Guide developers through creating, structuring, and packaging new Skills.
npx skills add https://github.com/Delay-n-days/dbcjson5 --skill create-skill-delay-n-days
Please help me install this Agent Skill. Skill: create-skill Source: https://github.com/Delay-n-days/dbcjson5/tree/main/.github/skills/create-skill Command: npx skills add https://github.com/Delay-n-days/dbcjson5 --skill create-skill-delay-n-days
This Skill provides a comprehensive guide for developers to create, structure, and package new Skills, ensuring consistency and adherence to best practices.
SKILL.md Specification: Details the mandatory YAML frontmatter and recommended Markdown structure..skill files for distribution.SKILL.md documentation, and how to package their Python scripts.Follow the detailed instructions in this Skill to create a new Skill.
High-intent search queries and answers about installing and using this skill.
To structure a new Skill for publishing, follow a standard directory layout containing your Python scripts, references, and a mandatory SKILL.md file. This organization ensures your packaging processes yield maintainable and discoverable tools.
The SKILL.md documentation requires a mandatory YAML frontmatter block followed by a recommended Markdown structure. Adhering to these strict documentation standards ensures your Skill is discoverable and maintainable for other developers.
You package Python scripts into a .skill file by following the Skill's packaging processes, which bundle your directory structure and components. This creates a distributable archive for your reusable tools.
Best practices for scripting in Skill development include proper dependency management and robust error handling within your Python scripts. These guidelines ensure your reusable tools function reliably when packaged and published.
No dependencies are required to create and package a Skill. The guide provides a comprehensive checklist for directory structure, documentation, and packaging processes, allowing you to extend functionality using only standard Python scripting practices.
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