This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate API test suites from route definitions across frameworks: auth, input validation, contract, k6 load testing, mocking, and OpenAPI-driven generation. Use when adding new APIs, auditing test coverage, or building regression suites.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Scan API route definitions across frameworks (Next.js App Router, Express, FastAPI, Django REST, Go net/http), analyze request/response schemas, and generate comprehensive test suites covering authentication, authorization, input validation, error handling, pagination, file uploads, rate limiting, contract testing, and load testing. Outputs ready-to-run test files for Vitest+Supertest (Node), Pytest+httpx (Python), or k6 (load testing).
Before generating the suite, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--framework)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
test_generator.py | Generate API test skeletons from an OpenAPI/Swagger spec | python scripts/test_generator.py spec.json --framework vitest --output tests/ |
coverage_analyzer.py | Compare spec endpoints vs existing test files to find gaps | python scripts/coverage_analyzer.py spec.json tests/ --threshold 95 |
contract_validator.py | Validate response samples against OpenAPI schema contracts | python scripts/contract_validator.py spec.json samples/ --strict |
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers:
This skill does NOT cover:
engineering/api-design-reviewer for schema review patterns)engineering/playwright-pro)engineering/database-schema-designer)engineering/skill-security-auditor)| Skill | Integration | Data Flow |
|---|---|---|
engineering/api-design-reviewer | Validate API design before generating tests | Design review output defines the endpoint contracts that this skill generates tests for |
engineering/ci-cd-pipeline-builder | Embed generated tests into CI/CD pipelines | Generated test files and k6 scripts are added as pipeline stages with pass/fail gates |
engineering/playwright-pro | Complement API tests with E2E browser tests | API test suite validates backend behavior; Playwright tests validate the frontend consuming those APIs |
engineering/database-schema-designer | Align test fixtures with database schema | Schema definitions inform factory functions and seed data used in generated test helpers |
engineering/observability-designer | Monitor test-covered endpoints in production | Load test thresholds (P95, P99) feed into alerting rules for the same endpoints in production dashboards |
engineering/performance-profiler | Investigate endpoints that fail load test thresholds | k6 results identify slow endpoints; the profiler skill traces root causes at the code level |
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.