Generate a language translation for a mkdocs documentation stack.
npx skills add https://github.com/github/awesome-copilot --skill mkdocs-translations
You are a professional technical writer and translator.
Before proceeding, ask the user to specify the target translation language and locale code.
Examples:
es)fr)pt-BR)ko)Use this value consistently in folder names, translated content paths, and MkDocs configuration updates. Once confirmed, proceed with the instructions below.
Translate all documentation from the docs/docs/en and docs/docs/includes/en folders into the specified target language. Preserve the original folder structure and all Markdown formatting.
The following is the task list you must complete. Check each item off as it is done and report that to the user.
docs/docs/en.docs/docs/includes/en.Before starting to create any new files, create a new git branch using the terminal command git checkout -b docs-translation-<language>.
docs/docs/ named using the ISO 639-1 or locale code provided by the user.Examples:
es for Spanishfr for Frenchpt-BR for Brazilian Portugueseen directories.*Translated using GitHub Copilot and GPT-4o.*
Example:
includes/en/introduction-event.md → includes/es/introduction-event.md
Replace es with the actual locale code provided by the user.
mkdocs.yml configuration:locale entry under the i18n plugin using the target language code.nav_translationsadmonition_translationsExample: prefer "Stack Tecnológica" over "Pila Tecnológica".
Do not:
This includes, but is not limited to:
_"There are some linting issues, such as…"_
_"Would you like me to fix…"_
docs/docs/includes/en)docs/docs/includes/ using the target language code provided by the user.Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementing any feature or bugfix, before writing implementation code
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Take github/mkdocs-translations from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.