Skill UI

Automates request validator generator tasks within backend development by offering best-practice guidance, generating production-ready code/configuration, and validating outputs across Node.js, Python, Go, microservices, and database domains.

Guides API developers through automatic response schema generation, offering best practices, code/configuration samples, and validation to keep REST, GraphQL, or OpenAPI responses compliant.

Automates performance testing response time analysis by guiding through best practices, helping you build production-ready scripts and configurations, and validating outputs whenever response time analyzer tasks are requested.

Provides automated guidance for setting up responsive breakpoint analysis, follows frontend best practices, validates configurations, and supports React/Vue/CSS accessibility and performance scenarios.

Rest Endpoint Designer automatically activates when you ask about designing REST APIs, providing best-practice guidance, sample configurations, OpenAPI/GraphQL tips, and validation checks so your API development stays production-ready.

This guide provides comprehensive instructions on installing the Retell AI SDK (for both Node.js and Python) and configuring the API key. It is essential for developers building advanced voice agents, integrating phone call automation, or working with any telephony-based AI application using the Retell platform.

Automates guidance for AWS Route53 record tasks by offering best-practice patterns, code snippets, configuration checks, and validation to help operators manage DNS records, routing policies, and automation workflows.

Runbook Creator Assistant automates technical documentation workflows by guiding users through runbook patterns, producing production-ready configs, and validating API docs, user guides, and architecture write-ups.

Provides a comprehensive guide and framework for executing end-to-end (E2E) tests. It simulates real user interactions across the entire application stack, covering browser UI, API calls, and database operations. The guide details best practices like implementing the Page Object Model (POM), configuring multi-browser environments (Playwright, Cypress, Selenium), and establishing robust error handling mechanisms to ensure high application stability and quality.

Runs a predefined suite of smoke tests to verify key application functionality, authentication, integrations, and system health after deployments, upgrades, or configuration updates.

Automates S3 bucket policy generation within AWS, offering step-by-step guidance, safeguards best practices, and produces production-ready configurations for compute, storage, networking, and serverless scenarios.

Automates guidance on setting up and verifying AWS S3 lifecycle configurations, delivering best-practice steps, reusable templates, and validation for storage automation tasks.