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Hateoas

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rrezartprebreza
hateoas

Use when adding hypermedia links to REST responses, building self-describing APIs, or implementing Spring HATEOAS. Use when you see EntityModel, CollectionModel, or RepresentationModel in the project.

Overview

Publisherrrezartprebreza
Repositoryspring-boot-skills
Skill namehateoas
Stars
322
Forks
52
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Hateoas 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/rrezartprebreza/spring-boot-skills/tree/main/skills/spring-boot-3/hateoas
  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/rrezartprebreza/spring-boot-skills.git /tmp/spring-boot-skills
mkdir -p .claude/skills
cp -r /tmp/spring-boot-skills/skills/spring-boot-3/hateoas .claude/skills/hateoas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hateoas 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 Hateoas 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 Hateoas 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.

Spring HATEOAS

Dependency

xml
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-hateoas</artifactId>
</dependency>

When to Add Links

  • self — always, on every resource response
  • collection — link back to the list endpoint
  • related resources — when a client commonly needs to navigate to them
  • actions — links to state transitions (e.g., cancel, ship) when valid for current state

Resource Model

java
@Getter // Jackson serializes through getters — without them the body is only "_links"
@AllArgsConstructor(access = AccessLevel.PRIVATE)
public class OrderModel extends RepresentationModel<OrderModel> {
    private final UUID id;
    private final String status;
    private final String customerEmail;
    private final Instant createdAt;

    // Static factory with links
    public static OrderModel from(Order order) {
        OrderModel model = new OrderModel(
            order.getId(), order.getStatus().name(),
            order.getCustomerEmail(), order.getCreatedAt()
        );

        // Self link — always
        model.add(linkTo(methodOn(OrderController.class).getById(order.getId())).withSelfRel());

        // Collection link
        model.add(linkTo(methodOn(OrderController.class).list(null)).withRel("orders"));

        // Conditional action links based on state
        if (order.getStatus() == OrderStatus.PENDING) {
            model.add(linkTo(methodOn(OrderController.class)
                .cancelOrder(order.getId())).withRel("cancel"));
        }
        if (order.getStatus() == OrderStatus.PROCESSING) {
            model.add(linkTo(methodOn(OrderController.class)
                .shipOrder(order.getId())).withRel("ship"));
        }

        return model;
    }
}

Controller

java
@RestController
@RequestMapping("/api/v1/orders")
public class OrderController {

    @GetMapping("/{id}")
    public ResponseEntity<OrderModel> getById(@PathVariable UUID id) {
        Order order = orderService.findById(id);
        return ResponseEntity.ok(OrderModel.from(order));
    }

    @GetMapping
    public ResponseEntity<CollectionModel<OrderModel>> list(Pageable pageable) {
        Page<Order> orders = orderService.findAll(pageable);

        List<OrderModel> models = orders.getContent().stream()
            .map(OrderModel::from)
            .toList();

        CollectionModel<OrderModel> collection = CollectionModel.of(models,
            linkTo(methodOn(OrderController.class).list(pageable)).withSelfRel()
        );

        // Pagination links
        if (orders.hasNext()) {
            collection.add(linkTo(methodOn(OrderController.class)
                .list(pageable.next())).withRel(IanaLinkRelations.NEXT));
        }
        if (orders.hasPrevious()) {
            collection.add(linkTo(methodOn(OrderController.class)
                .list(pageable.previousOrFirst())).withRel(IanaLinkRelations.PREV));
        }

        return ResponseEntity.ok(collection);
    }
}

Response Shape

json
{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "PENDING",
  "customerEmail": "user@example.com",
  "_links": {
    "self": { "href": "http://api.example.com/api/v1/orders/550e8400" },
    "orders": { "href": "http://api.example.com/api/v1/orders" },
    "cancel": { "href": "http://api.example.com/api/v1/orders/550e8400/cancel" }
  }
}

RepresentationModelAssembler Pattern

  • Spring's recommended way to build HATEOAS models from entities
  • Implements RepresentationModelAssembler<Entity, Model> — reusable across controllers
  • Inject the assembler into controllers instead of calling Model.from() directly
java
@Component
public class OrderModelAssembler implements RepresentationModelAssembler<Order, EntityModel<OrderResponse>> {

    @Override
    public EntityModel<OrderResponse> toModel(Order order) {
        EntityModel<OrderResponse> model = EntityModel.of(OrderResponse.from(order),
            linkTo(methodOn(OrderController.class).getById(order.getId())).withSelfRel(),
            linkTo(methodOn(OrderController.class).list(null)).withRel("orders"));

        if (order.getStatus() == OrderStatus.PENDING) {
            model.add(linkTo(methodOn(OrderController.class)
                .cancelOrder(order.getId())).withRel("cancel"));
        }
        return model;
    }
}

PagedModel for Paginated Collections

  • Use PagedResourcesAssembler for automatic pagination links (first, prev, next, last)
  • Inject PagedResourcesAssembler<Order> into controllers — Spring creates it automatically
java
@GetMapping
public ResponseEntity<PagedModel<EntityModel<OrderResponse>>> list(
        Pageable pageable, PagedResourcesAssembler<Order> pagedAssembler) {
    Page<Order> orders = orderService.findAll(pageable);
    PagedModel<EntityModel<OrderResponse>> pagedModel =
        pagedAssembler.toModel(orders, orderModelAssembler);
    return ResponseEntity.ok(pagedModel);
}

Gotchas

  • Agent adds all links regardless of state — only add action links when the action is valid
  • Agent hardcodes URLs in links — always use linkTo(methodOn(...)) for type-safe links
  • Agent returns plain DTO — wrap in EntityModel.of(dto, links...) or extend RepresentationModel
  • Agent puts link logic in controller — extract to RepresentationModelAssembler
  • Agent manually builds pagination links — use PagedResourcesAssembler instead
  • Agent forgets self link — every resource must have a self link

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 Hateoas AI skill do?

Use when adding hypermedia links to REST responses, building self-describing APIs, or implementing Spring HATEOAS. Use when you see EntityModel, CollectionModel, or RepresentationModel in the project.

Why use Hateoas on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rrezartprebreza/spring-boot-skills/tree/main/skills/spring-boot-3/hateoas. 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 Hateoas?

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 Hateoas?

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

Is the Hateoas AI skill free?

Yes. It is published on GitHub by rrezartprebreza 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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