Unverified50% confidenceOpinionExact time
Skill-based construction can be compared to a smartphone: the model is the processor, the agent runtime is the operating system, and skills are the apps.
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThere are two types of skill invocation: user-invoked and model-invoked.75% similarVerifiedSkills convert a user's personalized preferences and execution rules into programmatic capabilities that can be reused by AI; unlike one-time Prompts, Skills can be permanently reused and save context overhead.74% similarVerifiedThe mainstream skill package execution method is to load skill instructions into the agent's context window, relying on the agent itself to understand and follow these instructions.73% similarUnverifiedSkillOpt does not fine-tune the underlying model weights; instead, it establishes an iteratively optimizable closed loop around the definition, invocation, and performance of skills.73% similarUnverifiedSkills involve encapsulating a capability to be automatically discovered and used by the model, whereas Workflow requires explicit triggering with the ultrawork keyword.72% similar
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