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世界上前20的Skill必装榜！ 1、superpowers（by obra），当时星标 30.2 万 它把开发拆成四步：头脑风暴、写计划、测试驱动、代码审查，串成一套开发流程。做中大型功能之前装上，AI 不会一上来就乱写代码。 2、skills（by mattpocock），当时星标 29.8 万 需求说不清的时候，它会反过来追问你，再帮你理清架构。排查 bug、重构老项目，用它最顺手。 3、andrej-karpathy-skills（by multica-ai），当时星标 22.1 万 一份项目规则：AI 先想清楚再动手，只改该改的地方。放进项目根目录，写代码时就生效。 4、skills（by anthropics），当时星标 18.2 万 官方技能库，Word、PPT、表格和 PDF 都能直接做。想自己写 Skill，照着它的模板改就行。 5、ponytail（by DietrichGebert），当时星标 16.8 万 让 AI 像最懒的资深工程师一样思考：能不加的抽象就不加。代码写完让它过一遍，把过度设计和技术债挑出来。 6、ui-ux-pro-max-skill（by nextlevelbuilder），当时星标 13.8 万 整套配色、字体搭配和交互规范都在里面。做落地页、后台和 APP 界面之前装上，页面更像设计师做的。 7、graphify（by Graphify-Labs），当时星标 12.9 万 把代码、文档和数据库结构转成一张知识图谱。接手陌生项目时先建图，再问"这个函数被谁调用"，一查就清楚。 8、caveman（by JuliusBrussee），当时星标 11.4 万 让 AI 用最少的字回答，啰嗦的铺垫全删掉。长时间跑 agent 的时候装上，能省下一大截 token。 9、agent-skills（by addyosmani），当时星标 10.9 万 谷歌工程师整理的工程规范，覆盖接口设计、上下文管理和质量检查。团队一起写项目，用它统一写法。 10、taste-skill（by LeonxLnx），当时星标 9.9 万 给 AI 补上审美：排版、参考图和动效都有讲究。做官网首页和作品集的时候用，页面不再像套模板。 11、Understand-Anything（by Egonex-AI），当时星标 8.7 万 把代码变成能点开的交互图谱，还会讲清楚业务流程。新人上手项目、读开源代码，最省时间。 12、impeccable（by pbakaus），当时星标 8.3 万 专门提升 AI 的设计能力，会检查间距、层级和细节。页面做完先让它审一遍，再按建议打磨。 13、awesome-claude-skills（by ComposioHQ），当时星标 7.7 万 一份技能合集，按场景收录了八百多个 Skill。不知道该装什么，先来这里挑。 14、last30days-skill（by mvanhorn），当时星标 6.5 万 它会去 Reddit、X 和 YouTube，汇总最近 30 天的讨论。 做选题、追热点、调研同类产品的时候用。 15、humanizer（by blader），当时星标 5.9 万 专门去掉文字里的 AI 痕迹，比如套话和固定句式。公众号、口播稿和邮件写完，都可以让它过一遍。 16、diagram-design（by cathrynlavery），当时星标 5.8 万 支持四十多种图表，直接输出成网页文件。写技术文档、做方案汇报，用它画架构图和流程图。 17、i-have-adhd（by ayghri），当时星标 5.8 万 让 AI 先说结论和下一步，再给细节，不把答案埋在长段落里。问技术问题、想马上拿到结果，就装它。 18、marketingskills（by coreyhaines31），当时星标 5.6 万 覆盖文案、SEO 和数据分析这些营销技能。写推广文案、提升网站搜索排名的时候用。 19、academic-research-skills（by Imbad0202），当时星标 5.3 万 从查文献、写论文到模拟审稿，一条流程串起来。写毕业论文、投期刊之前都能用。 20、scientific-agent-skills（by K-Dense-AI），当时星标 5.3 万 让 AI 变成科研助手，接入生物、化学这些领域的数据库和工具。做实验分析、查专业资料的时候用。

What we shipped this week @google Monday: Two new 8th-gen TPUs Tuesday: Gemini 4 Carbon - AlphaProof Code verified Signal protocol - Gemini Robotics 2.5 Wednesday: AlphaGenome 2 for disease research - Gemini Decisions API in AI Studio Thursday: Gemini 4 Hydrogen - intelligent eyewear pre-orders Friday: U2 new album (ok not us but exciting!) onwards!

Exciting Claude Duet update: every Pro, Max and Ultra subscriber in the US who was on the waitlist as of yesterday has now been invited. Thank you for your patience! If you haven’t joined yet, the waitlist is here: We also wanted to share a note on usage. To give you room to play with Claude Duet, the research preview comes with limit resets: 3 for Pro, 1 for Max and Ultra. Please check your inbox, give Claude Duet a try, and keep the feedback coming. We’re aiming to open up to more countries outside the US very soon.

Safety evaluations are critical for understanding whether a model is ready to deploy, which safeguards to build for it, and where to focus training and research. On our Engineering Blog, we offer 10 recommendations for how to design, run and report them.

🚀 $TART HOLDERS, THIS COULD BE AN OPPORTUNITY! 🍒 The market is bleeding, but builders are still building. Sometimes, the biggest opportunities appear when the market is at its weakest. While others are panicking, keep your eyes on what @notralbnb is cooking behind the scenes. $TART is more than just a token; there's an ecosystem being built, with staking, farming and long-term plans in motion. If you've done your research and believe in the vision, this dip might be an opportunity to strengthen your bag. Stay focused. Think long-term. Don't let market fear make your decisions. Something is cooking, and Notralbnb might just have more surprises for the $TART community. WE ARE EARLY! $TART 🍒

50 Sites That Show What Billionaires Buy and Read for Free🤯 1.) → Current portfolios of famous investors 2.) → Quarterly fund trades 3.) → Stock transactions of US politicians 4.) → Executives' own company stocks 5.) → Making fund filings readable 6.) → Companies' official reports 7.) → Buffett's letters since 1977 8.) → Video archive of Buffett meetings 9.) → Howard Marks' investor memos 10.) → Research from Ray Dalio's firm 11.) → Dalio's principles for free 12.) → Jeremy Grantham's market notes 13.) → Quantitative fund research 14.) → Damodaran's valuation data 15.) → Valuation professor's blog 16.) → Morgan Housel's money writings 17.) → Mental models for decision-making 18.) → JPMorgan's free market guide 19.) → Innovation-focused fund research 20.) → Venture capital essays 21.) → Value investing lecture notes 22.) → Columbia's value investing archive 23.) → Fed's economic data archive 24.) → Fed decisions and statements 25.) → European Central Bank data 26.) → Reports from the central bank of central banks 27.) → Countries' economic indicators 28.) → Companies' long-term charts 29.) → Company financials for free 30.) → Companies' market cap rankings 31.) → Stock screener and heat map 32.) → Portfolio backtesting 33.) → Charts and market analysis 34.) → Professional market screener 35.) → Company activity reports archive 36.) → SEC's investor education site 37.) → Passive investing encyclopedia 38.) → Financial terms dictionary 39.) → Free finance guides 40.) → CFA research publications 41.) → Fund and stock evaluations 42.) → Companies' visual analysis 43.) → Archive of selected investment theses 44.) → Seeing what's inside funds 45.) → European fund backtests 46.) → Investment writings with data 47.) → Market history notes 48.) → Investor psychology writings 49.) → Explaining the economy with charts 50.) ourfiniteworld? → (see note) The rich don't hoard information. They just don't tell you where it is. Save it, follow @Liyana_Coder you'll need it. Not investment advice. @Liyana_Coder

YOUR AI ASSISTANT CAN NOW FIND ANYONE'S EMAIL AND PHONE NUMBER wiza plugged 800M+ contacts into grok, claude, chatgpt and any mcp client the best b2b contact data for sales and marketing - now one prompt away you type who you need, it comes back with names, work emails and phone numbers here's how to put wiza mcp into a real workflow: > find new leads "find vps of sales at us software companies with 51-200 employees" your icp turns into a list of real people > map the account "get company info for [company], then find its sales leaders" you know the whole buying committee before the first call > enrich before you reach out "find the work email and phone number for [name] at [company]" no more jumping between linkedin and 5 tabs > source candidates "find senior backend engineers in seattle with available work emails" a recruiting pipeline without a sourcing agency > build a marketing list "save these prospects as conference follow-up and find their work emails" wiza saves the list and finds the emails in the background > chain it search companies, find the decision makers, enrich them, save the list one conversation instead of an afternoon of manual research setup: 1. add to your ai assistant 2. sign in with your wiza account 3. ask for what you need building your own tools? the same data is in the wiza api start here ↓

GCSA Insight: Critical Security Vulnerability Discovered in a Leading Robotics Manufacturer’s Product, with System-Level Privilege Compromise Verified on Physical Hardware As artificial intelligence and embodied AI technologies continue to advance, robots are evolving from conventional automated machines into intelligent systems capable of perception, decision-making, and autonomous operation. At the same time, cybersecurity risks are extending beyond software and data into the physical world. The security of robotic systems is no longer solely a matter of protecting data and devices; it can also directly affect operational safety, physical environments, and user safety. Recently, the security research team of the Global Cybersecurity Alliance (GCSA) discovered and verified a critical security vulnerability in a product developed by a leading robotics manufacturer. Through in-depth analysis and multiple rounds of testing on physical hardware, the team successfully breached the device’s system security boundaries and obtained the highest level of operating system privileges in a real-world device environment, demonstrating the vulnerability’s actual impact under specific testing conditions. This research encompassed the entire process, from identifying the security flaw and assessing its risks to validating its impact on physical hardware. The findings also highlight significant challenges facing the underlying security mechanisms of embodied AI systems. The research findings and supporting evidence have been formally submitted to the manufacturer. On November 13, 2026, the manufacturer responded by email, preliminarily confirming the existence of the vulnerability and stating that it had initiated internal remediation efforts and an assessment of the scope of affected products. It is important to emphasize that confirmation of a vulnerability does not mean the associated security risks have been eliminated. GCSA will continue to monitor the manufacturer’s assessment of the affected scope, remediation plans, and subsequent security validation, and will update its research findings as new information becomes available. For intelligent systems capable of physical interaction and movement, timely, effective, and verifiable security remediation is particularly important. In accordance with responsible vulnerability disclosure principles, GCSA is currently withholding sensitive information, including the manufacturer’s identity, specific product details, the vulnerability’s underlying mechanisms, and exploitation methods. GCSA is currently seeking guidance from relevant authorities and regulatory bodies regarding the associated security risks. Taking into account the manufacturer’s remediation progress and a comprehensive assessment of potential security implications, GCSA will carefully determine the appropriate arrangements for further disclosure. Subject to appropriate conditions and upon obtaining the consent of the relevant authorities and regulatory bodies, GCSA will publicly release a detailed security insight report, providing the industry with ongoing updates on the research findings and associated risk assessments. The findings of this research are based on specific testing environments and the evidence obtained to date. They do not imply that other product models or similar robotic systems are affected by the same security issue. This security research and validation on physical hardware represent one of GCSA’s initiatives in the field of embodied AI security. GCSA will continue to advance security research, coordinated vulnerability disclosure, and industry collaboration to promote stronger security response mechanisms across the artificial intelligence sector, enhance product security, and strengthen industry trust. 🔗 Read the full report: · Stay Connected with GCSA Follow GCSA's official social media channels for the latest news, product launches, research developments, and ecosystem updates. GCSA Official Telegram Channel: GCSA Official WeChat Account: #GCSAInsight# #GCSACybersecurity# #GCSASecVibe#

Want to get more out of ChatGPT and Claude? With @agentkeyapp , you can connect AI agents to external data sources and tools, helping you dig deeper, find relevant information and get more useful research result Watch and check comments to see how👇

In December 2015, during my first year at Stanford GSB, I chose to intern at a top hedge fund. Researching advanced driver assistance systems (ADAS) and autonomous driving, I saw a new growth opportunity for GPUs beyond gaming. The only stock I pitched during my internship was NVDA—then worth roughly $18 billion, trading around $0.80 a share, split-adjusted. The fund took a large position (and still hold today), and I bought some too. I didn’t hold it all the way to its peak, but I’m grateful of the returns from the investment. @JensenHuang has created tremendous value for shareholders. Pushing him out is a mistake. After 33 years building NVIDIA, his leadership is still central to its future. NVIDIA and the broader AI developer community still need his leadership and spirit of innovation. (Back then no AI to help on stock research, have to learn those terminologies in this old fashion…😂) Look at the impact Jensen has created to the world, unbelievable. Still can’t believe what just happened. We need a prediction market on this: when will Jensen be back?