Loading...
Loading...
Found 2,347 Skills
Check and configure UX testing infrastructure (Playwright, accessibility, visual regression)
Automates Chrome browser workflows for testing web apps, debugging with console/network logs, extracting data, filling forms, and interacting with authenticated web applications (Google Docs, Gmail, Notion). Use when testing local web apps, debugging frontend issues, automating data entry, scraping web content, or working with authenticated services. Triggers on "test my web app", "check the console", "fill this form", "extract data from [URL]", "automate [browser task]", "open [authenticated app]", or debugging web application issues. Works with Chrome via Claude in Chrome extension (MCP tools: navigate, click, form_input, read_console_messages, read_network_requests, tabs_context_mcp, gif_creator).
Analyze gaps between requirements/features that should be tested and actual test coverage, identifying testing deficiencies and prioritizing test improvements
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
Guide for testing code changes in AEM Edge Delivery projects including blocks, scripts, and styles. Use this skill after making code changes and before opening a pull request to validate functionality. Covers unit testing for utilities and logic, browser testing with Playwright, linting, and guidance on what to test and how
Instrument Python LLM apps, build golden datasets, write eval-based tests, run them, and root-cause failures — covering the full eval-driven development cycle. Make sure to use this skill whenever a user is developing, testing, QA-ing, evaluating, or benchmarking a Python project that calls an LLM, even if they don't say "evals" explicitly. Use for making sure an AI app works correctly, catching regressions after prompt changes, debugging why an agent started behaving differently, or validating output quality before shipping.
Use this skill when deploying ML models to production, setting up model monitoring, implementing A/B testing for models, or managing feature stores. Triggers on model deployment, model serving, ML pipelines, feature engineering, model versioning, data drift detection, model registry, experiment tracking, and any task requiring machine learning operations infrastructure.
Pre-commit quality checklist covering lint, typecheck, tests, code-spec sync, API changes, database migrations, cross-layer verification, and manual testing. Blocks commit if infra or cross-layer specs lack executable depth. Use when code is written and tested but not yet committed, before submitting changes, or as a final review before git commit.
Guides the agent through Angular-specific patterns for Ionic app development. Covers project structure, standalone vs NgModule architecture detection, Angular Router integration with Ionic navigation (tabs, side menu, modals), lazy loading, Ionic page lifecycle hooks, reactive forms with Ionic input components, Angular services for state management, route guards, performance optimization, and testing. Do not use for creating a new Ionic app from scratch, upgrading Ionic versions, general Ionic component usage unrelated to Angular, Capacitor plugin integration, or non-Angular frameworks (React, Vue).
Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.
Scope coverage, build a testing strategy, test the feature with agent-browser, capture screenshots/video (always mandatory), upload to S3, and create a structured test report (never skip)
Implement a unit-test runner script (Bash on macOS/Linux, PowerShell on Windows) for an arbitrary programming language, following the same conceptual pattern as the bundled Java reference script in assets/. Use when the user wants to add a testing script for a new language (Python, Node.js, Go, Rust, etc.) to a ***plain project, or wants to regenerate / adapt the existing Java runner.