source-to-skill

To turn source material into a reusable skill packet, provide your text or notes to distill core methods into durable units like task_signature, taste_rubric, and operator_rules for handoff.

Distilling methods from a book or blog into reusable rules involves extracting evaluation criteria and routing decisions to form a structured skill candidate packet for traceable reuse.

Yes, you can use mixed sources like personal notes and theory documents. The process classifies input bundles to decide whether to create a new skill or keep it as reference-only.

Yes, the skill packet output enforces a standardized schema and references guidelines to ensure the structured candidate is traceable and ready for a skill-creator.

You should not create a new skill when the input bundle classification determines the material should instead extend an existing skill, route to an adjacent one, or remain reference-only.

Source material needs classification to evaluate routing decisions, ensuring the extracted methods and operator_rules are accurately matched to either a new candidate or an existing reference.