skills.rest
MadeAgents
MadeAgentsOFFICIAL
Explore all skills by this author →
WebsiteGitHub

skill-creator

Create and package modular AgentSkills with validated .skill archives.

22|3|Updated Apr 22, 2026
Search Tags:#agent skills#skill packaging#progressive disclosure#YAML frontmatter#automation tooling#workspace organization#validation workflow
One-click install
npx skills add https://github.com/MadeAgents/TopoClaw --skill skill-creator-madeagents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/MadeAgents/TopoClaw/tree/main/TopoClaw/topoclaw/skills/skill-creator
Command: npx skills add https://github.com/MadeAgents/TopoClaw --skill skill-creator-madeagents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you create, structure, and package modular AgentSkills so they are easy to discover, safe to run, and efficient for the agent to use.

Core Features & Use Cases

  • Skill architecture guidance: Explains how skills use SKILL.md frontmatter plus optional scripts/, references/, and assets/ to support progressive disclosure.
  • Write high-quality SKILL.md: Provides rules for clear, trigger-focused descriptions and lean instruction bodies to minimize context bloat.
  • Correct packaging workflow: Documents how to initialize and package skills using the provided tooling so validation passes before distribution.
  • Resource organization best practices: Recommends when to split large content into references/ and when to store deterministic logic in scripts/.

Quick Start

Use the skill to package a new agent skill by running scripts/init_skill.py for a template, updating SKILL.md and any needed resources, then running scripts/package_skill.py to validate and produce the distributable .skill file.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I package an AI agent skill for distribution?▼

Packaging an AI agent skill requires running scripts/init_skill.py for a template, updating SKILL.md and resources, then running scripts/package_skill.py to validate and produce the .skill file.

What is progressive disclosure in agent skill design?▼

Progressive disclosure in agent skill design uses SKILL.md frontmatter plus optional scripts/, references/, and assets/ directories to minimize context bloat and load resources only when needed.

How do I write efficient SKILL.md instructions?▼

Writing efficient SKILL.md instructions requires clear, trigger-focused descriptions and lean instruction bodies to minimize context bloat for the AI assistant framework.

How do I organize scripts and references in a skill directory?▼

Organize scripts and references in a skill directory by splitting large content into references/ and storing deterministic logic in scripts/ to maintain strict directory structure compliance.

Why does skill packaging validation fail on symlinks?▼

Skill packaging validation fails on symlinks to prevent symlinked or invalid skill contents from entering the distributable .skill archive and ensure safe execution.

Related Skills

Explore More Software Engineering Skills→
masa-codehubmasa-codehub

bootstrapping-skills

Generate Gemini CLI agent skill scaffolds with SKILL.md templates.

Community
Intermediate
SigmacodeatSigmacodeat

signal-detector

Capture inbound signals from incoming messages for event detection workflows.

Community
Basic
tiancaiamaotiancaiamao
5

skill-creator

Create and package AgentSkills with validated SKILL.md frontmatter and resources.

Community
Advanced
sanity-iosanity-io
173

sanity-best-practices

Scan directory roots for SKILL.md files and extract YAML frontmatter metadata.

Official
Basic