Skill UI

Neon is a robust serverless Postgres platform that separates compute and storage, offering advanced features like autoscaling, branching, and instant restore. This guide provides comprehensive resources on setting up, connecting to, and utilizing Neon databases. It is fully compatible with standard Postgres and integrates seamlessly with various languages, ORMs, and developer tools for robust data management.

This skill enables AI-assisted API development workflows. It can generate type-safe API clients, comprehensive documentation, and SDKs for multiple languages (such as Python or TypeScript) directly from OpenAPI/Swagger specifications. It is essential for developers building complex integrations or needing to standardize API usage across multiple platforms.

This skill automates the creation of isolated, pre-configured development containers (devcontainers). It scans the project structure to detect supported languages (Python, Node.js, Rust, Go) and intelligently generates the necessary configuration files, VS Code extensions, and setup scripts. It ensures all required tools are installed in a sandboxed environment, making it ideal for starting new multi-language projects or needing consistent, reproducible development workspaces.

This skill provides a structured workflow for porting existing Semgrep security rules to multiple target languages. It guides users through applicability analysis, test-first rule creation, and validation for each language variant, ensuring consistent and accurate security coverage across polyglot codebases.

A comprehensive guide for authorized penetration testers on identifying and exploiting insecure deserialization vulnerabilities across multiple languages (Java, PHP, Python, .NET). Covers techniques for generating payloads using tools like ysoserial and phpggc, and testing various application components such as cookies, HTTP parameters, and message queues to achieve potential Remote Code Execution (RCE).

This guide details how to use Google Distroless images to drastically reduce the attack surface of containerized applications. By eliminating shells, package managers, and unnecessary OS utilities, these minimal base images enhance security, align with compliance standards, and improve supply chain security in Kubernetes and Docker deployments. It provides multi-stage build patterns for various languages (Go, Java, Python, Node.js).

This file serves as the dedicated translation resource for the MCP Server Patterns library. It is used to localize key strings and texts to ensure accurate user experience across different languages. Developers should refer to the original skill file for the core English content.

This comprehensive guide provides detailed procedural steps for configuring and executing CodeQL code scanning. It covers both implementing automated workflows using GitHub Actions (`codeql.yml`) and running scans via the CodeQL CLI. Users will learn how to manage language matrices, set build modes, interpret SARIF outputs, handle monorepo structures, and troubleshoot complex security analysis setups across multiple languages (e.g., Python, Java, C++).

This guide details the process of implementing internationalization (i18n) in a Next.js application using the next-intl library. It provides step-by-step instructions on adding new languages, covering translation updates, configuring routing, modifying middleware, and updating UI components to ensure complete multi-language support.

This skill provides comprehensive guidance for building and refining applications, plugins, and function-calling flows using the Semantic Kernel framework. It supports multiple languages, including .NET and Python. Guidance emphasizes consulting the latest official documentation, adhering to best practices (like async patterns and strong typing), and correctly handling multi-ecosystem development.

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.

Generates customizable prompts to scan a codebase, identify high-quality exemplars, and document patterns across languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable depth, categorization, and documentation formats.