Skill UI

Use Mailtrap Email Sandbox to capture and inspect outbound emails without sending them to real recipients. This is crucial for development, staging, and CI/CD environments. It allows developers to test email content, headers, attachments, and spam scores using dedicated APIs, SMTP settings, or SDKs, ensuring mail integrity before deployment. Ideal for automation and rigorous quality checks.

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

This skill generates ready-to-use CI/CD pipeline configurations for automated API testing using Newman. It supports multiple platforms including GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI. Users can specify collection sources, environment variables, and report formats like JUnit or HTML. The generated scripts install Newman and execute Postman collections within the pipeline, ensuring consistent API quality checks across different development environments.

This skill generates complete, import-ready Postman Collection v2.1 JSON files from natural language API descriptions or cURL commands. It parses headers, authentication, body, and query parameters to create structured API collections and companion environment files. Ideal for API testing and development workflows.

This skill generates Newman CLI commands, configuration files, Jenkins pipeline scripts, and shell automation for running Postman collections in CI/CD or local environments. It helps automate API testing workflows by creating reusable scripts and pipeline configurations that integrate seamlessly with development and deployment processes, ensuring consistent test execution.

Converts OpenAPI 3.x or Swagger 2.0 specifications into Postman Collection v2.1 JSON files. Automatically maps paths, parameters, authentication, and generates example request bodies. Includes environment variable extraction for seamless API testing and development workflows.

This skill generates Puppeteer scripts for browser automation, web scraping, and PDF creation. It supports headless Chrome, network interception, wait strategies, and cloud integration for testing. Ideal for automating browser interactions and extracting data efficiently.

This skill acts as an expert architect to generate complete, production-ready Python project structures. It supports various modern architectures, including FastAPI, Django (full-stack), standalone libraries, and CLI tools. It ensures adherence to best practices, includes dependency management (uv, pip), type hinting, and comprehensive testing skeletons.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

This skill generates Robot Framework tests using keyword-driven syntax with Python. It supports SeleniumLibrary for web UI testing and RequestsLibrary for API testing. Users can define custom keywords and create data-driven test cases. Ideal for automation engineers needing structured test scripts for web applications and backend services. Supports cloud integration and CI/CD pipelines.

This skill specializes in scaffolding production-ready Rust applications. It generates complete project structures using Cargo tooling, ensuring proper module organization, testing setup, and configuration following Rust best practices. It supports binary, library, workspace, and web API project types with idiomatic code patterns.

This skill automatically routes subtasks to the most cost-effective Claude model (Haiku, Sonnet, or Opus) based on complexity. It logs real token usage and cost per session, and includes an A/B testing feature to validate model tier savings against your actual workload, ensuring accurate cost control.