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简直牛逼克拉斯！！ 你的 Opus 5.5 只需这25 个技能，就能顶一整支设计和视频制作团队。 在 GitHub 上合计约 87.6 万星。⬇️ 覆盖设计、视频、三维、动效、品牌多个维度，可以直接丢进 Claude Code，配上 Opus 5.5 来跑： 设计 • anthropic skills：官方仓库，前端和画布设计（约 19.3 万星） • impeccable：/polish /bolder /critique，少点那种一眼假的生成味（约 10.8 万星） • open-design：开源的智能设计工作台（约 10.7 万星） • hallmark：做出不像生成物的设计（约 5.3 万星） • huashu design：一句话进去，成品设计出来（约 2.9 万星） 视频 • hyperframes：写下 HTML，就能出片子（约 8.3 万星） • openmontage：智能体视频工作室，一百多种工具（约 8.0 万星） • video-shotcraft：电影感的产品宣传片（约 1.9 万星） • remotion skills：官方技能，用 React 做视频（约 6800 星） • animated shorts：三维世界里的短片卡通（约 2800 星） 三维 • blender mcp：让 Claude 来驱动 Blender（约 3.4 万星） • anatomy：把想法做成可运转的三维物件（约 2.7 万星） • unity mcp：让 Claude 操作 Unity 编辑器（约 1.6 万星） • universal-modder：给自己买过的 PC 游戏做模组（约 9600 星） • gamedev skills：77 项技能，从 Godot 到 three.js（约 8300 星） 动效 • gsap skills：官方缓动和滚动动效（约 1.8 万星） • garden skills：动效样片和网页影像演示（约 1.5 万星） • pixelfx：用代码写出 244 种像素效果（约 6900 星） • anything2explainer：丢进主题，得到讲解片（约 3200 星） • oil-motion：跟着滚动和指针走的动画（约 2900 星） 品牌 • guizang ppt：杂志风和瑞士风格的幻灯（约 3.0 万星） • stitch skills：Google 的界面设计技能（约 8700 星） • architecture diagrams：用文字描述，换来一张干净的结构图（约 7600 星） • logo design：从简报到 SVG 标志再到品牌手册（约 6600 星） • nothing design：单色点阵风格的界面（约 2900 星） 这些仓库都能公开拿到，多数是 MIT 或 Apache，许可以各仓库说明为准。片里每张卡片都对着一项技能做了三维展示。

Claude Opus 5.5 just cooked a 20-person motion studio... these are the 20 skills I actually use with Opus 5.5 for video, design, 3D, motion and gamedev. 770K+ github stars between them: VIDEO ┣ hyperframes · write HTML, get a video (81K★) ┃ ┗ ┣ openmontage · full agentic video studio, 12 pipelines (79K★) ┃ ┗ ┣ video-shotcraft · cinematic product promos (18K★) ┃ ┗ ┗ remotion skills · the official one, videos in react (6.7K★) ┗ DESIGN ┣ anthropic skills · frontend-design, canvas, algorithmic art (190K★) ┃ ┗ ┣ impeccable · /polish /bolder /critique, kills AI slop (107K★) ┃ ┗ ┣ open-design · open-source AI design workspace (107K★) ┃ ┗ ┗ hallmark · design that refuses to look AI-made (51K★) ┗ 3D ┣ blender mcp · claude drives blender, whole scenes (34K★) ┃ ┗ ┣ anatomy · any idea as a real working 3D object (26K★) ┃ ┗ ┣ unity mcp · claude runs the unity editor (16K★) ┃ ┗ ┗ blender-skills · 94 skills, blockout → export (2.3K★) ┗ MOTION ┣ gsap skills · official easing, timelines, scroll (18K★) ┃ ┗ ┣ anything2explainer · topic in, narrated explainer out (3.2K★) ┃ ┗ ┣ oil-motion · animation that follows scroll + mouse (2.9K★) ┃ ┗ ┗ herk edit kit · cut dead air, edit reels + shorts (2.7K★) ┗ GAMES ┣ universal-modder · mod any PC game you own (9.5K★) ┃ ┗ ┣ gamedev skills · 77 skills, godot to three.js (7.9K★) ┃ ┗ ┣ pixelfx · 244 pixel effects in code (6.2K★) ┃ ┗ ┗ sprite-gen · game sprites + animation atlases (3.9K★) ┗ all open source. the 3D scene on each card is mine, fully rendered in blender for that skill

And yeah @fermah_xyz started with a problem that sits deep inside the ZK stack. Zero knowledge applications can prove that a computation was done correctly, but producing those proofs at scale takes serious infrastructure: specialised hardware, several proving systems, workload scheduling, and reliability and cost controls. A team building a ZK rollup, zkVM, bridge or coprocessor cannot simply ask for "a proof" and move on. Fermah's first answer was a universal proof generation layer. Provers with GPUs and other hardware supply capacity, applications that need proofs create the demand, and Fermah matches the two. That marketplace is now called Froben. The problem behind the proof Running this in production exposed something bigger. A proof is one step in a longer sequence. Something has to trigger the work, the work has to run, the result has to be verified, and then the result usually has to start the next action. Fermah's argument is that blockchains are good at recording state and weak at starting what happens next. Take a lending position that crosses its liquidation threshold. The chain records the fact, but nothing forces the liquidation. A keeper, bot or backend still has to notice the condition, build the transaction and submit it. Consensus settles what happened, and a human run service still decides what happens after. Fermah calls the missing piece protocol agency: a protocol's ability to act on a verifiable condition without depending on an outside operator. What Kernel does Kernel is Fermah's Protocol Agency Engine, and its pitch is short: Define. Execute. Attest. A developer defines a workflow, Kernel runs it, and the result is published onchain with a cryptographic proof. Three design choices matter here: -Typed nodes. Workflows are built from a library of verified building blocks such as HTTP calls, onchain reads, price feeds and math functions. The type system validates how they connect before anything runs. -Sandboxed execution. Workflows run in an isolated environment built for untrusted code, and the same inputs always produce the same output. - AI where it helps, code where it counts. Fermah says AI agents can compose workflows, but deterministic code executes them, with no LLM in the execution path. Kernel can work as an oracle too. A smart contract requests a workflow, Kernel runs it, and the contract receives the result with a proof that the workflow ran exactly as written. Froben and Flashcast Fermah did not walk away from ZK. Froben still runs, now on top of Kernel, and its paying customers include ZKsync Era and Abstract. In Froben, a workflow defines the proving pipeline and Kernel schedules the work across the prover fleet. Flashcast Social shows a different use of the same engine. A user posts a question, and within seconds it becomes a live prediction market. Kernel then runs the resolution workflow and settles the market automatically when the event happens, with no committee and no dispute window. Proof generation and market resolution have little in common on the surface. What they share is a condition that has to produce an action, and that is the workload Kernel is built around. Fermah also lists data aggregation, pricing oracles and cross chain coordination as things Kernel can run. Where agents fit Fermah's latest thinking extends this to autonomous software agents. An agent working onchain needs to find available actions, check whether it is allowed to run them, pay, execute, and use the output as the input to its next step. Fermah describes this as action manifests, which make actions machine readable across discovery, eligibility, execution, payment and output. The shift in one line The old question was how to generate ZK proofs efficiently at scale. The new one is how a protocol can turn a verifiable condition into a complete, executable sequence. Proving is still part of the system, but it is now one workload among several that Kernel coordinates.

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It’s almost time for #BNBSG# 🇸🇬 The gathering point for the people shaping the future of onchain, powered by: 🔸 @fourdotmemezh - Full-stack launchpad 🔸 @bpn_network - Multi-stablecoin liquidity ecosystem 🔸 @Aster_DEX - Next-gen perp DEX 🔸 @brevis_zk - Infinite compute layer 🔸 @UnitasLabs - Yield generation layer 🔸 @Hertzflow_xyz - World leverage engine 🔸 @NeoSoulAI - Market infrastructure for the agent economy 🔸 @UTechStables - Next-gen stablecoin to unify liquidity 🔸 @VenusProtocol - Universal money markets 🔸 @lista_dao - Intelligence-powered liquidity network 🔸 @awscloud - Cloud computing platform 🔸 @predictdotfun - Prediction market platform Secure your spot on Oct 7:

A humanoid is a capital good on a scale that changes the constraint. It lengthens production and raises what labor and land can turn out, which is the abundance Elon is pointing at. A person supplies about 2,000 hours a year. A robot on a 168 hour week supplies about 8,700. His floor of 1 billion within 10 years, priced in the low 10,000s, equals about 4 billion full time equivalents against a world labor force of 3.5 billion. The 10 billion at 15 years is an order of magnitude past that. Robots building robots still require saving, because energy, materials, and machines have to be bid into that line. Expected abundance holds for ordinary wants which is what matters for people as consumers. Housing, food, care, and routine medicine get repriced toward energy and materials until a household’s budget stops being what limits them. An owner running 100s or 1,000s of agents earns the return on that capital stock, which is also how universal high income shows up as purchasing power. Money prices remain the way to allocate whatever is still scarce, that is energy, locations, raw materials. At least in the short term. Energy is the binding input, and settling more than one planet adds land, minerals, and generation beyond a single world. TLDR: (1) More energy. (2) Multiplanetary doesn’t hurt.

🚨 JUST NOW: Elon Musk, shoulder to shoulder with President Trump, explains why AI is going to lift up ALL of humanity -- not force them into poverty @elonmusk: "I think by FAR the most likely outcome is an AGE OF ABUNDANCE where we don't have just universal basic income, we have universal HIGH income. And people speak about medical benefits. "Maybe it's worth talking a bit more about that. When you have robots and you have superintelligence, it means that EVERYONE in the world can have better medical care than anyone here, including ME. And wouldn't that be wonderful?!" Jobs are going to change. Jobs have ALWAYS changed. But being a computer used to be a job. There used to be buildings FULL of people doing calculations, but now digital computers to do those tasks. I don't think anyone is pining to go back and do calculations all day to do bank interest rates, which is what they used to do. So I think we'll see an evolution of roles. And as the President has mentioned, it's not as though unemployment has increased. In fact, there's a TREMENDOUS demand for people. So I think the most likely outcome--and it's probably worth looking at--the most likely outcome is one which is INCREDIBLY beneficial. And it's a future that you, if you could look into the future, it has a future you would WANT." WELL SAID, Elon. No notes 👏

Delivered. Left On Delivered ($LOND) — Left On Delivered is a mascot for the universal ache of the double-check mark that never turns to 'seen.' No app, no dashboard — just a character and an open invitation to remix it. Live now.

为什么 Bitget 今天遭遇安全事件后，会有超过百位 KOL 自发声援，币安、Bybit、MEXC 等多家交易所高层也公开发推支持？ 1. 创新 Bitget 本身就是一家敢于创新的交易所。2025 年率先提出并落地 UEX（Universal Exchange）全景交易所，随后上线美股代币和美股合约。进入 2026 年，美股和 TradFi 也成了多家头部交易所重点布局的方向。 2. 口碑 2024 年 10 月 7 日， $BGB 价格闪崩。平台币出现这种事故，对任何交易所都是一次考验。Bitget 在 24 小时内公布全额赔付方案，在 72 小时内完成赔付。 2026 年 8 月 9 日， $TUT、龙虾 $LOBSTER 和 $BICO 合约出现异常价格波动，导致部分空头仓位被强制平仓。Bitget 随后启动赔付，据公开报道，赔付规模约为 4000 万美元。 3. 高效 从家印入职第一天开始，他就把“今日事今日毕”当作工作准则。对他来说，明天不是区块链的节奏，今天的问题就要今天处理。 4. 种善因，得善果 2025 年 Bybit 被盗约 14.6 亿美元后，据 Ben Zhou 后来回忆，Bitget 是第一个出手帮助的交易所。Bitget 向 Bybit 转入 4 万枚 ETH，当时价值约 1.05 亿美元，而且没有要求抵押，也没有收取利息。 5. 人格魅力 家印一直把 Bitget 当成自己的事业，CEO Gracy 也是。安全事件发生后，两人第一时间投入处理，持续发推、回复用户，几乎连轴转。Bitget 还承诺每小时更新一次进展，持续安抚用户并更新进展。 站在一个普通人的立场，发生这样的事情肯定非常痛心，这也属于难以预料的突发事件。我觉得，在力所能及的情况下，出于人道主义考虑，只要自己的资金安全，就应当向 Bitget 伸出援手。@Bitgetyaya @Bitget_zh @xiejiayinBitget @GracyBitget