Guide the creation of modular AI skills with SKILL.md structure and best practices.
npx skills add https://github.com/hokix/dotfiles --skill skill-creator-hokix
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/hokix/dotfiles/tree/main/ai/.agents/skills/skill-creator Command: npx skills add https://github.com/hokix/dotfiles --skill skill-creator-hokix
This Skill provides guidance and best practices for creating effective, modular, and efficient AI skills, ensuring they extend Claude's capabilities without unnecessary token usage.
Use the skill-creator skill to learn how to create a new skill.
High-intent search queries and answers about installing and using this skill.
Structure an AI skill using SKILL.md, scripts/, references/, and assets/ directories. This modular design ensures efficient context management and progressive disclosure, extending capabilities without unnecessary token usage.
Best practices for AI skill documentation include maintaining conciseness, applying progressive disclosure, and setting appropriate degrees of freedom. These principles ensure efficient context management and modular design throughout the development process.
Package a new skill for an internal API by following the step-by-step development process: outline the skill anatomy, bundle resources like scripts and references, and finalize the package for deployment.
Progressive disclosure in AI skill creation is a design principle that structures documentation and resources to reveal information only as needed. This minimizes unnecessary token usage while extending Claude's capabilities effectively.
Creating AI skills requires understanding of skill anatomy and modular design principles. The guide provides comprehensive step-by-step instructions for structuring, developing, and packaging skills, making the process accessible for developers.
Use modular design for AI skills when extending capabilities to interact with specific systems like internal APIs. This approach ensures efficient context management and prevents unnecessary token consumption during execution.
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