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Omc Review

CommunityPopular
Yeachan-Heo
omc-review

Evaluate finished work for defects, risk, and simplification before it ships

Overview

PublisherYeachan-Heo
Repositoryoh-my-claudecode
Skill nameomc-review
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 Omc Review 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/review .claude/skills/omc-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omc Review 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 Omc Review 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 Omc Review 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.

Review

Use this skill to evaluate work that already exists. Review never authors the change it is judging.

This is the canonical review workflow. merge-readiness routes here, and ai-slop-cleaner is an opt-in lane within it.

Goal

Find what is actually wrong, ranked by severity, with enough detail to act on.

Workflow

  1. Establish what changed and what it was meant to do.
  2. Read the change against that intent.
  3. Check correctness first, then risk, then simplification.
  4. Verify each candidate finding before reporting it.
  5. Report findings most-severe first.

What to check

  • Correctness — logic defects, edge cases, error paths, concurrency
  • Risk — security boundaries, destructive operations, data integrity
  • Reuse — existing utilities or patterns the change should have used
  • Simplification — code that could be deleted or collapsed
  • Coverage — behavior that ships untested

Rules

  • Separate lanes: the reviewer must not be the author's same active context.
  • Verify before reporting. A plausible-sounding finding that does not reproduce is noise.
  • State severity honestly; do not pad the list to look thorough.
  • "No findings" is a valid result when the work is sound.
  • Advisory by default — review informs, it does not gate. Hard gates (release, security, destructive operations) stay separate and fail closed.

Output

  • Findings, most-severe first, each with file, line, and concrete failure scenario
  • What was checked and found clean
  • Anything that could not be assessed

Frequently asked questions

What does the Omc Review AI skill do?

Evaluate finished work for defects, risk, and simplification before it ships

Why use Omc Review on TypingMind?

Because you install it once and use it with any model. Omc Review 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 Omc Review in TypingMind?

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

Which AI models can use Omc Review?

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 Omc Review?

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

Is the Omc Review 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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