What does the Translation Workflow AI skill do?

Use when implementing translation workflows, managing translation memory, integrating machine translation, handling translation quality, and coordinating with translators. Includes TMS setup, translation memory management, and localization best practices. Based on localization industry standards.

Why use Translation Workflow on TypingMind?

Because you install it once and use it with any model. Translation Workflow 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 Translation Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/translation-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Translation Workflow?

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 Translation Workflow?

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

Is the Translation Workflow AI skill free?

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

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.

Translation Workflow by Omar-Obando — AI Skill for Any LLM

Translation Workflow Skill — Localization Engineer

Overview

This skill provides comprehensive guidance for implementing translation workflows and localization processes. It covers translation memory management, machine translation integration, translation quality, TMS setup, and localization best practices following localization industry standards.

When to Use

Use this skill when:

Implementing translation workflows
Setting up translation management systems (TMS)
Managing translation memory (TM)
Integrating machine translation (MT)
Ensuring translation quality
Coordinating with translators
Creating translation workflows
Managing translation assets
Implementing translation automation
Creating translation glossaries
Managing translation memory updates
Implementing translation quality checks
Coordinating translation projects
Managing translation costs
Implementing translation security
Creating translation documentation
Managing translation versioning
Implementing translation caching
Creating translation templates
Managing translation workflows
Implementing translation analytics
Coordinating translation teams
Managing translation localization
Implementing translation testing

Do NOT use this skill when:

Writing application business logic (use domain-driven skill)
Designing database schemas (use database-design skill)
Writing API endpoint specifications (use api-design skill)
Performing security audits (use security-auditor skill)
Writing SQL queries (use sql-best-practices skill)
Designing multi-page website layouts (use design-system skill)
Analyzing deployment configurations (use deployment skill)
Writing documentation (use documentation-best-practices skill)