skill-creator

Structure an AI agent skill using a standard anatomy with a SKILL.md file, alongside scripts, references, and assets directories. This layout separates core instructions from executable code and supporting documentation, ensuring agents can parse and execute specialized workflows efficiently.

Best practices for AI skill development emphasize conciseness, progressive disclosure, and setting degrees of freedom. These principles ensure your skill provides specialized knowledge without overwhelming the agent, allowing it to handle specific tasks effectively.

The step-by-step process for creating AI skills involves planning the workflow, structuring the SKILL.md and directories, iteratively refining the instructions, and packaging the components. This ensures your custom knowledge is ready for agent deployment.

Yes, you can use this guidance to build skills for interacting with custom APIs or processing specific data like financial reports. It provides the structural framework needed to map external API interactions into a format the AI agent can execute.

Use progressive disclosure in AI documentation when a skill requires extensive context but must maintain conciseness. It allows the agent to access deeper layers of information only when needed, preventing context overload during initial task execution.