473 skills available for 30+ AI coding agents
by qaskills
Testing Service Level Agreements and Objectives including availability targets, latency percentiles, error budgets, and automated SLO compliance reporting.
Vue.js component testing using Vue Test Utils with mount/shallow mount, event simulation, Vuex/Pinia store testing, and composition API testing.
by thetestingacademy
Java BDD testing with Serenity BDD framework using the Screenplay pattern, Cucumber integration, step libraries, comprehensive reporting, and living documentation generation.
Testing patterns for Remix applications covering loader testing, action testing, route testing, form submission testing, and nested route integration testing.
Comprehensive testing patterns for Katalon Studio including codeless record-and-playback, Groovy scripted testing, custom keywords, data-driven testing, cross-browser execution, and CI/CD integration with Katalon TestOps.
Laravel PHP testing with PHPUnit, feature tests, browser tests with Dusk, database factories, mocking facades, and HTTP testing helpers.
Integration with Google OSS-Fuzz for continuous fuzzing of open-source projects with automated bug filing and regression tracking.
by Pramod
Audit empty states across web applications ensuring proper messaging, helpful CTAs, illustration rendering, and graceful handling when data is unavailable
Teach agents to build synthetic monitoring as code with Checkly, including Playwright browser checks, API checks, alerting, and CI deploy workflows.
Testing voice-activated applications including speech recognition accuracy, intent detection, dialog flow testing, and multi-language support.
Compare multiple job offers side-by-side with total compensation analysis
Approval testing methodology using ApprovalTests library for verifying complex outputs against human-approved results with diff-based review.
Systematic patterns for prompting AI coding agents to generate high-quality tests including prompt engineering for test creation, coverage-driven generation, mutation-aware testing, and review checklists for AI-generated test code.
Measure RAG pipeline quality with context precision/recall, faithfulness, answer relevancy, and groundedness using Ragas and DeepEval, with golden datasets and pass/fail thresholds.
API endpoint fuzzing for discovering unexpected behaviors, crashes, and security vulnerabilities through malformed requests, boundary values, and protocol violations.
Enforcing performance budgets in CI/CD including bundle size limits, load time thresholds, Lighthouse score gates, and resource count limits.
Automated detection and prevention of leaked secrets, API keys, passwords, and tokens in code using tools like gitleaks, trufflehog, and pre-commit hooks.
Test LLM applications with DeepEval, pytest-style unit tests for LLM outputs using G-Eval, answer relevancy, faithfulness, hallucination and custom metrics, with CI quality gates and dataset-driven regression runs.
Fuzz testing for Rust applications using cargo-fuzz and libFuzzer to discover memory safety issues, panics, and undefined behavior.
Network latency simulation and testing for measuring application behavior under various network conditions including high latency, packet loss, and bandwidth constraints.