🚨 You need to see this. @addyosmani from Google just dropped his new Agent Skills and it's incredible. It brings 19 engineering skills + 7 commands to AI coding agents, all inspired by Google best practices 🤯 AI coding agents are powerful, but left alone, they take shortcuts. They skip specs, tests, and security reviews, optimizing for "done" over "correct." Addy built this to fix that. Each skill encodes the workflows and quality gates that senior engineers actually use: spec before code, test before merge, measure before optimize. The full lifecycle is covered: → Define – refine ideas, write specs before a single line of code → Plan – decompose into small, verifiable tasks → Build – incremental implementation, context engineering, clean API design → Verify – TDD, browser testing with DevTools, systematic debugging → Review – code quality, security hardening, performance optimization → Ship – git workflow, CI/CD, ADRs, pre-launch checklists Features 7 slash commands: (/spec, /plan, /build, /test, /review, /code-simplify, /ship) that map to this lifecycle. It works with: ✦ Claude Code ✦ Cursor ✦ Antigravity ✦ … and any agent accepting Markdown. Baking in Google-tier engineering culture (Shift Left, Chesterton's Fence, Hyrum's Law) directly into your agent's step-by-step workflow! `npx skills add addyosmani/agent-skills` Free and open-source. Repo link in 🧵↓
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EdgeClaw Reduces Token Usage 85% with New Skill System
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85% token reduction, that is what EdgeClaw's new skill system delivers compared to the standard Claude Code loading phase. Open source teams are shipping faster than the labs right now. See what they built: github.com/OpenBMB/EdgeClaw Yukun Yan (@AIYKun) 🚀 [OpenClaw x Claude Code DAY 3 – Almost Done!] 🚀 Three more CC features—including the highly requested Buddy—are now live in EdgeClaw 2.2! 🦞 Try it now: github.com/OpenBMB/EdgeClaw Here is what we shipped today: 👇 ⚡️ ClawXskills: Progressive, high-efficiency skill calling. The loading phase now consumes just 15% of the original tokens! 🧠 ClawXcontext: Hierarchical context compression with on-demand expansion. Say goodbye to context bloat and lost information! 🐾 ClawXBuddy: Draw a random "blind box" to get your own unique companion pet! (Warning: No abandoning allowed! 🙅♂️❤️) The reconstruction of CC features is complete, but EdgeClaw’s evolution has just begun. We will keep pushing boundaries! 🌊🚀 #ClaudeCode #OpenClaw #EdgeClaw #LLMs #OpenSource — https://nitter.net/AIYKun/status/2040061511809520006#m
→ View original post on X — @aihighlight, 2026-04-04 08:51 UTC
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Data Analyst Roadmap 2026 by Python_Dv
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#DataAnalyst Roadmap 2026
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@Python_Dv #DataScience #BigData -
Central layer architecture with full data export and open formats
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犀利,我们做的是「中枢层」,支持随时随地全量导出,格式开放。
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Being a Software Engineer in 2026
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Being a Software Engineer in 2026: pic.twitter.com/R0BjGI67CF
— Charly Wargnier (@DataChaz) 4 avril 2026Being a Software Engineer in 2026:
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OpenAI’s GPT-Image-2 model leak surpasses Nano Banana Pro
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OpenAI's new image model GPT-Image-2 has leaked It seems to have extremely good world knowledge and great text rendering Possibly better than Nano Banana Pro It's on @arena under code names:
– maskingtape-alpha
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Codex App Server enables custom interfaces with ChatGPT integration
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I want to double down on that. Just ask Codex to build anything you want connecting to the Codex App Server. It’s very self-aware about it, and you can connect Codex to anything and talk to it from any UI you want to build! This is how the whole Codex Monitor thing started! Vaibhav (VB) Srivastav (@reach_vb) ICYMI: you can use your ChatGPT sub with OpenClaw, OpenCode, Pi, Cline and a lot more! Infact you can double down and build your own interfaces on top of the ChatGPT Sub via the Codex App Server too – it’s fully open source Enjoy your Claw & build things you want, when you want — https://nitter.net/reach_vb/status/2040314906180735259#m
→ View original post on X — @romainhuet, 2026-04-04 06:51 UTC
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Codex outperforms Opus on challenging problems, parallel workflow benefits
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Codex has been surprising good at solving problems Opus can’t solve My workflow often involves running Opus 4.6 and Codex in parallel and choosing the best answer Always good to get a second opinion and it’s still way cheaper to use AI compared to human experts
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Use ChatGPT Subscription with OpenClaw, OpenCode, Pi, Cline Tools
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ICYMI: you can use your ChatGPT sub with OpenClaw, OpenCode, Pi, Cline and a lot more! Infact you can double down and build your own interfaces on top of the ChatGPT Sub via the Codex App Server too – it’s fully open source Enjoy your Claw & build things you want, when you want
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Claude Code Effort Levels Impact Model Performance Differently
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This is false. We serve exactly the same models to all users. What the person in the post might be experiencing is a lower effort level vs. what the enterprise set. Claude Code users can change this anytime by running /effort. low effort = less tokens and lower intelligence,
