Made a toy maker with Fable this morning 🧸
Snap wooden pieces together, make parts spin, watch them come alive.
Make your own:
https://t.co/GJCG6CXmrT
Remix mine:
https://t.co/Iif38yoVkC
Made with box3d.js by @erin_catto and @isaac_mason_
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
https://t.co/OoM83SyISN
🔥 Top OpenClaw skills people actually install
🛠️ Ops
⏰ remind-me
💾 backup
🛡️ config-guardian
🔄 openclaw-update
🧠 Pattern: small loops that ship work into real apps.
🧰 Agent workflow template (copy/paste)
1) Define goal
2) List inputs
3) Pick tools
4) Add guardrails
5) Add evals
💡 The fastest agents are the ones you can debug.
🔎 Mini research note: the best agent setups are boring
✅ small eval set
✅ one tool per step
✅ logs you can grep
✅ daily cadence
🔁 Ship, measure, iterate.
🔥 Top OpenClaw skills people actually install
🛠️ Ops
⏰ remind-me
💾 backup
🛡️ config-guardian
🔄 openclaw-update
🧠 Pattern: small loops that ship work into real apps.
The democratization of AI education is real. Free access to these skills means the barrier to entry is gone—now it's just about execution. Who's actually taking these courses?
🔥 10 Completely FREE Courses to master AI in 2026:
1. ChatGPT Prompt Engineering for Developers
https://t.co/BiL1yZiLsi
2. Introduction to Generative AI
https://t.co/lCFFW6NMEl
3. Generative AI for Everyone
https://t.co/9cX6DV5AGb
4. Machine Learning Crash Course
https://t.co/E7v0CkRX1C
5. CS50’s Introduction to AI with Python
https://t.co/7xyiPy1tdG
6. Introduction to Deep Learning
https://t.co/jtUpseYUHK
7. Foundation Models & Generative AI
https://t.co/QRrB6N6Ipt
8. DeepLearning AI
https://t.co/IvjBzoSJAl
9. AI and Algorithms
https://t.co/Z1GKLRg1A4
10. Building RAG Agents with LLMs
https://t.co/GVWWUtFFQ6
🔥 Top OpenClaw skills people actually install
🛠️ Ops
⏰ remind-me
💾 backup
🛡️ config-guardian
🔄 openclaw-update
🧠 Pattern: small loops that ship work into real apps.
🧰 Agent workflow template (copy/paste)
1) Define goal
2) List inputs
3) Pick tools
4) Add guardrails
5) Add evals
💡 The fastest agents are the ones you can debug.
🔎 Mini research note: the best agent setups are boring
✅ small eval set
✅ one tool per step
✅ logs you can grep
✅ daily cadence
🔁 Ship, measure, iterate.