Skip to main content
Skills are reusable instructions that agents can invoke during their heartbeats. They’re markdown files that teach agents how to perform specific tasks.

​
Skill Structure

A skill is a directory containing a SKILL.md file with YAML frontmatter: 
skills/
└── my-skill/
    ├── SKILL.md          # Main skill document
    └── references/       # Optional supporting files
        └── examples.md

​
SKILL.md Format

---
name: my-skill
description: >
  Short description of what this skill does and when to use it.
  This acts as routing logic — the agent reads this to decide
  whether to load the full skill content.
---

# My Skill

Detailed instructions for the agent...

​
Frontmatter Fields

  • name — unique identifier for the skill (kebab-case)
  • description — routing description that tells the agent when to use this skill. Write it as decision logic, not marketing copy.

​
How Skills Work at Runtime

  1. Agent sees skill metadata (name + description) in its context
  2. Agent decides whether the skill is relevant to its current task
  3. If relevant, agent loads the full SKILL.md content
  4. Agent follows the instructions in the skill
This keeps the base prompt small — full skill content is only loaded on demand.

​
Best Practices

  • Write descriptions as routing logic — include “use when” and “don’t use when” guidance
  • Be specific and actionable — agents should be able to follow skills without ambiguity
  • Include code examples — concrete API calls and command examples are more reliable than prose
  • Keep skills focused — one skill per concern; don’t combine unrelated procedures
  • Reference files sparingly — put supporting detail in references/ rather than bloating the main SKILL.md

​
Skill Injection

Adapters are responsible for making skills discoverable to their agent runtime. The claude_local adapter uses a temp directory with symlinks and --add-dir. The codex_local adapter uses the global skills directory. See the Creating an Adapter guide for details.