Browse QA Skills

Python testing with pytest fixtures, parametrize, markers, and plugins

OWASP Top 10 security testing patterns and vulnerability scanning

The complete QA skill for Claude Code — turn Claude into an expert QA engineer that picks the right test type, writes reliable Playwright, Cypress, and pytest tests, eliminates flaky tests, enforces coverage, and wires up CI. Claude Code QA testing done right.

Automatically generate comprehensive test cases from user stories and acceptance criteria using BDD patterns, equivalence partitioning, and risk-based prioritization

Diagnose flaky test failures from Playwright reports, traces, and rerun history. Classify each failure as product, test, environment, data, or unknown with cited evidence and a proposed fix. Never auto-modifies code without opt-in.

Automatically generate comprehensive API test suites from OpenAPI specifications covering CRUD operations, error handling, authentication, pagination, and edge cases

Integration testing with throwaway Docker containers for databases and external services

Test data strategies using Faker.js, factories, builders, and database seeding

Comprehensive authentication and authorization bypass testing including session hijacking, privilege escalation, JWT manipulation, and access control verification

Validate API responses against OpenAPI/Swagger specifications, JSON Schema definitions, and consumer-driven contracts to prevent breaking changes

Build reusable test data factories with builder patterns, realistic fake data generation, relationship handling, and database seeding for consistent test environments

Generate boundary value test cases for numeric ranges, string lengths, date ranges, collection sizes, and domain-specific constraints using systematic analysis techniques

Comprehensive API security testing based on OWASP API Security Top 10 including broken authentication, injection attacks, rate limiting, BOLA/BFLA vulnerabilities, and automated security scanning with ZAP and custom scripts.

Systematically generate negative test cases covering invalid inputs, unauthorized actions, missing required fields, exceeded limits, and malformed request payloads

Optimize CI/CD test pipeline execution through intelligent test splitting, parallelization, caching strategies, and selective test execution to reduce pipeline duration

Configure and generate rich Allure test reports with test categorization, historical trends, environment details, and CI/CD integration for comprehensive test visibility

Identify untested code paths, uncovered branches, and missing test scenarios using coverage analysis, risk mapping, and change-based coverage tracking

Opinionated pytest patterns for AI agents - conftest fixture scoping, parametrize, markers, pyproject config, coverage, xdist parallelism, mocking, and AAA-structured test naming.

Detect and eliminate N+1 query problems in database-backed applications through query counting, execution plan analysis, and ORM configuration auditing