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Agent skill

Skillify

by Yeachan-Heo in Yeachan-Heo/oh-my-claudecode

Turns a repeatable workflow from the current session into a draft oh-my-claudecode skill, after a quality gate on whether it is worth capturing.

MITAuto-check passedAgent Workflows

Install Skillify

skills CLI
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill skillify -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Yeachan-Heo/oh-my-claudecode skillify --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-claudecode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skillify .claude/skills/skillify && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skillify
GitHub stars
40k
Token cost
~641 tokens
SKILL.md length
306 words
Files
1
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

Turns a repeatable workflow from the current session into a draft oh-my-claudecode skill, after a quality gate on whether it is worth capturing.

  • Works in 6 steps: Identify the repeatable task the session… → Extract → Decide whether the workflow belongs as → …
  • Finishing a session that solved a tricky, project-specific procedure
  • SKILL.md covers Goal, Quality Gate, Workflow and Rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

This skill captures a multi-step workflow that worked in the current session as a concrete skill draft, so it is not rediscovered later. A quality gate comes first: the workflow should not be something a quick web search would answer, should be specific to the codebase or project, and should have cost real debugging, design or operational effort. Generic snippets and library usage examples are rejected.

If it passes, the agent extracts the inputs, ordered steps, success criteria, pitfalls, verification evidence and best storage location, then decides between a built-in repo skill, a learned user or project skill, or documentation only. Learned skills must be complete files that start with YAML frontmatter, saved under the omc-learned skills folder in the Claude config directory or in .omc/skills. The output lists a proposed name, target location, draft, quality-gate notes and open questions.

When your agent uses it

  • Finishing a session that solved a tricky, project-specific procedure
  • Deciding whether a debugging workflow deserves its own skill or only documentation
  • Drafting a skill file with frontmatter, steps and success criteria

Example prompts

  • “Skillify the deployment rollback procedure we just worked out.”
  • “Turn the way we fixed the flaky CI cache into a reusable skill draft.”
  • “Is the migration workflow from this session worth a skill, or should it stay as docs?”

Requirements

  • A session that contains the workflow to capture

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Identify the repeatable task the session accomplished.
  2. Extract
  3. Decide whether the workflow belongs as
  4. When drafting a learned skill file, output a complete skill file that starts with YAML frontmatter.
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 454bae0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skillify loads about 641 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 306 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~641

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Yeachan-Heo/oh-my-claudecode at commit 454bae0, republished under its MIT licence (© Yeachan-Heo). 306 words, ~641 tokens.

Download SKILL.mdSave it as .claude/skills/skillify/SKILL.md (or your agent's skills folder).
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:
      yaml
      ---
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

© Yeachan-Heo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/skillify of Yeachan-Heo/oh-my-claudecode.

Open the folder on GitHubat commit 454bae0

Compare with similar skills

Skillify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skillify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skillify this skillYeachan-Heo/oh-my-claudecode40k—~641Automated safety check: PassMIT
Skill CreatorAzure/azqr79589 repos~8.2kAutomated safety check: PassApache-2.0
Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase10k11 repos~3.5kAutomated safety check: PassMIT
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
Claude Code Command Developmentanthropics/claude-plugins-official38k10 repos~4.8kAutomated safety check: PassApache-2.0
Claude Code Plugin Structureanthropics/claude-plugins-official38k10 repos~3.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Skillify

What does Skillify do?

Turns a repeatable workflow from the current session into a draft oh-my-claudecode skill, after a quality gate on whether it is worth capturing. This skill captures a multi-step workflow that worked in the current session as a concrete skill draft, so it is not rediscovered later. A quality gate comes first: the workflow should not be something a quick web search would answer, should be specific to the codebase or project, and should have cost real debugging, design or operational effort.

When should I use Skillify?

Skillify fits situations like: finishing a session that solved a tricky, project-specific procedure; deciding whether a debugging workflow deserves its own skill or only documentation; drafting a skill file with frontmatter, steps and success criteria.

How do I install Skillify in Claude Code?

Run `npx skills add Yeachan-Heo/oh-my-claudecode --skill skillify -a claude-code`. Or copy the skill folder (skills/skillify in Yeachan-Heo/oh-my-claudecode) into .claude/skills/skillify in your project. Claude Code loads it when a task matches its description.

How do I install Skillify in Codex?

Run `npx skills add Yeachan-Heo/oh-my-claudecode --skill skillify -a codex`. Or copy the skill folder (skills/skillify in Yeachan-Heo/oh-my-claudecode) into .agents/skills/skillify in your project. Codex loads it when a task matches its description.

Can I use Skillify in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Yeachan-Heo/oh-my-claudecode --skill skillify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skillify, .gemini/skills/skillify, .github/skills/skillify and .opencode/skills/skillify in your project.

What does Skillify need to run?

SKILL.md names no scripts, command-line tools or credentials: Skillify is instructions for the agent only. Our summary lists: A session that contains the workflow to capture.

Does Skillify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skillify safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skillify use?

Skillify is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skillify use?

About 641 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skillify?

Skills that share tags, products or a category with Skillify: Skill Creator (Azure/azqr, 795 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Claude Code Command Development (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skillify?

Yeachan-Heo (a GitHub user) maintains it in Yeachan-Heo/oh-my-claudecode, which has 39,662 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on October 7, 2026.

Source: Yeachan-Heo/oh-my-claudecode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.