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这是纯宝藏：20 个 AI agent 技能，覆盖从构建到上线的完整闭环。 规格、架构、agent、后端、数据、UI、测试、安全、分析、交付。 定义任务 1. bmad-spec 把想法变成结构化的规格。 2. domain-modeling 为系统里的核心概念和关系建模。 3. codebase-design 规划代码库该怎么组织。 4. google-agents-cli-workflow 用 Google Agents CLI 搭建 agent 工作流。 5. prompt-optimizer 改进和打磨 prompt。 构建系统 6. google-agents-cli-adk-code 用 Google 的工具构建 agent 代码。 7. mastra 构建 AI agent 系统的技能。 8. typesafe-ai 用更强的类型安全构建 AI 工作流。 9. fastify-best-practices Fastify 后端的更好模式。 10. neon-postgres 使用 Neon + Postgres。 让它可用 11. prisma-database-setup 用 Prisma 搭建数据库层。 12. clerk-orgs 加入组织与认证工作流。 13. emil-design-eng 改进产品设计和前端执行。 14. review-animations 审查并改进 UI 动画。 15. remotion-best-practices 构建更好的程序化视频工作流。 验证真实效果 16. playwright-cli 测试真实浏览器路径。 17. semgrep 扫描代码库的安全问题。 18. sentry-fix-issues 发现并修复生产环境问题。 19. instrument-product-analytics 追踪用户在产品里实际做了什么。 20. email-best-practices 改进产品邮件流程。 这个闭环： 想法 → 规格 → 架构 → 构建 → 浏览器测试 → 捕获失败 → 衡量用户 → 改进下一个版本。 找出你项目里最大的瓶颈，先装上能攻克它的那个技能。 收藏这条，为你的产品建一个第二大脑。

Tokenized Stocks Are Being Won by Distribution As per @tokenterminal , Tokenized stocks stood at $3.56B in the week of Sep 21, up 65% from $2.16B in the week of Jun 29. That is roughly $1.4B added in 12 weeks, going into Q4. @Ondo Finance leads with 25.9% and $928.7M. xStocks follows at 23.8%, @binance bStocks at 20.6% and Securitize at 12.4%. The top four issuers hold 82.7% of the market Ondo's lead is 2.1% over xStocks and 5.3% over bStocks. That makes it the leader in a three-way race rather than a dominant player. @BNBCHAIN holds 29.5% of the market at $1.1B. Ethereum is at 21.5%, Solana at 20.2% and Avalanche at 11.9%. Arbitrum (5.6%), X Layer (5.0%) and Robinhood Chain (4.1%) make up the next tier, and Base is at 1.0%. Binance bStocks at 20.6% of $3.56B is about $734M. If bStocks sits on BNB Chain, roughly 70% of the chain's value is the exchange's own product. It reflects where an exchange with a large existing user base chose to issue, Ethereum and Solana are split across Ondo, xStocks, Securitize and others, and none of those issuers has a single distribution channel of Binance's size. Robinhood Chain at 4.1% and Robinhood as an issuer at 4.9% follow the same pattern at a smaller scale, with a broker issuing on its own rails. Bunt's POV Ondo's 25.9% is the most exposed number in this dataset. Exchange-native issuers grow with their own user base, and Ondo has to win through partners it does not control. I believe the Q4 test is whether Ondo holds its share while the total keeps expanding. If exchange-native issuance takes the share instead, the chain leaderboard will keep reflecting distribution rather than infrastructure.

1/ 如果一家新的 AI 实验室需要 GPU，业内人最推荐谁？ Chris Barber 发起了一轮投票： 15 票：SF Compute 11 票：CoreWeave 10 票：Modal、Nebius 9 票：Lambda 5 票：Fluidstack 4 票：RunPod 3 票：Crusoe、Together AI 2 票：Baseten、Google Cloud、Oracle、Ornn