Demi Wang(@demisama_):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: https://t.co/tvwWDofttT A few more thoughts below 🧵

2026.08.05 07:31

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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