agentskills-specification

Define standard Agent Skills with SKILL.md frontmatter for cross-platform loading.

2|1|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/ai-agent-skills --skill agentskills-specification
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentskills-specification
Source: https://github.com/Aradotso/ai-agent-skills/tree/main/skills/agentskills-specification
Command: npx skills add https://github.com/Aradotso/ai-agent-skills --skill agentskills-specification

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Specification for standardizing how AI agents define, discover, and load Agent Skills, plus a lightweight SDK to package and share capabilities across AI agents.

Core Features & Use Cases

  • Formal frontmatter contract for skill discovery and validation.
  • Reusable SDK scaffold to author, validate, and publish new skills.
  • Portable, cross-platform skill definitions that teams can share and reuse. Use Case: A team defines a new agent capability as an SKILL.md and publishes it so other agents can load it automatically.

Quick Start

Create a new skill folder with a SKILL.md frontmatter and a concise description.

Frequently Asked Questions about agentskills-specification

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

FAQPage Schema
What is a standard specification for AI agent skills discovery?

To standardize and discover Agent Skills, create a skill folder containing a SKILL.md file with frontmatter specifying the name, description, and triggers, then publish it for other agents to load automatically.

How does frontmatter integration work for cross-platform agent skills?

Frontmatter integration enables cross-platform agent skills by enforcing a formal metadata contract in SKILL.md, ensuring portable definitions that teams can validate, share, and reuse across different AI agents.

Do I need an SDK to package and share capabilities across AI agents?

No, but the lightweight SDK scaffold streamlines packaging and sharing capabilities across AI agents by providing tools to author, validate, and publish standardized skill definitions with frontmatter.

Can I use markdown to define reusable capabilities across different AI platforms?

Yes, you can use markdown to define reusable capabilities across AI platforms by writing a SKILL.md file with frontmatter, ensuring portable skill definitions that multiple agents can discover and load.

What is the best way to standardize how AI agents define and load skills?

The best way to standardize AI agent skill loading is using a formal SKILL.md frontmatter contract, enabling cross-platform discovery, validation, and automatic loading of shared capabilities across different agents.