skillify

A reusable skill draft requires structured inputs, ordered steps, explicit success criteria, pitfalls, and verification evidence. It must also include a skill placement decision and learned-skill file formatting with YAML frontmatter and correct storage path rules.

You capture and reuse a non-obvious decision-heavy workflow by applying a quality gate that filters out generic boilerplate. The process extracts repeatable session steps and outputs a complete learned-skill file with YAML frontmatter for flat file storage.

You should save a workflow as a learned skill instead of documentation when the multi-step process is likely to be reused across sessions or projects. A skill placement decision evaluates whether the workflow belongs as a repo-built-in, a learned/project skill, or documentation only.

The correct file format for a learned skill draft starts with YAML frontmatter and follows learned skill path conventions for flat file storage. This structured format captures inputs, steps, constraints, and verification evidence for process reuse.