Generate SKILL.md templates, validate frontmatter, and package skills into .skill files.
npx skills add https://github.com/jacexh/skills --skill skill-creator-jacexh
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/jacexh/skills/tree/main/skills/skill-creator Command: npx skills add https://github.com/jacexh/skills --skill skill-creator-jacexh
Provide a repeatable, structured process for creating, organizing, validating, and packaging AI agent skills so authors avoid ad-hoc formats and token-costly redundancies.
Run the init_skill.py script to create a new skill template, then run quick_validate.py and package_skill.py to validate and build the .skill file.
High-intent search queries and answers about installing and using this skill.
To package and validate reusable AI agent skills, run the init_skill.py script to scaffold a templated SKILL.md, populate required YAML frontmatter fields, run quick_validate.py to enforce structure, then execute package_skill.py to build a distributable .skill file.
SKILL.md files require YAML frontmatter containing mandatory name and description fields to pass validation. You can also include optional resource directories for organizing scripts, references, and assets alongside the file.
Create a new skill template by running the init_skill.py script, which generates a standardized SKILL.md file and example resource directories to organize scripts and references for tools like Gemini CLI and Claude Code.
Yes, YAML is a required dependency used to structure frontmatter in SKILL.md files. Mandatory name and description fields must be defined in YAML format before the quick_validate.py script can successfully validate and package the skill.
The skill scaffolding and packaging scripts enforce strict naming conventions and required frontmatter fields as quality gates. If your SKILL.md lacks the mandatory YAML name or description fields, the quick_validate.py script will prevent packaging.
The best way to distribute validated agent skills locally is to run package_skill.py after passing quick_validate.py, which bundles your SKILL.md, scripts, references, and assets into a distributable .skill file for local installation.
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