agentskills-io

Create, validate, and publish AI Agent Skills per the agentskills.io standard.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/dfpalhano/openclaw-workspace --skill agentskills-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentskills-io
Source: https://github.com/dfpalhano/openclaw-workspace/tree/main/skills/agentskills-io
Command: npx skills add https://github.com/dfpalhano/openclaw-workspace --skill agentskills-io

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides the tools and guidance to create, validate, and publish Agent Skills that adhere to the official open standard, ensuring compatibility across various AI agent platforms.

Core Features & Use Cases

  • Skill Creation: Generate new skills following the agentskills.io specification.
  • Validation: Ensure your skill's structure, metadata, and token budgets meet the standard.
  • Specification Understanding: Learn the rules and best practices for portable AI agent skills.
  • Cross-Platform Compatibility: Develop skills that work with Claude Code, Cursor, GitHub Copilot, and more.

Quick Start

Use the agentskills-io skill to validate the structure and metadata of a skill located in the './my-new-skill' directory.

Frequently Asked Questions about agentskills-io

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create portable AI agent skills that work across different platforms?

You can create portable AI agent skills by following the agentskills.io open standard, which ensures compatibility across platforms like Claude Code, Cursor, and GitHub Copilot. Use this skill to generate compliant structures and metadata.

What is the agentskills.io specification for AI agent development?

The agentskills.io specification is an open standard defining the structure, metadata, and token budget constraints required for AI agent skills to maintain cross-platform compatibility. It provides reference materials to guide compliant skill creation.

How do I validate AI agent skill structure and metadata locally?

You can validate AI agent skill structures locally by running the validation tools included in this skill against your skill directory. This checks your metadata and token budgets to ensure they meet the agentskills.io specification requirements.

Can I use my custom agent skills with Claude Code and GitHub Copilot?

Yes, custom agent skills validated against the agentskills.io open standard are designed for cross-platform compatibility with AI agents like Claude Code, Cursor, and GitHub Copilot. Validation ensures your skill meets the required structural and metadata constraints.

Why do my AI agent skills fail to load on different platforms?

AI agent skills often fail to load across platforms due to non-compliant metadata or exceeding token budget constraints. Validating your skill structure against the agentskills.io specification ensures proper formatting and cross-platform compatibility.

Do I need specific token budget limits for portable AI agent skills?

Yes, adhering to token budget constraints is required for portable AI agent skills to ensure cross-platform compatibility. The agentskills.io specification defines these limits, and the included validation tools check your skill for compliance.