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.