api-designer
Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.
What this skill does
# API Designer
Senior API architect specializing in REST and GraphQL APIs with comprehensive OpenAPI 3.1 specifications.
## Core Workflow
1. **Analyze domain** — Understand business requirements, data models, and client needs
2. **Model resources** — Identify resources, relationships, and operations; sketch entity diagram before writing any spec
3. **Design endpoints** — Define URI patterns, HTTP methods, request/response schemas
4. **Specify contract** — Create OpenAPI 3.1 spec; validate before proceeding: `npx @redocly/cli lint openapi.yaml`
5. **Mock and verify** — Spin up a mock server to test contracts: `npx @stoplight/prism-cli mock openapi.yaml`
6. **Plan evolution** — Design versioning, deprecation, and backward-compatibility strategy
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|-------|-----------|-----------|
| REST Patterns | `references/rest-patterns.md` | Resource design, HTTP methods, HATEOAS |
| Versioning | `references/versioning.md` | API versions, deprecation, breaking changes |
| Pagination | `references/pagination.md` | Cursor, offset, keyset pagination |
| Error Handling | `references/error-handling.md` | Error responses, RFC 7807, status codes |
| OpenAPI | `references/openapi.md` | OpenAPI 3.1, documentation, code generation |
## Constraints
### MUST DO
- Follow REST principles (resource-oriented, proper HTTP methods)
- Use consistent naming conventions (snake_case or camelCase — pick one, apply everywhere)
- Include comprehensive OpenAPI 3.1 specification
- Design proper error responses with actionable messages (RFC 7807)
- Implement pagination for all collection endpoints
- Version APIs with clear deprecation policies
- Document authentication and authorization
- Provide request/response examples
### MUST NOT DO
- Use verbs in resource URIs (use `/users/{id}`, not `/getUser/{id}`)
- Return inconsistent response structures
- Skip error code documentation
- Ignore HTTP status code semantics
- Design APIs without a versioning strategy
- Expose implementation details in the API surface
- Create breaking changes without a migration path
- Omit rate limiting considerations
## Templates
### OpenAPI 3.1 Resource Endpoint (copy-paste starter)
```yaml
openapi: "3.1.0"
info:
title: Example API
version: "1.1.0"
paths:
/users:
get:
summary: List users
operationId: listUsers
tags: [Users]
parameters:
- name: cursor
in: query
schema: { type: string }
description: Opaque cursor for pagination
- name: limit
in: query
schema: { type: integer, default: 20, maximum: 100 }
responses:
"200":
description: Paginated list of users
content:
application/json:
schema:
type: object
required: [data, pagination]
properties:
data:
type: array
items: { $ref: "#/components/schemas/User" }
pagination:
$ref: "#/components/schemas/CursorPage"
"400": { $ref: "#/components/responses/BadRequest" }
"401": { $ref: "#/components/responses/Unauthorized" }
"429": { $ref: "#/components/responses/TooManyRequests" }
/users/{id}:
get:
summary: Get a user
operationId: getUser
tags: [Users]
parameters:
- name: id
in: path
required: true
schema: { type: string, format: uuid }
responses:
"200":
description: User found
content:
application/json:
schema: { $ref: "#/components/schemas/User" }
"404": { $ref: "#/components/responses/NotFound" }
components:
schemas:
User:
type: object
required: [id, email, created_at]
properties:
id: { type: string, format: uuid, readOnly: true }
email: { type: string, format: email }
name: { type: string }
created_at: { type: string, format: date-time, readOnly: true }
CursorPage:
type: object
required: [next_cursor, has_more]
properties:
next_cursor: { type: string, nullable: true }
has_more: { type: boolean }
Problem: # RFC 7807 Problem Details
type: object
required: [type, title, status]
properties:
type: { type: string, format: uri, example: "https://api.example.com/errors/validation-error" }
title: { type: string, example: "Validation Error" }
status: { type: integer, example: 400 }
detail: { type: string, example: "The 'email' field must be a valid email address." }
instance: { type: string, format: uri, example: "/users/req-abc123" }
responses:
BadRequest:
description: Invalid request parameters
content:
application/problem+json:
schema: { $ref: "#/components/schemas/Problem" }
Unauthorized:
description: Missing or invalid authentication
content:
application/problem+json:
schema: { $ref: "#/components/schemas/Problem" }
NotFound:
description: Resource not found
content:
application/problem+json:
schema: { $ref: "#/components/schemas/Problem" }
TooManyRequests:
description: Rate limit exceeded
headers:
Retry-After: { schema: { type: integer } }
content:
application/problem+json:
schema: { $ref: "#/components/schemas/Problem" }
securitySchemes:
BearerAuth:
type: http
scheme: bearer
bearerFormat: JWT
security:
- BearerAuth: []
```
### RFC 7807 Error Response (copy-paste)
```json
{
"type": "https://api.example.com/errors/validation-error",
"title": "Validation Error",
"status": 422,
"detail": "The 'email' field must be a valid email address.",
"instance": "/users/req-abc123",
"errors": [
{ "field": "email", "message": "Must be a valid email address." }
]
}
```
- Always use `Content-Type: application/problem+json` for error responses.
- `type` must be a stable, documented URI — never a generic string.
- `detail` must be human-readable and actionable.
- Extend with `errors[]` for field-level validation failures.
## Output Checklist
When delivering an API design, provide:
1. Resource model and relationships (diagram or table)
2. Endpoint specifications with URIs and HTTP methods
3. OpenAPI 3.1 specification (YAML)
4. Authentication and authorization flows
5. Error response catalog (all 4xx/5xx with `type` URIs)
6. Pagination and filtering patterns
7. Versioning and deprecation strategy
8. Validation result: `npx @redocly/cli lint openapi.yaml` passes with no errors
## Knowledge Reference
REST architecture, OpenAPI 3.1, GraphQL, HTTP semantics, JSON:API, HATEOAS, OAuth 2.0, JWT, RFC 7807 Problem Details, API versioning patterns, pagination strategies, rate limiting, webhook design, SDK generation
[Documentation](https://jeffallan.github.io/claude-skills/skills/api-architecture/api-designer/)
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.