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Jsonapi

OrganizationPopular
prowler-cloud
jsonapi

Strict JSON:API v1.1 specification compliance. Trigger: When creating or modifying API endpoints, reviewing API responses, or validating JSON:API compliance.

Overview

Publisherprowler-cloud
Repositoryprowler
Skill namejsonapi
Stars
14.8K
Forks
2.4K
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 prowler-cloud on GitHub. Read the source before you install it.

Installation

Install the Jsonapi 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.
  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/prowler-cloud/prowler.git /tmp/prowler
mkdir -p .claude/skills
cp -r /tmp/prowler/skills/jsonapi .claude/skills/jsonapi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jsonapi 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 Jsonapi 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 Jsonapi 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.

Use With django-drf

This skill focuses on spec compliance. For implementation patterns (ViewSets, Serializers, Filters), use django-drf skill together with this one.

SkillFocus
jsonapiWhat the spec requires (MUST/MUST NOT rules)
django-drfHow to implement it in DRF (code patterns)

When creating/modifying endpoints, invoke BOTH skills.


Before Implementing/Reviewing

ALWAYS validate against the latest spec before creating or modifying endpoints:

Option 1: Context7 MCP (Preferred)

If Context7 MCP is available, query the JSON:API spec directly:

text
mcp_context7_resolve-library-id(query="jsonapi specification")
mcp_context7_query-docs(libraryId="<resolved-id>", query="[specific topic: relationships, errors, etc.]")

Option 2: WebFetch (Fallback)

If Context7 is not available, fetch from the official spec:

text
WebFetch(url="https://jsonapi.org/format/", prompt="Extract rules for [specific topic]")

This ensures compliance with the latest JSON:API version, even after spec updates.


Critical Rules (NEVER Break)

Document Structure

  • NEVER include both data and errors in the same response
  • ALWAYS include at least one of: data, errors, meta
  • ALWAYS use type and id (string) in resource objects
  • NEVER include id when creating resources (server generates it)

Content-Type

  • ALWAYS use Content-Type: application/vnd.api+json
  • ALWAYS use Accept: application/vnd.api+json
  • NEVER add parameters to media type without ext/profile

Resource Objects

  • ALWAYS use string for id (even if UUID)
  • ALWAYS use lowercase kebab-case for type
  • NEVER put id or type inside attributes
  • NEVER include foreign keys in attributes - use relationships

Relationships

  • ALWAYS include at least one of: links, data, or meta
  • ALWAYS use resource linkage format: {"type": "...", "id": "..."}
  • NEVER use raw IDs in relationships - always use linkage objects

Error Objects

  • ALWAYS return errors as array: {"errors": [...]}
  • ALWAYS include status as string (e.g., "400", not 400)
  • ALWAYS include source.pointer for field-specific errors

HTTP Status Codes (Mandatory)

OperationSuccessAsyncConflictNot FoundForbiddenBad Request
GET200--404403400
POST201202409404403400
PATCH200202409404403400
DELETE200/204202-404403-

When to Use Each

CodeUse When
200 OKSuccessful GET, PATCH with response body, DELETE with response
201 CreatedPOST created resource (MUST include Location header)
202 AcceptedAsync operation started (return task reference)
204 No ContentSuccessful DELETE, PATCH with no response body
400 Bad RequestInvalid query params, malformed request, unknown fields
403 ForbiddenAuthentication ok but no permission, client-generated ID rejected
404 Not FoundResource doesn't exist OR RLS hides it (never reveal which)
409 ConflictDuplicate ID, type mismatch, relationship conflict
415 UnsupportedWrong Content-Type header

Document Structure

Success Response (Single)

json
{
  "data": {
    "type": "providers",
    "id": "550e8400-e29b-41d4-a716-446655440000",
    "attributes": {
      "alias": "Production",
      "connected": true
    },
    "relationships": {
      "tenant": {
        "data": {"type": "tenants", "id": "..."}
      }
    },
    "links": {
      "self": "/api/v1/providers/550e8400-..."
    }
  },
  "links": {
    "self": "/api/v1/providers/550e8400-..."
  }
}

Success Response (List)

json
{
  "data": [
    {"type": "providers", "id": "...", "attributes": {...}},
    {"type": "providers", "id": "...", "attributes": {...}}
  ],
  "links": {
    "self": "/api/v1/providers?page[number]=1",
    "first": "/api/v1/providers?page[number]=1",
    "last": "/api/v1/providers?page[number]=5",
    "prev": null,
    "next": "/api/v1/providers?page[number]=2"
  },
  "meta": {
    "pagination": {"count": 100, "pages": 5}
  }
}

Error Response

json
{
  "errors": [
    {
      "status": "400",
      "code": "invalid",
      "title": "Invalid attribute",
      "detail": "UID must be 12 digits for AWS accounts",
      "source": {"pointer": "/data/attributes/uid"}
    }
  ]
}

Query Parameters

FamilyFormatExample
pagepage[number], page[size]?page[number]=2&page[size]=25
filterfilter[field], filter[field__op]?filter[status]=FAIL
sortComma-separated, - for desc?sort=-inserted_at,name
fieldsfields[type]?fields[providers]=id,alias
includeComma-separated paths?include=provider,scan.task

Rules

  • MUST return 400 for unsupported query parameters
  • MUST return 400 for unsupported include paths
  • MUST return 400 for unsupported sort fields
  • MUST NOT include extra fields when fields[type] is specified

Common Violations (AVOID)

ViolationWrongCorrect
ID as integer"id": 123"id": "123"
Type as camelCase"type": "providerGroup""type": "provider-groups"
FK in attributes"tenant_id": "...""relationships": {"tenant": {...}}
Errors not array{"error": "..."}{"errors": [{"detail": "..."}]}
Status as number"status": 400"status": "400"
Data + errors{"data": ..., "errors": ...}Only one or the other
Missing pointer{"detail": "Invalid"}{"detail": "...", "source": {"pointer": "..."}}

Relationship Updates

To-One Relationship

http
PATCH /api/v1/providers/123/relationships/tenant
Content-Type: application/vnd.api+json

{"data": {"type": "tenants", "id": "456"}}

To clear: {"data": null}

To-Many Relationship

OperationMethodBody
Replace allPATCH{"data": [{...}, {...}]}
Add membersPOST{"data": [{...}]}
Remove membersDELETE{"data": [{...}]}

Compound Documents (include)

When using ?include=provider:

json
{
  "data": {
    "type": "scans",
    "id": "...",
    "relationships": {
      "provider": {
        "data": {"type": "providers", "id": "prov-123"}
      }
    }
  },
  "included": [
    {
      "type": "providers",
      "id": "prov-123",
      "attributes": {"alias": "Production"}
    }
  ]
}

Rules

  • Every included resource MUST be reachable via relationship chain from primary data
  • MUST NOT include orphan resources
  • MUST NOT duplicate resources (same type+id)

Spec Reference

  • Full Specification: https://jsonapi.org/format/
  • Implementation: Use django-drf skill for DRF-specific patterns
  • Testing: Use prowler-test-api skill for test patterns

Frequently asked questions

What does the Jsonapi AI skill do?

Strict JSON:API v1.1 specification compliance. Trigger: When creating or modifying API endpoints, reviewing API responses, or validating JSON:API compliance.

Why use Jsonapi on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prowler-cloud/prowler/tree/master/skills/jsonapi. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Jsonapi?

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 Jsonapi?

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

Is the Jsonapi AI skill free?

Yes. It is published on GitHub by prowler-cloud 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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