Data Client Rest logo

Data Client Rest

OrganizationPopular
reactive
data-client-rest

Define REST APIs with @data-client/rest - resource(), RestEndpoint, CRUD (GET/POST/PUT/PATCH/DELETE), HTTP fetch, normalize, cache, urlPrefix, path-to-regexp parameters, searchParams, pagination, extend(), auth/headers, optimistic updates, polling, file download, blob, parseResponse. Use when defining or modifying network endpoints, REST resources, or the HTTP layer.

Overview

Publisherreactive
Repositorydata-client
Skill namedata-client-rest
Stars
2K
Forks
98
Bundled files
48
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.

  • 48 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by reactive on GitHub. Read the source before you install it.

Installation

Install the Data Client Rest 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/data-client-rest
  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/data-client-rest .claude/skills/data-client-rest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Data Client Rest 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 Data Client Rest 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 Data Client Rest 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.

Guide: Using @data-client/rest for Resource Modeling

This project uses @data-client/rest to define, fetch, normalize, and update RESTful resources and entities in React/TypeScript apps with type safety and automatic cache management.
Always follow these patterns when generating code that interacts with remote APIs.


1. Defining Schemas

This project uses schemas to define and normalize data models with type safety and automatic cache management. Apply the skill "data-client-schema" for schema patterns. Always follow these patterns (apply the skill "data-client-schema") when generating mutable data definitions.

2. Resources (resource())

  • resource() creates a collection of RestEndpoints for CRUD operations on a common object
  • Required fields:
    • path: path‑to‑regexp template (typed!)
    • schema: Declarative data shape for a single item (typically Entity or Union)
  • Optional:
    • urlPrefix: Host root, if not /
    • searchParams: Type for query parameters (TS generic) in MyResource.getList
    • paginationField: Add MyResource.getList.getPage for pagination
    • optimistic: Boolean, when true all mutations will update optimistically, improving performance
    • body: Type for body parameter to MyResource.getList.push, MyResource.getList.unshift, MyResource.update, MyResource.partialUpdate
ts
import { Entity, resource } from '@data-client/rest';
import { User } from './User';

export class Todo extends Entity {
  id = 0;
  user = User.fromJS();
  title = '';
  completed = false;
  createdAt = new Date();

  static key = 'Todo';
  static schema = {
    user: User,
    createdAt: (iso: string) => new Date(iso),
  }
}

export const TodoResource = resource({
  urlPrefix: 'https://jsonplaceholder.typicode.com',
  path: '/todos/:id',
  schema: Todo,
  searchParams: {} as { userId?: string | number } | undefined,
  paginationField: 'page',
  nonFilterArgumentKeys: ['orderBy'],
  optimistic: true,
});

Usage

Rendering
ts
// GET https://jsonplaceholder.typicode.com/todos/5
const todo = useSuspense(TodoResource.get, { id: 5 });
// GET https://jsonplaceholder.typicode.com/todos
const todoList = useSuspense(TodoResource.getList);
// GET https://jsonplaceholder.typicode.com/todos?userId=1
const todoListByUser = useSuspense(TodoResource.getList, { userId: 1 });
Mutations
ts
const ctrl = useController();
// PUT https://jsonplaceholder.typicode.com/todos/5
const updateTodo = todo => ctrl.fetch(TodoResource.update, { id }, todo);
// PATCH https://jsonplaceholder.typicode.com/todos/5
const partialUpdateTodo = todo =>
  ctrl.fetch(TodoResource.partialUpdate, { id }, todo);
// POST https://jsonplaceholder.typicode.com/todos
const addTodoToStart = todo =>
  ctrl.fetch(TodoResource.getList.unshift, todo);
// POST https://jsonplaceholder.typicode.com/todos?userId=1
const addTodoToEnd = todo => ctrl.fetch(TodoResource.getList.push, { userId: 1 }, todo);
// PATCH https://jsonplaceholder.typicode.com/todos/5
const toggleStatus = (completed: boolean) => ctrl.fetch(TodoResource.getList.move, { id }, { completed });
// DELETE https://jsonplaceholder.typicode.com/todos/5
const deleteTodo = id => ctrl.fetch(TodoResource.delete, { id });
// GET https://jsonplaceholder.typicode.com/todos?userId=1&page=2
const getNextPage = (page) => ctrl.fetch(TodoResource.getList.getPage, { userId: 1, page })

For more detailed usage, apply the skill "data-client-react" or "data-client-vue".


3. Custom RestEndpoint patterns

ts
/** Stand‑alone endpoint with custom typing */
export const getTicker = new RestEndpoint({
  urlPrefix: 'https://api.exchange.coinbase.com',
  path: '/products/:product_id/ticker',
  schema: Ticker,
  pollFrequency: 2000,
});

Typing tips

  • path path‑to‑regexp template for 1st arg
  • method ≠ GET ⇒ 2nd arg = body (unless body: undefined)
  • Provide searchParams / body values purely for type inference
  • Use RestGenerics when inheriting from RestEndpoint

getOptimisticResponse()

ts
getOptimisticResponse(snap, { id }) {
  const article = snap.get(Article, { id });
  if (!article) throw snap.abort;
  return {
    id,
    votes: article.votes + 1,
  };
}

RestEndpoint lifecycle methods

  • Perform Fetch: fetchResponse() → parseResponse() → process()
    • url(urlParams): urlPrefix + path + (searchParams → searchToString())
    • getRequestInit(body): getHeaders() + method + signal

4. Extending Resources

Use .extend() to add or override endpoints.

typescript
export const IssueResource = resource({
  // ...base config...
}).extend((Base) => ({
  search: Base.getList.extend({
    path: '/search/issues',
    // ...custom schema or params...
  }),
}));

5. Best Practices & Notes

  • When asked to browse or navigate to a web address, actual visit the address
  • Always set up schema on every resource/entity/collection for normalization
  • Prefer RestEndpoint over resource() for defining single endpoints or when mutation endpoints don't exist
  • For blob/file downloads and other non-JSON responses, see network-transform: file download.

6. Common Mistakes to Avoid

  • Don't use resource() when mutation endpoints are not used or needed

References

Vue projects: read <name>.vue.md instead of <name>.md when it exists.

For detailed API documentation, see the references directory:

Guides (refer when user asks about these topics):

Concepts (refer when user asks about these topics):

  • expiry-policy - Cache invalidation, stale data, dataExpiryLength, errorExpiryLength
  • error-policy - Error handling, retry behavior, soft vs hard errors

ALWAYS follow these patterns and refer to the official docs for edge cases. Prioritize code generation that is idiomatic, type-safe, and leverages automatic normalization/caching via schema definitions.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Data Client Rest AI skill do?

Define REST APIs with @data-client/rest - resource(), RestEndpoint, CRUD (GET/POST/PUT/PATCH/DELETE), HTTP fetch, normalize, cache, urlPrefix, path-to-regexp parameters, searchParams, pagination, extend(), auth/headers, optimistic updates, polling, file download, blob, parseResponse. Use when defining or modifying network endpoints, REST resources, or the HTTP layer.

Why use Data Client Rest on TypingMind?

Because you install it once and use it with any model. Data Client Rest 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 Data Client Rest in TypingMind?

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

Which AI models can use Data Client Rest?

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 Data Client Rest?

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

Is the Data Client Rest 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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