Claude Code
Agent Skills (SKILL.md)
An open standard, originally developed by Anthropic, for packaging reusable agent knowledge as a folder with a SKILL.md file of YAML frontmatter plus markdown instructions.
In depth
An open standard, originally developed by Anthropic, for packaging reusable agent knowledge as a folder with a SKILL.md file of YAML frontmatter plus markdown instructions. Claude loads a skill only when the task matches or you invoke it with /skill-name, so many skills can be installed while costing almost no tokens until one fires. The format is adopted across tools including Claude Code, GitHub Copilot, Cursor, OpenCode, Codex, and Gemini CLI, with the spec published at agentskills.io.
Example
In practice, developers reach for Agent Skills (SKILL.md) when they need the capability described above as part of an AI feature or workflow.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover Claude Code.
FAQ
Common questions
What is Agent Skills (SKILL.md)?
An open standard, originally developed by Anthropic, for packaging reusable agent knowledge as a folder with a SKILL.md file of YAML frontmatter plus markdown instructions.
Why does Agent Skills (SKILL.md) matter for AI developers?
Agent Skills (SKILL.md) sits in the Claude Code part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Agent Skills (SKILL.md)?
Developers Digest publishes tutorials and videos that cover Claude Code topics including Agent Skills (SKILL.md). Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Claude Code
Skills (Claude Code)
Custom slash commands defined in markdown files that extend Claude Code's capabilities for specific workflows.
Claude Code
Agent Memory
The ability of an AI agent to retain information across turns, sessions, or tasks.
Claude Code
Auto Memory (Claude Code)
A feature in Claude Code that automatically remembers important information across sessions without explicit user action.
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