> contract, k6 load testing, mocking, and OpenAPI-driven generation. Use when adding new APIs, auditing test coverage, or building regression suites.
npx skills add https://github.com/borghei/Claude-Skills --skill api-test-suite-builder
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 |
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take borghei/api-test-suite-builder from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.