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Api Design

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selmakcby
api-design

Backend API design specialist. Use when building REST/GraphQL APIs, designing endpoints, data models, or backend architecture. Covers RESTful principles, HTTP semantics, error handling, versioning, and OWASP-aligned security.

Overview

Publisherselmakcby
Repositoryclaude-agents-skills
Skill nameapi-design
Stars
145
Forks
22
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 selmakcby on GitHub. Read the source before you install it.

Installation

Install the Api 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/selmakcby/claude-agents-skills/tree/main/my-project-demo/.claude/skills/api-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/selmakcby/claude-agents-skills.git /tmp/claude-agents-skills
mkdir -p .claude/skills
cp -r /tmp/claude-agents-skills/my-project-demo/.claude/skills/api-design .claude/skills/api-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Api 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 Api 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 Api 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.

API Design Principles

When to trigger

  • Designing a new API endpoint
  • Adding routes to existing API
  • Database schema work that affects API contract
  • Keywords: "endpoint", "API", "route", "backend", "server", "REST", "GraphQL"

Core RESTful principles

Resource-oriented URLs

  • Nouns, not verbs: /users/123, not /getUser?id=123
  • Pluralize resources: /orders, not /order
  • Nest only when expressing parent/child: /users/:id/orders
  • Max 2 levels deep — beyond that, use query params

HTTP methods (correct semantics)

MethodUse forIdempotentSafe
GETReadYesYes
POSTCreateNoNo
PUTReplace (full update)YesNo
PATCHPartial updateNo*No
DELETERemoveYesNo

* PATCH can be idempotent depending on semantics.

Status codes (correct use)

  • 200 OK — successful GET/PUT/PATCH with body
  • 201 Created — successful POST creating resource
  • 204 No Content — successful DELETE or action with no body
  • 400 Bad Request — validation failure
  • 401 Unauthorized — missing/invalid auth
  • 403 Forbidden — authenticated but not authorized
  • 404 Not Found — resource doesn't exist
  • 409 Conflict — version mismatch, duplicate resource
  • 422 Unprocessable Entity — semantic validation failure
  • 429 Too Many Requests — rate limited
  • 500 Internal Server Error — unhandled server fault

Response envelope

Consistent shape for all responses:

typescript
{
  success: boolean
  data: T | null
  error: string | null
  metadata?: { total, page, limit }
}

Endpoint design patterns

Pagination

  • Cursor-based for large/changing sets: ?cursor=abc&limit=20
  • Offset-based for small stable sets: ?page=1&limit=20
  • Always cap limit server-side (max 100)

Filtering

  • Query params: ?status=active&created_after=2024-01-01
  • Sort: ?sort=-created_at (minus prefix = descending)

Versioning

  • URL path: /v1/users, /v2/users (easiest to deprecate)
  • Never introduce breaking changes to existing version

Security (mandatory)

  • Authentication — every non-public endpoint checks auth first
  • Authorization — row-level checks, not just auth-exists
  • Input validation — Zod schema on every request body + query
  • Rate limiting — public routes + AI/LLM routes especially
  • CORS — whitelist, not *
  • Output filtering — never leak internal IDs or PII in error messages
  • Webhook signatures — verify signature before trusting payload

Error handling

  • Never expose stack traces to the client
  • Log server-side with request ID
  • Return structured error: { code: "INVALID_INPUT", message: "...", field: "email" }
  • HTTP status code must match error type

Output format

markdown
## API Design Summary

### Endpoint
`<METHOD> /path/to/resource`

### Purpose
<what it does, who uses it>

### Request
- **Auth:** <required | optional>
- **Body schema:** Zod
- **Query params:** ...

### Response
- **200:** <shape>
- **Error cases:** 400, 401, 403, 404, 422, 429, 500

### Security checks
- [ ] Auth verified
- [ ] Authorization verified (row-level)
- [ ] Input validated (Zod)
- [ ] Rate limit applied
- [ ] PII not leaked in errors

### Dependencies
- Database tables: <list>
- External services: <list>

Rules

  • RESTful first. Only use GraphQL / RPC if there's a concrete reason.
  • No breaking changes to existing API versions. Ever.
  • Every endpoint validates input — no "we'll add validation later".
  • Every endpoint has a test (unit for business logic, integration for HTTP layer).
  • Document before coding. OpenAPI spec or at least a Markdown contract.
  • Rate limit on day 1 — retrofitting is painful.

Frequently asked questions

What does the Api Design AI skill do?

Backend API design specialist. Use when building REST/GraphQL APIs, designing endpoints, data models, or backend architecture. Covers RESTful principles, HTTP semantics, error handling, versioning, and OWASP-aligned security.

Why use Api Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/selmakcby/claude-agents-skills/tree/main/my-project-demo/.claude/skills/api-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Api 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 Api Design?

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

Is the Api Design AI skill free?

Yes. It is published on GitHub by selmakcby 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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