skill-creator

To create effective AI skills for Claude, you should follow a structured process: understand skill anatomy, plan the skill's scope, initialize the package, edit the core files, package the resources, and iterate based on testing and best practices like conciseness.

The anatomy of a modular skill package consists of a primary SKILL.md file for instructions, alongside a scripts directory for executable code, a references folder for documentation, and an assets directory for supporting files.

Progressive disclosure manages context in AI development by structuring skill data across metadata, the SKILL.md body, and bundled resources, ensuring the AI loads only the necessary information to maintain efficiency and reduce token usage.

Core principles for building tool integrations as skills include maintaining strict conciseness in instructions, setting appropriate degrees of freedom for the AI, and organizing bundled resources to support progressive disclosure effectively.

You need foundational developer experience to build extensions for AI platforms, as the process involves initializing packages, writing scripts, managing context, and iterating on prompt engineering workflows within a software engineering environment.

You should not use a modular skill package approach if your task requires real-time dynamic execution not supported by bundled scripts, or if the integration lacks the clear, discrete workflows needed to benefit from progressive disclosure.