Scaffold modular AI Skills with SKILL.md templates and resource structure.
npx skills add https://github.com/rory-data/copilot --skill skill-creator-rory-data
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/rory-data/copilot/tree/main/skills/skill-creator Command: npx skills add https://github.com/rory-data/copilot --skill skill-creator-rory-data
The Skill Creator provides a standardized, self-contained blueprint for designing, documenting, and packaging AI Skills, ensuring consistency and reusability across projects.
Run the init_skill.py script to scaffold a new skill directory, then customize SKILL.md and the example resources as needed.
High-intent search queries and answers about installing and using this skill.
To create a reusable AI skill template, use a standardized blueprint that defines frontmatter, body structure, and progressive disclosure patterns. This ensures consistency and reusability across projects by providing a self-contained development guide with optional bundled resources.
The best way to scaffold a new skill directory is to run an initialization script that generates the required SKILL.md file and optional resource folders like scripts, references, and assets. This structures your project for repeatable skill design and distribution-ready packaging.
Progressive disclosure in modular AI skills works by structuring the SKILL.md body to reveal complexity gradually, using bundled resources like scripts and references only when needed. This pattern keeps the core skill lightweight while supporting advanced validation and packaging workflows.
You do not need bundled scripts and assets to validate a custom skill workflow, as they are optional. The core skill blueprint focuses on frontmatter and body structure, but including scripts and assets can enhance automation, documentation, and packaging for complex workflows.
Yes, you can use this skill creation blueprint for team-level automation and repeatable templates. It serves as a development blueprint that encapsulates best practices for skill design, documentation, and packaging, ensuring standardized AI skill creation across multiple projects.
The limitations of using standard templates for AI skill packaging include potential rigidity in highly customized workflows. While the blueprint provides frontmatter and validation standards, projects requiring unconventional resource structures or non-standard progressive disclosure patterns may find the modular constraints limiting.
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