Catalog
Yeachan-Heo/skillify

Yeachan-Heo

skillify

Turn a repeatable workflow from the current session into a reusable OMC skill draft

NewUpdated Sep 11, 2026

Skillify

Use this skill when the current session uncovered a repeatable workflow that should become a reusable OMC skill.

Goal

Capture a successful multi-step workflow as a concrete skill draft instead of rediscovering it later.

Quality Gate

Before extracting a skill, all three should be true:

  • "Could someone Google this in 5 minutes?" → No.
  • "Is this specific to this codebase, project, or workflow?" → Yes.
  • "Did this take real debugging, design, or operational effort to discover?" → Yes.

Prefer skills that encode decision-making heuristics, constraints, pitfalls, and verification steps. Avoid generic snippets, boilerplate, or library usage examples that belong in normal documentation.

Workflow

  1. Identify the repeatable task the session accomplished.
  2. Extract:
    • inputs
    • ordered steps
    • success criteria
    • constraints / pitfalls
    • verification evidence
    • best target location for the skill
  3. Decide whether the workflow belongs as:
    • a repo built-in skill
    • a user/project learned skill
    • documentation only
  4. When drafting a learned skill file, output a complete skill file that starts with YAML frontmatter.
    • Never emit plain markdown-only skill files.
    • Do not write plain markdown without frontmatter.
    • Minimum frontmatter:
      ---
      name: <skill-name>
      description: <one-line description>
      triggers:
        - <trigger-1>
        - <trigger-2>
      ---
      
    • Write learned/user/project skills to flat file-backed paths:
      • ${CLAUDE_CONFIG_DIR:-~/.claude}/skills/omc-learned/<skill-name>.md
      • .omc/skills/<skill-name>.md
    • Remember that uncommitted skills are still worktree-local until committed or copied to a user-level directory.
  5. Draft the rest of the skill file with clear triggers, steps, success criteria, and pitfalls.
  6. Point out anything still too fuzzy to encode safely.

Rules

  • Only capture workflows that are actually repeatable.
  • Keep the skill practical and scoped.
  • Prefer explicit success criteria over vague prose.
  • If the workflow still has unresolved branching decisions, note them before drafting.
  • Keep omc-learned as the storage directory name for compatibility; do not present it as the public invocation name.

Output

  • Proposed skill name
  • Target location
  • Draft workflow structure or complete skill file
  • Verification or quality-gate notes
  • Open questions, if any
Files1
1 files · 1.0 KB

Select a file to preview

Overall Score

82/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

88

Quality

80

Clarity

82

Completeness

76

Summary

Skillify is a meta-skill that guides AI agents to convert successful workflows from the current session into reusable OMC skill drafts. It provides a structured quality gate, extraction workflow, and output format to ensure captured skills are genuinely repeatable, project-specific, and worth encoding as documentation.

Detected Capabilities

file writestructured analysisworkflow extractiondecision guidance

Trigger Keywords

Phrases that agents use to match this skill to user intent.

convert workflow to skillcapture repeatable patterndraft skill fileextract session knowledgeencode operational workflow

Use Cases

  • Convert a multi-step debugging workflow into a reusable skill
  • Capture project-specific operational patterns before they're forgotten
  • Decide whether a workflow should become a built-in skill, learned skill, or documentation
  • Draft skill files with proper YAML frontmatter and structured guidance
  • Identify fuzzy or unresolved branching in workflows before encoding them

Quality Notes

  • Clear quality gate with three testable conditions prevents over-engineering trivial workflows
  • Emphasizes decision-making heuristics and pitfalls over boilerplate, which aligns with high-value skill design
  • Explicit rules about YAML frontmatter and file paths ensure consistent, usable skill output
  • Workflow step 6 ('Point out anything still too fuzzy') encourages critical assessment before finalizing
  • Output section is concrete and actionable — agent knows exactly what to produce
  • No examples or templates provided for skill structure — agent must infer format from rules alone (minor clarity gap)
  • Instructions on storing learned skills to `${CLAUDE_CONFIG_DIR:-~/.claude}/skills/omc-learned/` or `.omc/skills/` are clear, though no validation guidance for checking if paths exist
Model: claude-haiku-4-5-20251001Analyzed: Sep 11, 2026

Reviews

Add this skill to your library to leave a review.

No reviews yet

Be the first to share your experience.

Version History

  1. v1.2

    Content updated

    ✦ AIAdds quality gate criteria before skill extraction and clarifies skill file output requirements.

    2026-09-11

    LATEST
  2. v1.1

    Content updated

    ✦ AISpecifies YAML frontmatter requirement and file paths for learned skills, replaces general drafting guidance.

    2026-04-20

    View This Version
  3. v1.0

    2026-04-03

    View This VersionInitial version

Use Yeachan-Heo/skillify in your dev environment

Command Palette

Search for a command to run...