Some extremely smart ideas in here around:
1. Using /wayfinder as an orchestrator of custom skills
2. Using a multi-phase prototyping approach which zooms in on one part of the UI at a time - but in context
Give Will a follow, this is good shit
𝗜 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 𝗺𝘆 𝗹𝗼𝗰𝗮𝗹 𝗔𝗜 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁: 𝗔𝗴𝗲𝗻𝘁 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 & 𝗟𝗼𝗼𝗽 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗿𝗲𝗮𝗹 𝗰𝗼𝗱𝗲.
Everything in real code you can read in an afternoon: Harness, Loop Engineering, Memory, Eval, Tracing.
100% local on your laptop.
💻 Github Repo: https://t.co/h1AyRL8jzR
☕️ Buy me a coffee: https://t.co/QHLDvxrKzs
The whole system is one loop:
message in → retrieval gate → agent run → tools fire → trace → eval → memory saved → skills grow
- The loop is ~95 lines of plain Python
- Your memory is one SQLite file. Open it. It's yours.
- Evals built in: deterministic + LLM-as-judge, with a release gate
- Telegram gateway, voice wake word, Apple Calendar tools
In the video it books the World Cup QF on my calendar, remembers who my friends are, and answers me on Telegram.
Clone it, star it, break it, PR it. Repo + 20-min walkthrough in the first reply 👇
Watch it, then save the architecture diagram below. 🔖
You Can Build Anything. You Can Learn Anything. 💪
New skill: /find-animation-opportunities
Search your UI for places that would genuinely benefit from motion, while also telling you what not to animate.
https://t.co/zEnLEjkvIp
GPT 5.6 Sol is incredible at design. Even with minimal prompting, it creates polished landing pages in record time.
But the real superpower is one-shot video-to-HTML.
Here's a 10-minute walkthrough showing exactly how to do it.
I also open-sourced the skills behind the workflow: https://t.co/gMuw2gt9FJ
After spending the last few weeks trying out different skills from UI Skills
These are the 10 that stood out to me the most:
1. emil-design-eng
Link: https://t.co/VKDoIhRaqk
2. make-interfaces-feel-better
Link: https://t.co/hkPomdvikt
3. 12-principles-of-animation
Link: https://t.co/oMmPqG3QMX
4. fixing-accessibility
Link: https://t.co/3wDHDN7IfQ
5. shadcn
Link: https://t.co/KpnLr0LE6o
6. vercel-react-best-practices
Link: https://t.co/k72y2gfZyz
7. react-doctor
Link: https://t.co/g2sq4WXVNB
8. vitest
Link: https://t.co/pI9A8UMtuU
9. pnpm
Link: https://t.co/maGEECGfSZ
10. playwright-cli
Link: https://t.co/FRrY8H0aNM
Claude Fable 5 is actually a beast for web design.
this guy just dropped a full guide on how to design and build interactive animated 3D websites with Claude Code + Fable 5
(complete prompts in the comments)
watch the video and read the full guidelines on the article below
这个画布插件真的绝了。配合 @dontbesilent 的 Skill,一个零散的想法就能一步步梳理成完整内容。画布视图可以将整个思考过程都会沉淀下来,后面复盘、迭代都很方便。
以前跟 AI 聊需求,聊着聊着对话越来越长,一个想法套一个想法,最后自己都不知道聊到哪了。
现在 AI 负责发散,画布负责收敛。聊天内容会自动沉淀到画布,不用再翻聊天记录,整个思路、每次调整和优化路径都一目了然。而且还能随时拉出新的节点,继续往下发散和完善内容。
Ex-Google engineer just dropped 1-hour course: loops, self-improving AI, memory systems - from scratch:
00:00 - the self-building agent
03:01 - soul.md runs everything
30:16 - RAG memory: pull 20 messages, not 2,000
31:48 - the loop that knows when to stop
35:14 - find the bug, fix the prompt
50:22 - how Claude compresses your memory
1 hour of his guide beats any paid agent course
watch & bookmark - then read Karpathy's loop method below
New skill: /improve-animations
Inspired by @shadcn’s improve skill I made one specifically for animations.
Use your most capable model to audit animations in your project and hand the execution to cheaper models.
Fable is available through July 12, so make good use out of it!
OpenAI just launched a 3-hour course on building agentic systems from scratch:
00:00 - Building workspace agents
37:42 - Deep dive into OpenAI AgentKit
1:24:01 - Agent memory (loops, context, evals)
2:21:44 - Agentic training (OpenAI playbook)
This 3-hour watch will replace you 10 paid agentic courses.
Watch it today, then learn how to build a team of AI agents from scratch in the article below.
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Watch it today, then read how to build a self-improving agentic system in the article below.
Emil has some of the best design engineering skills out there. Worth pairing with:
Engineering skills
https://t.co/QeRRk3OCdP
Agent orchestration skills
https://t.co/LW62ia2m87
Together they cover design engineering, software engineering, and agent workflows.
All free and open source.