Browse QA Skills

Testing image processing pipelines including format conversion, resize quality, metadata handling, watermark verification, and thumbnail generation.

Writing custom static analysis rules for ESLint, Semgrep, and SonarQube to enforce project-specific code quality and security standards.

Streaming API testing skill covering Server-Sent Events testing, chunked transfer encoding, gRPC streaming, real-time data validation, backpressure testing, connection resilience, and AI/LLM streaming response testing.

Comprehensive JWT token security testing including signature verification, expiration checks, algorithm confusion attacks, and claim validation.

MongoDB testing with in-memory MongoDB, aggregation pipeline testing, schema validation, indexing verification, and replica set testing.

Building effective smoke test suites for deployment verification including critical path coverage, health endpoints, and rapid feedback testing.

Comprehensive SQL injection testing patterns including blind SQLi, time-based, union-based, and parameterized query validation techniques.

Synthetic monitoring test creation for uptime checking, user journey simulation, API health verification, and multi-region availability testing.

Automated compliance testing using Open Policy Agent, Chef InSpec, and custom policy engines for security baseline validation.

Testing retry mechanisms, circuit breakers, bulkheads, and timeout patterns for building resilient distributed systems.

Debug and fix failing GitHub PR checks by inspecting GitHub Actions logs, summarizing failure context, drafting fix plans, and implementing fixes after approval.

Elasticsearch testing including index management, query validation, mapping verification, bulk operation testing, and search relevance scoring.

Risk-based testing approach for prioritizing test efforts based on business impact, change frequency, complexity, and historical defect patterns.

Testing machine learning models including accuracy validation, bias detection, drift monitoring, A/B testing, and model regression testing.

Processing and analyzing Static Analysis Results Interchange Format (SARIF) files for aggregating security findings across multiple scanning tools.

Python BDD testing with Behave framework using Gherkin feature files, step definitions, environment hooks, and Selenium integration for behavior-driven acceptance testing.

Integration testing strategies including database integration, external service integration, message queue testing, and test container patterns.

Kubernetes deployment testing including manifest validation, Helm chart testing, pod health checks, network policy testing, and rollback verification.

Quantify and track test technical debt including missing tests, outdated assertions, disabled tests, inadequate coverage, and maintenance burden across the test suite