Agent Skills Overview

Learn about Agent Skills - packaged instructions that extend AI agent capabilities

Agent Skills Overview

Agent Skills are packaged instructions and scripts that extend AI agent capabilities. They follow the Agent Skills specification - a simple, open format for giving agents new capabilities and expertise.

What Are Agent Skills?

Agent Skills are modular, reusable packages that give AI agents specialized expertise. Think of them as “skill packages” that transform a general-purpose agent into a domain expert.

Each skill contains:

• SKILL.md - Instructions for the agent (required)
• scripts/ - Helper scripts for automation (optional)
• references/ - Supporting documentation (optional)
• assets/ - Images, templates, etc. (optional)

Why Use Agent Skills?

Consistent Expertise

Package best practices and domain knowledge into reusable skills that work across different agents

Easy to Share

Simple markdown format makes skills easy to create, share, and maintain

Automatic Activation

Skills activate automatically based on triggers and context - no manual selection needed

Open Standard

Built on an open specification supported by multiple agent platforms

How Skills Work

1. Installation: Add skills to your agent’s knowledge base
2. Trigger Detection: Agent detects when a skill is relevant based on the description and triggers
3. Skill Activation: Agent loads the skill’s instructions and follows them
4. Enhanced Response: Agent responds with specialized expertise from the skill

Skill Structure

Every skill follows this directory structure:

skill-name/
├── SKILL.md          # Required: Instructions for the agent
├── AGENTS.md         # Optional: Compiled rules and guidelines
├── scripts/          # Optional: Helper scripts
│   ├── script1.sh
│   └── script2.py
├── references/       # Optional: Supporting docs
│   ├── doc1.md
│   └── doc2.md
└── assets/          # Optional: Images, templates
    └── template.txt

SKILL.md Format

The core of every skill is a SKILL.md file with YAML frontmatter:

---
name: skill-name
description: |
  What the skill does and when to use it.
  Include triggers like "use when debugging" or "when user mentions code review".
license: MIT
metadata:
  author: awesome-llm-apps
  version: "1.0.0"
---

# Skill Name

You are [role description]. Instructions for the agent to follow...

## When to Apply

Use this skill when:
- [Trigger condition 1]
- [Trigger condition 2]
- [Trigger phrase or keyword]

## [Sections with instructions]

[Detailed guidance, checklists, examples, etc.]

Key Components

Description Field

The description tells the agent when to use this skill. Include:

• What the skill does
• When to activate it
• Trigger phrases (“use when”, “when user mentions”)
• Common keywords that should activate it

Example:

description: |
  Thorough code review with focus on security, performance, and best practices.
  Use when: reviewing code, performing security audits, checking code quality,
  or when user mentions code review, PR review, security vulnerabilities.

Instructions Section

Provide clear, actionable instructions:

• Use imperative voice (“Check for X”, “Ensure Y”)
• Include checklists for systematic workflows
• Provide examples of good and bad patterns
• Define priority levels (CRITICAL, HIGH, MEDIUM, LOW)
• Show expected output formats

Supporting Files

AGENTS.md: Compiled reference with all rules and examples scripts/: Automation scripts the agent can run references/: Deep-dive documentation on specific topics assets/: Templates, diagrams, or other resources

Installation Methods

Using npx

npx skills add shubhamsaboo/awesome-agent-skills

Manual Install

1. Clone or download the skill directory
2. Copy to your agent’s skills folder
3. Reference in agent configuration

Direct Reference

Upload SKILL.md to your agent’s knowledge base or custom instructions

Platform Compatibility

Agent Skills work with any skills-compatible agent platform:

• Claude Desktop / claude.ai - Upload SKILL.md to project knowledge
• Cursor / VSCode - Reference skills in .cursorrules or instructions
• Custom agents - Load SKILL.md as system prompts
• AI frameworks - Use with LangChain, AutoGen, or custom frameworks

Skill Categories

Skills are organized into categories by domain:

Coding Skills

Python expert, code reviewer, debugger, fullstack developer

Research Skills

Deep research, fact checker, academic researcher

Writing Skills

Technical writer, content creator, editor

Planning Skills

Project planner, sprint planner, strategy advisor

Example: Python Expert Skill

Here’s how a typical skill works in practice:

User: “Write a function to find duplicates in a list”

Agent detects: Keywords “write a function” + “Python” context → Loads python-expert skill

Agent follows skill:

• Uses type hints
• Includes comprehensive docstring
• Follows PEP 8 style
• Provides examples and explanation
• Uses efficient implementation

Result: Production-ready Python code following best practices

Next Steps

Browse Coding Skills

Explore coding and development skills

Browse Research Skills

Discover research and analysis skills

Browse Writing Skills

Find writing and documentation skills

Create Your Own

Learn to create custom agent skills

Resources

• Agent Skills Specification
• Agent Skills Documentation
• Vercel Agent Skills - Official examples
• Anthropic Skills - More examples