AI RESEARCH
From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
arXiv CS.AI
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ArXi:2604.24026v2 Announce Type: cross LLM agents increasingly rely on reusable skills, capability packages that combine instructions, control flow, constraints, and tool calls. In most current agent systems, however, skills are still represented by text-heavy artifacts, including SKILL{.}md-style documents and structured records whose machine-usable evidence remains embedded largely in natural-language descriptions.