当AI开始“看教程”：Resource2Skill 让智能体从多模态资源中学会技能
Ranking
Overall
84
Content
90
Popularity
70
Observed public metrics from 1 member.
Merged summary
TL;DR - Resource2Skill distills videos, code repositories, articles, and reference works into a hierarchical, multimodal Skill Wiki that agents can retrieve, combine, and execute. Across seven software-creation domains, it improved average performance by 11.9%.
- Skills combine text, visuals, code, and metadata, with deterministic checks for completeness, traceability, consistency, deduplication, and executability.
- Agents access skills and software backends through MCP, enabling verified code to execute directly in tools.
- The evaluation covered 4,893 skills across PPT, CAD, Web, Excel, Blender, UE5, and Reaper; human evaluators preferred skill-assisted outputs in 85.5% of non-tied comparisons.
- Video was especially valuable: removing it reduced the aggregate score from 68.9 to 59.4, while using video alone achieved 66.8.
Sources (1)
当AI开始“看教程”：Resource2Skill 让智能体从多模态资源中学会技能
Public signals
Hugging Face upvotes 145
TL;DR - Resource2Skill distills videos, code repositories, articles, and reference works into a hierarchical, multimodal Skill Wiki that agents can retrieve, combine, and execute. Across seven software-creation domains, it improved average performance by 11.9%.
- Skills combine text, visuals, code, and metadata, with deterministic checks for completeness, traceability, consistency, deduplication, and executability.
- Agents access skills and software backends through MCP, enabling verified code to execute directly in tools.
- The evaluation covered 4,893 skills across PPT, CAD, Web, Excel, Blender, UE5, and Reaper; human evaluators preferred skill-assisted outputs in 85.5% of non-tied comparisons.
- Video was especially valuable: removing it reduced the aggregate score from 68.9 to 59.4, while using video alone achieved 66.8.