Skills user guide

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How skills work

1. System prompt injection — the server builds an <available_skills> XML block listing every enabled skill with its name, description, and file path.
2. Model reads SKILL.md — before starting a task the AI opens the relevant skill’s instructions via the view tool.
3. Scripts and references — skills can bundle Python/bash helpers and reference docs that the AI invokes with bash_tool.

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Built-in skills (13 public)

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Example skills (14)

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Creating a skill

my-skill/
├── SKILL.md          # Required — instructions for the AI
├── scripts/          # Optional — helper scripts
│   └── process.py
└── references/       # Optional — reference docs
    └── guide.md

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SKILL.md format

---
name: my-skill-name
description: Brief description (this is what the AI sees in the skills list)
---

# My Skill Name

Instructions for the AI. Be specific about:
- When to use this skill
- Step-by-step workflow
- Which scripts to run and how
- Expected output format

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Per-user skill management

• The AI manages skills through a dedicated settings-manager skill.
• Users enable/disable skills per account.
• Custom skills are uploaded as ZIPs and cached on the server.

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Related

• Skills reference — deeper per-skill details
• Dynamic skills — under-the-hood injection
• Creating skills — publishing your own