“software testing”

Ability to design, implement, test, deploy, and maintain software systems that meet defined requirements.

Suede AI experimentation discipline: hypotheses, sample size and power, test duration, guardrail metrics, significance and readouts, sequential designs, and…

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.

Design and diagnose Endly integration and e2e tests with isolated fixtures, sequence-backed IDs, API and database assertions, and focused reruns.

Complete senior software engineering workflow playbook.

API reference: Swift Testing framework.

Use for flaky or nondeterministic tests, especially local-vs-CI inconsistencies.

DEPRECATED - this skill is unmaintained.

Ginkgo/Gomega testing patterns for Konflux — test cleanup (envtest), Eventually/Consistently soft assertions, and helper conventions.

Diagnose software failures through reproducible evidence, hypothesis testing, root-cause analysis, and regression verification.

Write meaningful unit tests for changed or untested behavior, including failure paths and edge cases, in the repository's existing test conventions.

Choose proportional OpenClaw tests/checks, diagnose failures, route environment-sensitive or release proof to its owner.

Offensive AI security testing and exploitation framework.

Guide for offline-first game extraction testing, writing domain tests, and validating calculations

Write the one system test that proves a Gherkin scenario from outside the module.

Use when deciding what evidence can expose a credible software fault.

Run the project-ops skill bundle end to end: health, bug, security, API contract, docs, and issue reconciliation, then plan and apply verified fixes one at a…

Comprehensive software development methodology combining Clean Architecture, Test-Driven Development (TDD), and subagent-driven execution.

Use when adding, updating, or reviewing tests in agent-eval, choosing test coverage, organizing Vitest tests, or isolating filesystem, Docker, and other…

Use Ontoly's deterministic Software Graph and MCP capabilities for architecture review, request tracing, dependency analysis, configuration lookup, and impact…

Release prep and tagging with pre-flight verification.

Expert guidance on Swift Testing for writing, reviewing, migrating, and debugging tests.

Norms for working in a software project.

Configures mewt or muton campaigns, analyzes surviving mutants, and investigates bugs exposed by testing gaps.