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Omh Localization Review

CommunityPopular
rlaope
omh-localization-review

[omh] Make a product or content release locale-ready with terminology, cultural-fit, and quality-review guidance. Use when the user says: localization review, translation QA, locale glossary, 현지화 검토, 번역 QA, 용어집.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-localization-review
Stars
2.7K
Forks
194
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 rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Localization 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/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-localization-review .claude/skills/omh-localization-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Localization 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 Omh Localization 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 Omh Localization 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.

Localization Review

This is an OMH localization-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

localization-review makes terminology, context, cultural fit, and locale QA reviewable without treating a drafted translation as a published or visually validated release.

Do Not Use When

  • The request is a short sentence or word translation or rewrite with no product or locale QA context; answer directly or use content-operator.
  • The user needs fresh rendered UI evidence, clipping checks, or a visual PASS/REVISE/BLOCK verdict; use visual-qa.
  • The user asks to edit locale files, push a translation-management-system job, publish strings, or configure localization settings; use workspace-file-operator or connector-operator with explicit target and authority.
  • The request asks for a regulatory or contractual conclusion about translated legal text; use legal-compliance-review.

Examples

Good example:

  • Prompt: Review our Korean checkout strings for terminology consistency, cultural fit, and context gaps before launch.
  • Expected behavior: Prepare the locale and source-version brief, glossary choices, issue matrix, and locale QA criteria.
  • Why: The product-release context needs localization review beyond a one-off translation.

Bad example:

  • Prompt: Translate 'Your trial ends tomorrow' into Korean.
  • Expected behavior: Answer directly or route to content-operator, not localization-review.
  • Why: A one-off sentence has no product locale QA or release-review objective.

Completion Checklist

  • Findings or no-issue results are grounded in concrete file, artifact, command, or source evidence.
  • Open questions, residual risk, and missing verification are named.
  • Fixes or follow-up work are separate handoffs unless the user explicitly asked to implement them.

Recovery Notes

  • If the reviewed target is missing, inspect the requested artifact or ask one target question.
  • If independent verification is unavailable, report the gap and avoid an approval-style claim.

Use When

Use when multiple strings, a product surface, a market release, or a locale-sensitive document needs terminology, context, consistency, cultural-fit, and QA guidance beyond one-off translation.

Strong routing signals: `localization review`, `translation QA`, `locale glossary`, `현지화 검토`, `번역 QA`, `용어집`

Catalog Metadata

Category: review Phase: localization-review Quality tier: review-gated Reasoning demand: standard

Quality bar:

  • Ground terminology and cultural-fit choices in locale, audience, context, and source version.
  • Make string severity, review ownership, and rendered QA gaps explicit.

Required inputs:

  • locale
  • audience
  • source version
  • product or content context

Expert clarification questions:

  • locale
    • English: Which target locale should this localization review cover?
    • Korean: 이 현지화 검토의 대상 로캘은 무엇인가요?

Expected outputs:

  • locale/audience/context and source-version brief
  • approved-term glossary and transcreation/localization choices
  • string/content issue matrix with context, severity, and review owner
  • locale QA acceptance criteria and handoff/observed-evidence gaps

Artifact expectations:

  • prepared localization review when a wrapper captures it

Safety rules:

  • Separate language guidance from rendered UI evidence and market approval.
  • Do not claim locale-file changes, translation upload, publication, or rendered validation.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Report actual tool results or not_observed / not_available; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Frequently asked questions

What does the Omh Localization Review AI skill do?

[omh] Make a product or content release locale-ready with terminology, cultural-fit, and quality-review guidance. Use when the user says: localization review, translation QA, locale glossary, 현지화 검토, 번역 QA, 용어집.

Why use Omh Localization Review on TypingMind?

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

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

Which AI models can use Omh Localization 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 Omh Localization Review?

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

Is the Omh Localization Review AI skill free?

Yes. It is published on GitHub by rlaope 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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