skill-architect

To create a new AI agent skill, you follow a structured multi-phase development process covering design, architecture, instruction writing, and validation. This ensures your agentic workflow meets performance best practices and user needs precisely.

The best way to structure a SKILL.md file is by enforcing naming conventions, progressive disclosure, and clear instructions. A structured architecture phase helps define exact steps and suggest optimal patterns for your agentic workflow.

Yes, you need Python3 installed in your environment to support the creation of associated scripts and reference documentation. It acts as the runtime for validating and executing the generated agent skill components.

Yes, you can use this to automate prompt engineering for repetitive tasks by asking clarifying questions to define exact steps. It guides you through a 5-phase workflow from discovery to final delivery of your skill.

The limitation of using a structured workflow for skill creation is the rigid adherence to a 5-phase development process, which may require significant upfront design time before writing any actual instructions or scripts.