api-testing
Comprehensive API testing for REST and GraphQL endpoints. Use when asked to create, run, or debug API tests, validate schemas, test authentication, verify contracts, or check error handling. Covers Playwright request fixture (TypeScript) and REST Assured (Java 21+).
What this skill does
# API Testing (Playwright + REST Assured)
Comprehensive API testing skill covering both Playwright TypeScript (request fixture, Supertest, Zod) and Java (REST Assured, AssertJ, JSON Schema Validator). Provides deep domain expertise for the `api-tester-specialist` agent.
## When to Use This Skill
- Create API tests for REST or GraphQL endpoints
- Validate request/response schemas (Zod, JSON Schema)
- Test authentication flows (OAuth2, JWT, API keys, Bearer tokens)
- Verify error handling (400, 401, 403, 404, 409, 422, 500)
- Test pagination, filtering, sorting edge cases
- Validate idempotency for PUT/DELETE operations
- Contract testing between services
- Rate limiting validation
## Prerequisites
| Stack | Requirements |
| ---------- | --------------------------------------------------------------------- |
| TypeScript | Node.js 18+, `@playwright/test` or `supertest`, `zod` |
| Java | Java 21+, REST Assured 5.x, AssertJ, Jackson, `json-schema-validator` |
## Core Principles
1. **Schema validation on every response** — never trust an unvalidated response
2. **Test all HTTP status codes** — happy path AND error states
3. **Auth testing is mandatory** — verify 401/403 for protected endpoints
4. **Data-driven** — test with valid, invalid, boundary, and empty values
5. **Stateless where possible** — each test cleans up or uses unique data
## Quick Reference — Playwright
```typescript
import { test, expect } from "@playwright/test";
test("GET /api/users returns 200 with valid schema", async ({ request }) => {
const response = await request.get("/api/users");
expect(response.ok()).toBeTruthy();
const body = await response.json();
expect(body).toMatchObject({ data: expect.any(Array) });
});
```
## Quick Reference — REST Assured
```java
import static io.restassured.RestAssured.*;
import static org.hamcrest.Matchers.*;
import java.util.List;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
@Test
@DisplayName("GET /api/users returns 200 with valid schema")
void getUsers() {
String token = "test-token";
given()
.header("Authorization", "Bearer " + token)
.when()
.get("/api/users")
.then()
.statusCode(200)
.body("data", is(instanceOf(List.class)))
.body("data.size()", greaterThan(0));
}
```
## Common Rationalizations
> Common shortcuts and "good enough" excuses that erode test quality — and the reality behind each.
| Rationalization | Reality |
| ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| "Schema validation is overkill" | Without schema validation, a silent field rename becomes a production incident. Validate every response. |
| "Happy path testing is enough" | Error states (400, 401, 403, 404, 409, 500) are where real failures happen. Test all status codes. |
| "Auth tests can wait" | Unauthenticated access to protected endpoints is a security vulnerability, not a backlog item. |
| "This endpoint won't change" | APIs evolve. Contract tests catch breaking changes before they reach production. |
| "Manual API testing with Postman is sufficient" | Manual testing isn't repeatable, can't run in CI, and doesn't scale. Automate API tests. |
| "Idempotency doesn't matter" | Duplicate requests happen in production. Without idempotency testing, you get duplicate records and charges. |
---
## References
| Document | Content |
| ---------------------------------------------------------------- | --------------------------------------------------- |
| [REST API Patterns](./references/rest-api-patterns.md) | CRUD, pagination, filtering, error patterns |
| [Playwright API Testing](./references/playwright-api-testing.md) | Request fixture, Supertest, TypeScript patterns |
| [REST Assured Testing](./references/rest-assured-testing.md) | REST Assured, AssertJ, Java patterns |
| [Schema Validation](./references/schema-validation.md) | Zod (TS), JSON Schema (Java), strict vs loose |
| [Contract Testing](./references/contract-testing.md) | Request/response contracts, idempotency, versioning |
## Templates
- [Playwright API Spec](./templates/playwright-api-spec.ts) — starter test file for API testing
- [REST Assured Test](./templates/rest-assured-test.java) — starter Java test class
## Scripts
- [API Health Check](./scripts/api-health-check.sh) — validate API endpoints respond correctly
## Troubleshooting
| Issue | Solution |
| ------------------------------ | ------------------------------------------------------------------------------ |
| 401 on authenticated endpoints | Verify token is fresh; check expiry; re-authenticate |
| Flaky API tests | Add retry logic; check for rate limiting; use unique test data |
| Schema validation too strict | Use `.passthrough()` (Zod) or `additionalProperties: true` for flexible fields |
| Timeout on slow endpoints | Increase `timeout` in request options; check for server load |
---
## Verification
After completing this skill's workflow, confirm:
- [ ] **All CRUD operations tested** — POST, GET, PUT, PATCH, DELETE covered for the resource
- [ ] **Status codes verified** — Success (2xx) AND error codes (4xx, 5xx) tested
- [ ] **Schema validation in place** — Every response validated against a schema (Zod or JSON Schema)
- [ ] **Authentication tested** — 401 returned for protected endpoints without valid credentials
- [ ] **Idempotency verified** — PUT/DELETE produce same result when called multiple times
- [ ] **Edge cases covered** — Empty payloads, invalid types, boundary values, SQL injection attempts
- [ ] **All tests pass** — Playwright API tests or REST Assured tests exit successfully
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.