Guide users through creating, initializing, and packaging AI skills.
npx skills add https://github.com/kofttlcc/quant-test --skill skill-creator-kofttlcc
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/kofttlcc/quant-test/tree/main/.agent/skills/skill-creator Command: npx skills add https://github.com/kofttlcc/quant-test --skill skill-creator-kofttlcc
This Skill provides a comprehensive guide and process for creating, initializing, and packaging new AI skills, ensuring they are effective, well-documented, and ready for deployment.
Use the skill-creator to guide me through creating a new skill for summarizing meeting transcripts.
High-intent search queries and answers about installing and using this skill.
Creating AI skills involves defining the purpose, planning reusable contents like scripts and references, initializing the directory, editing SKILL.md, and packaging it for deployment. This structured approach ensures your AI skills are effective and ready for distribution.
Initializing an AI skill directory uses an automated script to generate a template with all necessary files. This provides the foundational directory layout required before editing bundled resources and packaging the final skill.
Progressive disclosure in AI skill creation emphasizes iterative development by structuring documentation and bundled resources to reveal complexity gradually. This ensures AI skills remain effective and well-documented without overwhelming the user.
Prior prompt engineering experience is beneficial but not strictly required, as the skill creation process guides you through understanding requirements and writing documentation. It covers planning reusable contents and editing SKILL.md to ensure effective AI skill deployment.
The best way to validate AI skill integrity is by using an included validation script to check the skill directory and bundled resources. This ensures your AI skill is correctly packaged into a distributable format before final deployment.
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