aif-distillation

Knowledge distillation converts technical documentation into agent skills by segmenting source materials like PDFs or URLs and generating compact, operational rules. This process turns complex guides into actionable instructions that agents can directly access and apply.

Splitting a large project guide into focused agent skills relies on material segmentation based on document structure. You generate a split set of skills, allowing agents to access relevant procedural information quickly without processing the entire guide.

Yes, you need Python 3 to process materials and generate agent skills. Material preparation requires Python 3 for the material-prep.py script, while the generated skill itself requires Python 3.6 or higher for execution within your environment.

Yes, you can use URLs and folders as source materials for knowledge distillation. The process accepts diverse inputs including books, documents, folders, and URLs, converting them into compact agent skills that embed the best practices found in those sources.

Knowledge distillation and skill generation work with technical documentation, procedural guides, and domain-specific know-how. The process accepts books, documents, folders, or URLs, converting these diverse source materials into operational agent skills.

Generate a single skill for concise materials or a split set of skills for complex project guides with multiple major parts. Splitting allows agents to access relevant information quickly, reducing the need to process an entire large document for a specific task.