skill-creator

To convert recurring workflows into reusable agent skills, you follow a structured authoring lifecycle that captures intent, drafts procedures, tests, and registers a formal skill file. This process formalizes repeatable tasks into agent-usable instructions.

The best way to document operational runbooks for AI agents is to transform them into structured Markdown files with required frontmatter. This ensures agents can discover and reliably activate the documented procedures without relying on ad-hoc instructions.

Knowledge capture for team onboarding procedures works by interviewing team members to extract tacit knowledge, drafting it into a procedural Markdown body, and evaluating the result. This converts tribal knowledge into formal, agent-activated skill files.

You need to create a Markdown file containing a SKILL.md frontmatter with a name and description, adhering to a skill contract. The body must contain procedural Markdown that provides clear triggers for the agent to activate appropriately.

Yes, you can use skill templates for converting tribal knowledge into agent workflows. The authoring process applies to teams creating agent workflows, ensuring consistency and discoverability through required frontmatter and clear activation triggers.

You should not use structured skill authoring for deployment checklists if the workflow is purely ad-hoc and non-repeatable. This approach is specifically designed for formalizing multi-step procedures that recur consistently within team operations.