ion-agent-skill-authoring

Create and validate in-repo Ion Agent skills with YAML frontmatter and structure rules.

7|1|Updated Jul 26, 2026

Search Tags:#automation #workflow #validation #yaml #skill-authoring #ion-agent

Ready to run

npx skills add https://github.com/paxlabs-inc/ion-agent --skill ion-agent-skill-authoring

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ion-agent-skill-authoring
Source: https://github.com/paxlabs-inc/ion-agent/tree/main/skills/software-development/ion-agent-skill-authoring
Command: npx skills add https://github.com/paxlabs-inc/ion-agent --skill ion-agent-skill-authoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill provides a rigorous framework for creating and maintaining high-quality, in-repo skills for the Ion Agent, ensuring consistency and reliability across the codebase.

Core Features & Use Cases

Standardized Authoring: Enforces mandatory frontmatter, structure, and writing-quality principles to ensure skills are predictable and effective.
Automated Validation: Provides logic to verify that skills meet size constraints, structural requirements, and formatting rules before they are committed.
Use Case: When you need to add a new reusable workflow to the repository, use this skill to ensure your SKILL.md file follows the peer-matched structure and passes all validator checks.

Quick Start

Use the ion-agent-skill-authoring skill to validate the structure and frontmatter of the new skill file located in the software-development category.

Frequently Asked Questions about ion-agent-skill-authoring

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

FAQPage Schema

How do I standardize YAML frontmatter for agent workflow validation?▼

To standardize YAML frontmatter for agent workflow validation, use this skill to enforce mandatory metadata fields, structural conventions, and strict content length limits before committing your workflow files. It ensures seamless integration with the skill loader.

What is the best way to validate in-repo skill units before committing?▼

The best way to validate in-repo skill units is to run automated checks that verify SKILL.md files meet directory pattern requirements, structural formatting rules, and size constraints. This prevents malformed skills from breaking the agent ecosystem.

Does the Ion Agent skill loader require specific directory patterns?▼

Yes, the Ion Agent skill loader requires adherence to defined directory patterns and strict YAML frontmatter conventions. Validating your repository structure against these patterns ensures your custom workflows load seamlessly without integration errors.

Why does my custom agent workflow fail structural validation checks?▼

Custom agent workflows fail structural validation checks when SKILL.md files violate mandatory frontmatter requirements, exceed defined content length limits, or do not follow peer-matched structural conventions required by the skill loader.

Can I automate skill authoring checks for high-quality YAML workflows?▼

Yes, you can automate skill authoring checks by running validation scripts that verify YAML frontmatter, writing-quality principles, and size constraints. This enforces predictable and effective skill creation across your codebase.

When do I need strict content length limits for reusable agent workflows?▼

You need strict content length limits for reusable agent workflows when integrating in-repo skill units into the Ion Agent ecosystem. Enforcing these constraints during skill authoring guarantees consistent execution and prevents loader failures.