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Skillify

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Yeachan-Heo
skillify

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

Overview

PublisherYeachan-Heo
Repositoryoh-my-claudecode
Skill nameskillify
Stars
39.2K
Forks
3.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Yeachan-Heo on GitHub. Read the source before you install it.

Installation

Install the Skillify AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-claudecode.git /tmp/oh-my-claudecode
mkdir -p .claude/skills
cp -r /tmp/oh-my-claudecode/skills/skillify .claude/skills/skillify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skillify in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skillify on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skillify is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Skillify AI skill do?

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

Why use Skillify on TypingMind?

Because you install it once and use it with any model. Skillify is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skillify in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/skillify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skillify?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skillify?

As many as you like. As long as a model supports skills, you can use Skillify with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skillify AI skill free?

Yes. It is published on GitHub by Yeachan-Heo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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