Expired65% confidenceFactExact time
In Agent Skills, when one Agent has multiple Skills mounted, the system performs automatic mapping from user intent to Skill through semantic similarity computation (cosine similarity based on embedding vectors).
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
What Is an Agent Skill? Core Structure and Hands-On Beginner's Guide
bilibili李宏毅agent6/12/2026
Related Claims
VerifiedAgent Skill adopts a lazy-loading mechanism whereby the Agent first reads only the metadata (name and description) of each Skill and loads the full instructions only after matching the user's need, so having multiple Skills coexisting does not increase Token consumption83% similarUnverifiedThe Agent + Skill combination is a "brain + arms" architecture: the Agent is responsible for understanding intent and formulating plans, while the Skill is responsible for concrete execution.82% similarUnverifiedIn a multi-Skill collaborative Agent system, the orchestration layer (Orchestrator) performs semantic matching based on user intent and the metadata of each Skill to automatically select the skill combination.82% similarVerifiedAgent Skills decompose an agent's capabilities into modular units that, after reinforcement learning training, can be repeatedly invoked and flexibly combined within a scientific research workflow.81% similarUnverifiedThe Agent Skills Orchestrator layer analyzes user input intent and retrieves matching Skills packages from a skill registry during execution81% similar
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