X Mickey

Ai

[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 🆒