Testing Claude Skills
3 546 testing skills from 425 authors. They run test suites, check accessibility and catch what broke. Half of them fit into 1 796 tokens or less — that is what one costs your context window when the agent loads it. 405 ship runnable scripts rather than instructions alone. 2 of them cannot work without an MCP server, most often rube. We also found 403 copies of these same skills sitting in other people's repositories — counted once here, not 403 times.
3 546 unique 425 authors 2 161 updated this month 331 from vendors
测试工程师 Agent — 动手执行测试全流程：编写并运行自动化测试脚本、执行接口/性能/安全测试、搭建CI流水线、分析缺陷、生成测试报告。覆盖主流测试工具链（pytest/Selenium/Playwright/JMeter/k6/Postman等）。
Coordinates album release including QA, distribution prep, and platform uploads. Use when mastering and album art are complete and the user is ready to release.
Analyze what changed and generate a structured test plan at .turbo/test-plans/<slug>.md covering four escalating levels: basic functionality, complex operations, adversarial testing, and cross-cutting scenarios. Use when the user asks to \"create a test plan\", \"plan tests\", \"what should I test\", \"generate test scenarios\", \"test plan for this PR\", or \"what are the test cases\".
Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens reported separately from defects. Deeper than /smoke-test. Use when the user asks to \"exploratory test\", \"test thoroughly\", \"test all scenarios\", \"deep test\", \"test edge cases\", \"test everything\", \"break it\", \"find bugs by testing\", \"test usability\", or \"check the UX while testing\".
Run the post-implementation quality assurance workflow including tests, code polishing, review, and commit. Use when the user asks to \"finalize implementation\", \"finalize changes\", \"wrap up implementation\", \"finish up\", \"ready to commit\", or \"run QA workflow\".
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to \"investigate this bug\", \"debug this\", \"figure out why this fails\", \"find the root cause\", \"why is this broken\", \"troubleshoot this\", \"diagnose the issue\", \"what's causing this error\", \"look into this failure\", \"why is this test failing\", or \"track down this bug\".
Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA. Use for ad-hoc changes when no plan file or improvements backlog governs the work, and when the user asks to \"just implement\", \"implement directly\", \"implement without a plan\", or \"apply the change\".
Launch the app and hands-on verify that it works by interacting with it. Falls back to an existing integration test suite when there is no interactive surface in scope. Use when the user asks to \"smoke test\", \"test it manually\", \"verify it works\", \"try it out\", \"run a smoke test\", \"check it in the browser\", or \"does it actually work\". Not a unit test runner.
Analyze what changed and generate a structured test plan at .turbo/test-plans/<slug>.md covering four escalating levels: basic functionality, complex operations, adversarial testing, and cross-cutting scenarios. Use when the user asks to \"create a test plan\", \"plan tests\", \"what should I test\", \"generate test scenarios\", \"test plan for this PR\", or \"what are the test cases\".
Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens reported separately from defects. Deeper than $smoke-test. Use when the user asks to \"exploratory test\", \"test thoroughly\", \"test all scenarios\", \"deep test\", \"test edge cases\", \"test everything\", \"break it\", \"find bugs by testing\", \"test usability\", or \"check the UX while testing\".
Run the post-implementation quality assurance workflow including tests, code polishing, review, and commit. Use when the user asks to \"finalize implementation\", \"finalize changes\", \"wrap up implementation\", \"finish up\", \"ready to commit\", or \"run QA workflow\".
Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA. Use for ad-hoc changes when no plan file or improvements backlog governs the work, and when the user asks to \"just implement\", \"implement directly\", \"implement without a plan\", or \"apply the change\".
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to \"investigate this bug\", \"debug this\", \"figure out why this fails\", \"find the root cause\", \"why is this broken\", \"troubleshoot this\", \"diagnose the issue\", \"what's causing this error\", \"look into this failure\", \"why is this test failing\", or \"track down this bug\".
Launch the app and hands-on verify that it works by interacting with it. Falls back to an existing integration test suite when there is no interactive surface in scope. Use when the user asks to \"smoke test\", \"test it manually\", \"verify it works\", \"try it out\", \"run a smoke test\", \"check it in the browser\", or \"does it actually work\". Not a unit test runner.
| Comprehensive ABAP development skill for SAP systems. Use when writing ABAP code, working with internal tables, structures, ABAP SQL, object-oriented programming, RAP (RESTful Application Programming Model), CDS views, EML statements, ABAP Cloud development, string processing, dynamic programming, RTTI/RTTC, field symbols, data references, exception handling, or ABAP unit testing. Covers both classic ABAP and modern ABAP for Cloud Development patterns.
| SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Use when preparing SAP finance CSV exports for classification or regression experiments with source-verified setup, leakage checks, and governance review.
| SAP Analytics Cloud (SAC) automated testing skill for designing capability-gated browser discovery and deterministic Playwright test suites for SAC stories, dashboards, reports, planning workflows, comments, permissions, visual regression, and reusable QA automation. This skill should be used when building SAC end-to-end tests, onboarding SAC dashboards into Playwright, creating dashboard profiles or scenario YAML, using Microsoft Edge/CDP, Chrome DevTools MCP, Vercel Labs agent-browser, or manual discovery for SAC components, testing SAC optimized stories, configuring SAC auth storage state, managing visual/data baselines, testing comments, planning writeback, data actions, multi actions, role-based views, restricted Windows/company environments, or creating SAC failure triage artifacts.
This skill should be used when developing SAP UI5 applications, including creating freestyle apps, Fiori Elements apps, custom controls, testing, data binding, OData integration, routing, and troubleshooting. Use when building enterprise web applications with SAP UI5 framework, implementing MVC patterns, configuring manifest.json, creating XML views, writing controllers, setting up data models (JSON, OData v2/v4), implementing responsive UI with sap.m controls, building Fiori Elements apps, writing unit tests with QUnit, integration tests with OPA5, setting up mock servers, handling security (XSS, CSP), optimizing performance, implementing accessibility features, or debugging UI5 applications. Also covers sap.ui.mdc controls and TypeScript control libraries.
Run a manual test of the current change end-to-end and output reproducible test instructions for the PR "Test instructions" section.
Guide users through creating, managing, and testing server configuration automation using Ansible. When automating server configurations, deploying applications with Ansible playbooks, managing dynamic inventories for cloud environments, or testing roles with Molecule, this skill provides idempotency patterns, secrets management with ansible-vault and HashiCorp Vault, and GitOps workflows for configuration as code.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.
Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.
Use when an n8n workflow isn't working, errors appear, results don't match what was expected, or the user says "this isn't working." Triggers on errors, unexpected output, "it's not working", "why is this happening", "the workflow stopped", failure investigation, or any debugging context.
Use when starting, designing, organizing, finishing, or shipping an n8n workflow. Covers visual layout (sticky notes), descriptions that capture the *why*, node names, validation, testing, folders/projects, and publishing. Triggers on create_workflow_from_code, update_workflow, validate_workflow, publish_workflow, archive_workflow, "design", "lay out", "organize", "structure", "sticky", "describe this workflow", "ship", "deploy", "publish", "name this workflow", or any folder/project organization request.
Create plugin development eval scenarios (JSON files with natural prompts and deterministic checks for testing plugin skills). NOT for Copilot Studio in-product evaluation — use /copilot-studio:create-eval-set for that.
> Create a test set CSV file for import into Copilot Studio's in-product Evaluate tab. Reads the agent's topics, instructions, and knowledge sources to generate meaningful test cases with appropriate graders (General quality, Compare meaning, Exact match, etc.). Use when the user asks to create, prepare, or generate evaluation test cases for their agent.
> Run a batch test suite via the Copilot Studio Kit (Dataverse API). Uses the Power CAT Copilot Studio Kit to execute test cases against a published agent and produces pass/fail results with latencies. Requires the Kit installed in the environment, an App Registration with Dataverse permissions, and a published agent.
Implements Teresa Torres' continuous discovery habits for weekly customer contact, opportunity solution trees, and assumption testing. Use when building discovery processes, conducting user research, validating assumptions, or establishing product trio workflows.
Builds features with A/B testing in mind using Ronny Kohavi's frameworks and Netflix/Airbnb experimentation culture. Use when implementing feature flags, choosing metrics, designing experiments, or building for fast iteration. Focuses on guardrail metrics, statistical significance, and experiment-driven development.
Automated UI testing for Windows desktop apps — generate a batch test script with the `winapp ui` UI Automation harness, run all tests in one pass, read results. Covers element assertions, interactions, value checking (TextBox, ComboBox, ToggleSwitch), keyboard shortcuts and typing (send-keys), hover, drag-and-drop, touch and pen input, file pickers, flyouts, dialogs, persistence, accessibility audits, and screenshot/video capture. Works on any Windows app (Win32, WPF, WinForms, WinUI 3, packaged or unpackaged).
Manage prompt versions, run A/B tests across agent prompts, track performance regressions, and safely roll out prompt changes in production. Covers prompt diffing, semantic versioning, canary releases, and automated evaluation.
Master shell scripting best practices, error handling, portability, debugging, and performance optimization for reliable automation scripts
Python best practices including type hints, async patterns, testing, and project structure
A structured idea testing framework that runs every concept through a reality checklist before you invest time, money, or energy. Combines lean validation, customer discovery, and risk analysis into a single process for solopreneurs, creators, and innovators.
Achieve and maintain WCAG compliance through inclusive design practices, proper ARIA usage, and comprehensive testing methodologies.
Structured debugging methodology, root cause analysis, logging strategies, and troubleshooting workflows
Comprehensive testing strategy covering unit, integration, e2e, property-based, and mutation testing with practical patterns
Comprehensive frontend testing strategy covering unit, integration, E2E, visual regression, and accessibility testing
WCAG 2.1/2.2 audit, axe, Lighthouse, manual testing, screen reader testing, and remediation
REST and GraphQL testing, Postman/Insomnia patterns, contract testing, schema validation, and monitoring
Playwright and Cypress patterns, selectors, assertions, API mocking, visual testing, and CI/CD
Load, stress, spike testing with k6/Locust, bottleneck analysis, and performance test automation
Test pyramid, risk-based testing, test planning, coverage metrics, and SDLC integration
MCP mocked marker smoke skill used by skill-up e2e tests.
Per-case mocked MCP override smoke skill used by skill-up e2e tests.
MCP stdio marker smoke skill used by skill-up e2e tests.
A skill with potentially flaky behavior for testing retry