Interface Design logo

Interface Design

OrganizationPopular
reactive
interface-design

Interface design principles for package APIs — where configuration, behavior, and state belong across schema, endpoint, and hook layers. Use when adding or changing options, behavior, or state in packages/*.

Overview

Publisherreactive
Repositorydata-client
Skill nameinterface-design
Stars
2K
Forks
98
Bundled files
Instructions only
LicenseApache-2.0
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 reactive on GitHub. Read the source before you install it.

Installation

Install the Interface Design 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/reactive/data-client/tree/master/.agents/skills/interface-design
  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/reactive/data-client.git /tmp/data-client
mkdir -p .claude/skills
cp -r /tmp/data-client/.agents/skills/interface-design .claude/skills/interface-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interface Design 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 Interface Design 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 Interface Design 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.

Interface Design

Resources are a collection of methods for a given data model. Entities and Schemas declaratively define the data model. Endpoints are the methods on that data. Both should be as declarative as possible — describing what, not how.

These concerns separate into three layers. Each changes for different reasons, is used in different contexts, and composes independently. Place new configuration or behavior in the layer whose reason to change matches.

The Three Layers

LayerDeclares…Changes when…Examples
Schema (Entity, Collection, Query)Data model and relationshipsData shape or identity changespk(), schema, merge(), process(), indexes
Endpoint (Endpoint, RestEndpoint, resource)Methods on that dataAPI contract or cache policy changespath, method, schema, pollFrequency, getOptimisticResponse()
Hook / Composable (useSuspense, useDLE, useQuery)Data dependencies at point of useUI interaction pattern changesSuspense, { data, loading, error }, subscription lifecycle

Placement Principles

If it describes data identity or relationships → Schema. Schemas are protocol-agnostic and UI-agnostic. An Entity's pk(), merge(), and nested schema work identically whether data arrives via REST, WebSocket, or controller.set().

If it describes how to obtain or mutate data → Endpoint. Declare path, method, schema, and policy — not imperative fetch logic. Endpoints are UI-agnostic: the same endpoint powers React, Vue, SSR, or imperative controller.fetch().

If it describes how the user experiences data → Hook. Loading states, error delivery, suspense, subscriptions, and reactivity adapters are UI concerns. Hooks co-locate data dependencies where data is rendered — not at the top of a tree. They are thin adapters over Controller, not duplicate cache logic.

If it's shared policy (expiry, staleness, optimistic updates) → EndpointExtraOptions. These live on endpoints as per-request policy, but are implemented by Controller/managers, not hooks.

Declarative Over Imperative

Favor declarative configuration that the framework interprets over imperative code users must write:

  • Schemas: Declare pk(), schema relationships, merge() policy — the store handles normalization.
  • Endpoints: Declare path, method, schema, optimistic — the framework handles fetching, caching, and updates.
  • Mutations: ctrl.fetch(TodoResource.partialUpdate, { id }, { completed }) — a single typed statement describing the action, not manual cache updates or invalidation cascades.

What Stays the Same vs. What Varies

The endpoint + args input pattern is the stable interface shared by all hooks and controller.fetch. This enables one endpoint definition to power useSuspense, useDLE, useCache, useSubscription, or imperative controller.fetch — without the endpoint knowing which UI pattern consumes it.

When adding a new capability, ask:

  • Does every consumer need this? → Endpoint or schema.
  • Do only some UI patterns need this? → Hook or hook option.
  • Does it vary per call site? → An argument, not a property.
  • Does it vary per endpoint definition? → A property or extend() override.

Anti-patterns

  • Imperative update/invalidation logic where a declarative schema or optimistic flag suffices
  • Encoding UI concerns (loading, error display) into endpoint or schema definitions
  • Encoding transport details (URL construction, headers) into hooks or components
  • Duplicating store/cache logic in hooks instead of going through Controller
  • Adding hook-specific state to Controller — it serves all consumers (React, Vue, imperative)
  • Prop-drilling fetched data instead of co-locating useSuspense where data is rendered

Frequently asked questions

What does the Interface Design AI skill do?

Interface design principles for package APIs — where configuration, behavior, and state belong across schema, endpoint, and hook layers. Use when adding or changing options, behavior, or state in packages/*.

Why use Interface Design on TypingMind?

Because you install it once and use it with any model. Interface Design 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 Interface Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/reactive/data-client/tree/master/.agents/skills/interface-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interface Design?

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 Interface Design?

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

Is the Interface Design AI skill free?

Yes. It is published on GitHub by reactive under the Apache-2.0 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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