AI BriefingHow to Use Agent Skills
Key point
Agent Skills is a technique that selectively provides only the context an LLM needs, reducing context load and improving task efficiency.
Details
Agent Skills is a highly efficient way to provide LLMs with the appropriate context so they can repeatedly perform specific tasks. Companies can directly write skills and apply them right into their workflows to implement practical functionality.
A skill is organized as a folder structure containing a SKILL.md file. The main components are as follows:
- scripts/: code that the agent can execute
- references/: markdown files used as additional documentation
- assets/: static resources used by the agent
The existing approach had a Context Bloat problem, where providing excessive information made it difficult for the model to perform tasks. Agent Skills solves this problem by loading only the name and description by default to minimize context, then progressively loading the contents of SKILL.md and its subfolders only when the skill is determined to be needed.
Skills can be easily installed via skills.sh (made by Vercel). Using the npx skills add <owner/repo> command, you can quickly add them to a project or global environment. After installation, the editor automatically utilizes the skills, but if a skill needs to be used at a specific point, you can directly instruct the LLM to improve accuracy.
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