑底科技等），成片带字幕，能直接拖进剪映。
https://t.co/DssouHRLXC

5. huashu-art-motion
把美术史搬了进来。从洞穴壁画到像素游戏，35 种艺术风格都能动，另外还有 9 种解说动画的讲法。
https://t.co/0oZ7VTeVMR

6. wtt-code-animation-studio
从编剧开始。一个想法进去，剧本、分镜、可改的源码、带声音的成片一次交齐，沙画、粉笔、水彩这类画法也能做。
https://t.co/pn6BdVaDE2

7. video-shotcraft
专拍产品。把你的网页或前端项目做成带 2.5D 运镜的宣传片，自带 124 张镜头配方卡。
https://t.co/KzPD7xbCBA

8. archival-doc（我自己做的）
这一个不画画。它去找公有领域和 CC 授权的真实历史影像，核对素材许可，再剪成纪录片。

感谢各位开源作者！

[X Mickey @XMickey39520]

@Saccc_c 🆒

[Sac @Saccc_c]

花费16天，我用 Opus 5.5 将小王子的故事制作成了3D剧情游戏

结合Tripo+Blender，Opus 5.5 将小王子故事中的每一个星球变成了可探索的3D场景

希望大家能支持一手，后续会开源整个游戏，以及详细制作流程

Welcome to The Little Prince: Across the Stars✨：https://t.co/qr4wR0jLu3

[X Mickey @XMickey39520]

@bot

[Elon Musk @elonmusk]

Timing is everything

[Elon Musk @elonmusk]

Grok @Bot can help with complex taxes

[vincent @SPCX100T]

I built a @Grok @Bot that watches $SPCX on its own — fully automated, no manual work.

I’ve been running it for over a month and fine-tuned it several times. This version is very good.

Every weekday before the market opens, it scans filings, analyst moves, insider buying, X sentiment, Starlink licenses, and space policy. Then it posts a fixed-format brief with links to every source.

Swap the ticker you like or add as many tickers as you wanted → $TSLA, $INTC, $NVDA and others. Same bot, new target.

What this Bot will do:

• ⁠Monitors NASDAQ:SPCX (SpaceX) every weekday before market open

• ⁠Fixed-format morning brief, even on quiet days

• ⁠Tracks filings: 10-K, 10-Q, 8-K, 13D, 13F, Form 4

• ⁠Analyst upgrades, downgrades, and price target changes

• ⁠Insider buying clusters and named 13F moves

• ⁠X discussion volume and sentiment spikes

• ⁠Official posts from @elonmusk, @SpaceX, @spacexai, @grok, @bot

• ⁠Starlink licenses and spectrum approvals worldwide

• ⁠Space policy: NASA, Space Force, FCC, export controls

• ⁠AI and data center news affecting SpaceX

• ⁠Every item links back to its source

• ⁠Reports stay in chat — no emails, no spam

https://t.co/sgbpspekfB

[Aaron Levie @levie]

Cyber is going to be one of the biggest spaces for AI agents in the future.

Obviously the risks of software exploits and the attack surface area increases 100 fold due to the ability for agents to work through any crack to find what they’re looking for.

But this goes the other way as well. The ability to have agent swarms review every line of code, test any number of permutations of exploits, and research any incident faster than humans as they happen, will be a huge boost in how we secure systems in the future.

Cyber has always been a category where it’s hard to keep up with (and triage) all the incoming risks, alerts, and changes in the enterprise and across all system. You can never hire enough people or work through the backlog of all known risks. Agents actually give you a chance finally to have far better coverage of this.

This is going to be a huge opportunity as well because we’ll see plays at the labs, data providers, the layer of the network and firewall, identity, devices and endpoints, SDLC, and even how we protect our data in the enterprise. Lots of interesting dimensions to cyber at the moment.

[X Mickey @XMickey39520]

Cool

[X Mickey @XMickey39520]

@elonmusk @bot 🆒