Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 80 149 files from 1 774 authors, of which 62 489 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Teaches the agent to structure tests with test.step, attach evidence and annotations via test.info, use soft assertions, and produce readable, debuggable Playwright HTML reports.
AI-enhanced visual testing with Playwright combining screenshot comparison, visual AI engines, and intelligent diff analysis for catching visual regressions at scale.
Visual regression testing with Playwright including screenshot comparison, pixel-diff thresholds, dynamic content masking, and cross-browser visual validation.
API testing skill using Postman and Newman, covering collections, environments, pre-request scripts, test scripts, and CI/CD integration with Newman.
Automated API testing using Postman collections with Newman CLI for CI/CD integration, environment management, and test reporting.
Review pull requests for test coverage like a senior SDET, map the diff to required test classes, spot untested branches and missing regression tests, judge test quality not just presence, and write actionable review comments.
Analyze pull request code changes to determine which tests are affected, recommend test execution order, and identify missing test coverage for modified code paths
Build lightweight production smoke test suites that verify critical user paths, API health, and third-party integrations after every deployment.
Comprehensive prompt testing and LLM output evaluation skill covering hallucination detection, response quality scoring, regression testing for prompts, A/B testing, and building evaluation pipelines for AI-powered applications.
Evaluate and red-team LLM applications with promptfoo, declarative YAML evals, assertions, model comparisons, and automated adversarial scans for prompt injection, jailbreaks, PII leaks, and unsafe outputs in CI.
Property-based testing using hypothesis, fast-check, and QuickCheck to generate random test inputs and verify program invariants automatically.
Comprehensive Protractor end-to-end testing skill for Angular and AngularJS applications with Angular-specific locators, automatic waitForAngular synchronization, Page Object patterns, and migration guidance to modern frameworks.
Automate Chrome with Puppeteer for scraping, screenshots, PDF generation, and E2E checks — correct launch options, reliable waiting with locators and waitForSelector, request interception, and headless CI execution.
Comprehensive Puppeteer browser automation and testing skill for headless Chrome scripting, web scraping, PDF generation, network interception, and end-to-end test workflows in JavaScript and TypeScript.
PWA testing skill covering service worker validation, offline mode testing, cache strategy verification, web app manifest testing, push notification testing, install prompt testing, and background sync verification.
Opinionated pytest patterns for AI agents - conftest fixture scoping, parametrize, markers, pyproject config, coverage, xdist parallelism, mocking, and AAA-structured test naming.
Python testing skill using pytest, covering fixtures, parametrize, markers, conftest, plugins, mocking, and advanced testing patterns.
Comprehensive Python testing best practices with pytest, covering unit testing, integration testing, mocking, fixtures, property-based testing, and test architecture.
Comprehensive Python unittest skill covering TestCase patterns, assertion methods, mocking with unittest.mock, subtests, fixtures, and test organization for robust Python application testing.
Turn Claude Code into an autonomous QA agent — an explore, generate, run, heal, report loop that maps the app, writes tests for real user journeys, executes them, self-heals broken locators, and reports coverage. Build a QA agent skill for Claude Code.
Pull weekly/monthly performance metrics for qaskills.sh from Google Analytics 4 (GA4) and Google Search Console (GSC) via Claude in Chrome. Returns traffic, channels, top queries, top pages, growth deltas in a single report.
Teach agents to define and enforce CI quality gates for diff coverage, flaky tests, performance budgets, security thresholds, and regression health.
Testing message queue implementations including RabbitMQ, SQS, and Kafka with delivery guarantees, ordering, dead letter queues, and consumer testing.
Detect and diagnose race conditions in web applications through concurrent interaction testing, state mutation analysis, and timing-sensitive scenario reproduction.
Measure RAG pipeline quality with context precision/recall, faithfulness, answer relevancy, and groundedness using Ragas and DeepEval, with golden datasets and pass/fail thresholds.
Gate RAG pipelines in CI with versioned golden eval sets, per-metric thresholds, baseline drift detection, and a build that fails when retrieval or answer quality regresses.
Evaluate RAG pipelines with Ragas, measuring faithfulness, answer relevancy, context precision and recall, building golden datasets, and wiring threshold gates into CI for retrieval regressions.
Rails application testing with RSpec, FactoryBot, Capybara, system tests, request specs, model specs, and Rails-specific testing conventions.
Component testing using React Testing Library with user-centric queries, accessibility-focused selectors, and integration testing patterns.
Testing real-time collaborative features including conflict resolution, CRDT validation, cursor presence, and concurrent editing scenarios.
Redis testing including cache behavior verification, pub/sub testing, transaction testing, cluster failover testing, and data expiration validation.
Convert bug reports and incident post-mortems into automated regression tests that prevent recurrence of previously discovered defects.
Intelligent regression test selection using code change analysis, dependency graphs, and risk assessment to minimize test execution time.
Teach agents to build go or no-go release readiness scorecards with gated criteria for coverage, flakes, defects, performance, security, and sign-off.
Testing patterns for Remix applications covering loader testing, action testing, route testing, form submission testing, and nested route integration testing.
Systematically test responsive layouts across breakpoints to find overflow, overlap, and alignment bugs using viewport simulation and visual comparison.
Automated responsive design testing across breakpoints, viewports, and devices with visual comparison and layout verification.
API testing skill using REST Assured for Java, covering request specifications, response validation, authentication, JSON schema validation, and serialization.
Production-grade REST API automation framework with REST Assured, POJO serialization using GSON, PayloadManager pattern, E2E integration workflows with TestNG ITestContext, and Allure reporting.
Testing retry mechanisms, circuit breakers, bulkheads, and timeout patterns for building resilient distributed systems.
Risk-based testing approach for prioritizing test efforts based on business impact, change frequency, complexity, and historical defect patterns.
Expert-level Robot Framework testing skill covering keyword-driven syntax, SeleniumLibrary, RequestsLibrary, custom Python keywords, data-driven testing, resource files, and parallel execution with Pabot.
Comprehensive Ruby testing with RSpec including describe/context/it blocks, matchers, let/before hooks, mocking with doubles, shared examples, and Rails integration.
Classic xUnit-style Ruby testing with Test::Unit covering assertions, fixtures, test case organization, mocking patterns, and lifecycle hooks for reliable Ruby application testing.
Rust testing with built-in test framework, integration tests, doc tests, property-based testing with proptest, and cargo test configuration.
Processing and analyzing Static Analysis Results Interchange Format (SARIF) files for aggregating security findings across multiple scanning tools.
Generate and maintain visual regression screenshot baselines with intelligent diffing, responsive breakpoint coverage, and dynamic content masking strategies
Cross-platform desktop and application screenshot capture for visual testing, UI verification, and automated visual comparison across macOS, Linux, and Windows.
Integrating screenshot-based visual testing into CI pipelines with baseline management, review workflows, and cross-platform rendering comparison.
Automated screenshot comparison testing with configurable thresholds, anti-aliasing tolerance, and responsive viewport visual validation.
Comprehensive SDET interview preparation covering coding challenges, system design for testing, automation framework design, CI/CD pipeline questions, testing strategy discussions, and behavioral interview patterns for QA engineering roles.
Evaluate search functionality quality including relevance ranking, typo tolerance, faceted filtering, autocomplete accuracy, and zero-results handling
Search feature testing including relevance scoring, autocomplete, typo tolerance, faceted search, pagination, and search analytics verification.
Automated detection and prevention of leaked secrets, API keys, passwords, and tokens in code using tools like gitleaks, trufflehog, and pre-commit hooks.
Generate test data from the schemas you already have. Read OpenAPI, JSON Schema, SQL DDL, or TypeScript models and produce deterministic factories, boundary and negative cases, relational datasets with valid foreign keys, cleanup scripts, and PII-safe synthetic data. Production records never leave the machine.
Perform language and framework specific security best-practice reviews, vulnerability detection, and secure-by-default coding guidance for Python, JavaScript/TypeScript, and Go applications.
Analyze git repositories to build security ownership topology, compute bus factor for sensitive code, detect orphaned security-critical files, and export ownership graphs for visualization.
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations to produce actionable AppSec-grade threat models.
Expert-level Selenide UI testing skill for Java applications. Covers concise fluent API, automatic waits, smart selectors, collections, Page Objects, and integration with JUnit 5 and Gradle/Maven builds.
Advanced Selenium WebDriver framework with three Page Object Model patterns (Basic POM, Improved POM, Page Factory), retry mechanisms, Allure reporting, Excel data-driven testing, and Selenoid grid support.
Claude Skills — questions
Answers built from the skills we actually parsed.