Mvvm Architecture logo

Mvvm Architecture

Organization
LedgerHQ
mvvm-architecture

Plan, review, and develop desktop and mobile app features following our MVVM architectural pattern. Applies to all new .ts and .tsx files within /apps/ledger-live-desktop or /apps/ledger-live-mobile

Overview

PublisherLedgerHQ
Repositoryledger-live
Skill namemvvm-architecture
Stars
622
Forks
491
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 LedgerHQ on GitHub. Read the source before you install it.

Installation

Install the Mvvm Architecture 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.
    https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/mvvm-architecture
  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/LedgerHQ/ledger-live.git /tmp/ledger-live
mkdir -p .claude/skills
cp -r /tmp/ledger-live/.agents/skills/mvvm-architecture .claude/skills/mvvm-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mvvm Architecture 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 Mvvm Architecture 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 Mvvm Architecture 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.

MVVM Architecture

The new standard for desktop and mobile apps

  • New code for ledger-live-desktop and ledger-live-mobile must go into src/mvvm/
  • Eventually no feature code within these apps will live outside of src/mvvm
  • New features, screens, components, hooks, and utilities belong in src/mvvm/
  • Code changes with src/mvvm must conform to these mvvm patterns
  • Code reviews enforce strict adherence

Folder Structure

src/mvvm/
├── features/
│   └── FeatureName/
│       ├── __integrations__/    ← mandatory integration tests
│       ├── components/          ← reusable UI across screens
│       ├── screens/             ← individual screen folders
│       ├── hooks/               ← feature-specific hooks
│       └── utils/               ← feature-scoped utilities
├── components/                  ← global shared UI
├── hooks/
└── utils/

Feature Folder Responsibilities

  • components/ gathers reusable UI elements across multiple screens.
  • screens/ contains individual screen folders and their private building blocks.
  • hooks/ contains feature-specific reusable hooks.
  • utils/ contains feature-scoped utilities.

Nesting Guidelines

  • Place elements inside the closest folder matching their reuse scope.
  • Screen-specific building blocks stay inside the screen folder.
  • Feature-level components belong to FeatureName/components/.
  • Global shared UI belongs to src/mvvm/components/.

Component & File Patterns

  • Each component in its own folder with index.tsx as entry.
  • ViewModel hooks always named use<ComponentName>ViewModel.ts.
  • Support files alongside: types.ts, styles.ts.
  • Use List / Detail naming for multi-view workflows.
  • Utilities stay in utils/, separate from component folders.

ViewModel Pattern

Components needing external logic use Container → ViewModel → View:

  • The ViewModel produces data and handlers.
  • The View receives everything via props — no direct hook calls to external systems.

Violation checklist — flag if any index.tsx View under screens/ or components/ within src/mvvm/:

  • Imports useSelector or useDispatch from react-redux
  • Imports useNavigation or useRoute from @react-navigation/*
  • Calls any RTK Query hook (useGet*Query, use*Mutation)
  • Has no corresponding use<Name>ViewModel.ts in the same directory
❌ screens/UserProfileScreen/
     index.tsx   ← imports useSelector, useNavigation directly

✅ screens/UserProfileScreen/
     index.tsx                         ← props only
     useUserProfileScreenViewModel.ts  ← useSelector, useNavigation, RTK Query

Import Rules

  • Keep relative imports shallow (within one directory level).
  • Use TypeScript path aliases for broader access.
  • Never import index.tsx explicitly — use folder alias exports.

Data Fetching

Use RTK Query (dada-client and cal-client are reference implementations). See rtk-query-api skill.

Design System

New UI in src/mvvm/ must use Lumen:

Testing

Every new feature under src/mvvm/ must have an integration test in __integrations__/ — create a minimal test when the folder is first added. See testing skill.

Frequently asked questions

What does the Mvvm Architecture AI skill do?

Plan, review, and develop desktop and mobile app features following our MVVM architectural pattern. Applies to all new .ts and .tsx files within /apps/ledger-live-desktop or /apps/ledger-live-mobile

Why use Mvvm Architecture on TypingMind?

Because you install it once and use it with any model. Mvvm Architecture 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 Mvvm Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/mvvm-architecture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mvvm Architecture?

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 Mvvm Architecture?

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

Is the Mvvm Architecture AI skill free?

Yes. It is published on GitHub by LedgerHQ 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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