agent-skills

Package agent capabilities with SKILL.md metadata for discovery and on-demand loading.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/quantmind-br/skills --skill agent-skills-quantmind-br
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-skills
Source: https://github.com/quantmind-br/skills/tree/main/agent-skills
Command: npx skills add https://github.com/quantmind-br/skills --skill agent-skills-quantmind-br

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agent Skills provide a portable, open-standard format for packaging and discovering reusable agent capabilities that can be loaded on demand by compatible agents.

Core Features & Use Cases

  • Portable, version-controlled skill packages that can be shared across AI agents and tools
  • Progressive disclosure: lightweight startup metadata with full instructions loaded at activation
  • Cross-platform interoperability: supports scripts, references, and assets to extend capabilities

Quick Start

Install the Agent Skills folder with a SKILL.md at the root and begin by discovering and loading its metadata.

Frequently Asked Questions about agent-skills

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

FAQPage Schema
What is an open standard for packaging AI agent capabilities?

An open standard for packaging AI agent capabilities provides a portable, version-controlled format that standardizes how reusable skills are discovered and loaded on demand by compatible agents.

How do I package reusable AI agent skills for on-demand loading?

To package reusable AI agent skills, create a folder with a SKILL.md file at the root containing YAML frontmatter for validation, and optionally include scripts, references, and assets to extend capabilities.

Does progressive disclosure help with AI agent startup performance?

Progressive disclosure improves AI agent startup performance by loading only lightweight metadata initially, deferring full skill instructions until the specific capability is activated on demand.

Can I use version-controlled skill packages across different AI agent platforms?

Yes, version-controlled skill packages support cross-platform interoperability, allowing portable capabilities with scripts, references, and assets to be shared across different AI agents and tools.

What YAML frontmatter validation is required for an agent skill?

YAML frontmatter validation for an agent skill requires mandatory name and description fields, while optional fields support scripts, references, and assets for progressive-disclosure loading workflows.