skill-extractor

To turn chat conversations into reusable automation templates, provide a dialogue example with a repeatable task pattern. The extractor scans for recurring multi-step workflows and generates a standardized SKILL.md definition with frontmatter, activation keywords, and step-by-step instructions.

A SKILL.md definition is a standardized template that standardizes conversational AI workflows by capturing recurring dialogue patterns. It includes frontmatter with a name and description, activation keywords, tools used, and step-by-step instructions to enable automatic skill suggestion and creation.

Yes, you can manually review and refine a generated skill template before saving it. The extractor allows human review of the standardized SKILL.md structure, ensuring the frontmatter, activation keywords, and step-by-step instructions accurately reflect the domain-specific workflow before committing.

Yes, the skill extractor works with multi-step workflows and domain-specific knowledge. It applies pattern recognition to conversations with repeated task sequences, converting the identified domain-specific logic into a ready-to-use SKILL.md template that follows project conventions.

The best way to generate a SKILL.md file from an existing conversation is to provide a dialogue example that reveals a repeatable skill pattern. The extractor identifies the recurring sequence and outputs a ready-to-use SKILL.md structure with required frontmatter and descriptive content.