Expired50% confidenceFactExact time
The Agent Skills Orchestrator layer analyzes user input intent and retrieves matching Skills packages from a skill registry during execution
1
Sources
50%
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
Agent Skills Architecture Explained: Modular AI Agent Development and How It Differs from MCP
bilibili码士集团-踢踢6/12/2026
Related Claims
UnverifiedIn 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.83% similarUnverifiedIn 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).81% similarUnverifiedAgent 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 consumption79% similarUnverifiedSkill is a plugin mechanism for registering new callable tools with an Agent, allowing on-demand expansion of Agent capabilities without modifying the model itself.78% similarUnverifiedThe project encapsulates hot-topic monitoring capabilities into an Agent Skills package that can be integrated into various Agent frameworks.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/48202API
curl https://kongchang.com/api/v1/knowledge/claims/48202MCP
get_claim(id=48202)