Yadong Lu
@Adamlu28
Computer use agent, MTS @ Microsoft
가입 February 2015
65 팔로잉 중 42 팬
I’ve always been bothered by how much time agents spend reading skill files and figuring out the exact commands to run.
Skill files are essentially lossy compression of day-to-day workflows. When invoked in Codex or Claude, the agent spend reasoning tokens “decompressing” them back into actions, adding latency and cost.
What if we traded a bit more upfront compression for nearly token-free decompression—turning user workflow trajectories directly into executable programs?
Check out our early exploration by @demisama_.
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Excited to share my first project @MSFTResearch 🎉!!
We built Web Skill Factory, which turns successful web-agent runs into reusable programs: verify what worked, distill it into parameterized code, then run or adapt it for future tasks.
On a held-out WebArena subset, skill reuse improved accuracy from 55% to 70% and reduced average steps from 17.1 to 14.7. A fresh agent solve can take around 10 minutes, while replaying a skill directly takes about 40 seconds with zero tokens.
Our goal is to build skills agents can execute, not just instructions they reread. Feedback is very welcome, and a GitHub star would mean a lot!
🔗 Check it out:
A few more thoughts below 🧵
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