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Agent Orchestration
Skill

/skillify

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

From plugin
oh-my-claudecode
39k39 skills21 agents21 commands11 hooks
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Install
$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill skillify --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/skillify

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

skillify.SKILL.md
name: skillify
description: Turn a repeatable workflow from the current session into a reusable OMC skill draft

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
Read more
Ships withoh-my-claudecode

For Codex users: Check out oh-my-codex — the same orchestration experience for OpenAI Codex CLI. Liked OmC but found it a bit overkill? Try gajae-code.

Get the whole plugin

Other skills on oh-my-claudecode.