RESOURCE2SKILL: distilling executable agent skills
_akhaliq · x · 2026-07-21
RESOURCE2SKILL
A paper on distilling executable agent skills from human-created multimodal resources. The work focuses on turning rich multimodal materials into reusable skills that agents can actually execute, rather than only describing them in natural language.
Related event: Microsoft Open-Sources Resource2Skill to Turn Media into Skills(4 posts)→
More from coding & agent
- Gergely Orosz: Shipping 10x PRs With AI Agents, Sites Fill With Small Regressions — ducha_aiki · 2026-09-11
- Same Echo Maze prompt, three frontier models: all passed visually but shipped the same hidden bug — eyishazyer · 2026-09-11
- Astra storyboards plus Minimax H3 per-shot generation boost video success rates — Hailuo_AI · 2026-09-11
- Codex tip: use Sol with Astra and Luna sub-agents to save usage — pvncher · 2026-09-11
- agents-best-practices: a provider-neutral Agent Skill for designing and auditing agentic harnesses — tom_doerr · 2026-09-11
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11