Skill UI

An expert resource for developing highly reusable, production-grade cloud infrastructure using AWS Cloud Development Kit (CDK) in languages like TypeScript, Python, or Java. This guide provides established patterns for common services (e.g., Serverless APIs, ECS, Data Pipelines), focusing on best practices such as implementing least privilege, separating stateful resources, and ensuring monitoring via CloudWatch.

This comprehensive guide demonstrates how to integrate external applications with the Clay platform using webhooks. Users learn to send raw data (such as company domains or lead information) via API calls in multiple popular languages (cURL, Python, Node.js). Clay automatically processes this data through configured enrichment columns and returns enriched, structured results. This is essential for building robust data pipelines and testing webhook setups.

This comprehensive skill uses industry-standard tools like Prettier to automatically format and validate code files across multiple languages (JavaScript, TypeScript, JSON, CSS, Markdown, etc.). It ensures code style consistency, improves readability, and helps maintain a clean, professional codebase. Use it when needing to "format my code," "check formatting," or enforce code style across a project.

An expert AI specialist that integrates advanced static analysis (e.g., CodeQL, SonarQube) with modern DevOps practices. It performs multi-layered code reviews, checking for security vulnerabilities, performance bottlenecks, architectural flaws, and adherence to best practices across various languages. Ideal for CI/CD pipelines and pull request validation.

Automates CodeQL database builds, suite selection, and taint-aware scans to surface security and quality issues across supported languages, handling output directories, SARIF results, and extensions in one workflow.

This is an interactive, step-by-step installer for the Everything Claude Code (ECC) project. It guides users through the selection and installation of technical skills and coding rules into user or project-level directories. It validates paths, ensures proper dependency setup, and optimizes installed components to maintain coding standards across various frameworks (Django, Spring Boot, React, etc.) and languages (Python, Go, TypeScript).

A comprehensive guide for integrating and managing VS Code extensions within the Cursor IDE environment. This resource details the transition from the Microsoft Marketplace to the Open VSX Registry, covering installation methods (in-app, VSIX, CLI), conflict resolution with advanced AI features (e.g., Copilot, TabNine), and best practices for ensuring optimal performance and recommended extension stacks for various languages like Python, JavaScript, and Go.

A comprehensive toolkit for evaluating the performance of code generation models. It supports benchmarking against industry standards like HumanEval, MBPP, and MultiPL-E across multiple languages. Use this tool to quantitatively compare different LLM coding abilities and measure code synthesis quality using pass@k metrics.

This guide provides comprehensive instructions for developers to install and set up the Exa SDK (exa-js for Node.js, exa-py for Python). It covers setting up API key authentication using environment variables and demonstrates client initialization for both major languages, enabling developers to utilize Exa's neural search API for web content retrieval.

This guide outlines essential security protocols for integrating Fireflies.ai. It covers best practices for managing sensitive API keys (e.g., environment variables, pre-commit hooks), implementing robust HMAC-SHA256 webhook signature verification in multiple languages (TypeScript, Python), and correctly configuring transcript privacy levels to ensure data confidentiality. Ideal for developers setting up production-ready integrations.

This skill acts as a specialized expert for transitioning codebases across various frameworks, languages, versions, and platforms. It generates detailed migration plans, automated migration scripts, comprehensive risk assessments, and rollback strategies. Use it when upgrading technology stacks or moving code between disparate systems to ensure minimal disruption and maintain core functionality.

This comprehensive guide provides documentation and code examples for utilizing the Gemini API, Google's advanced multimodal AI platform. It enables developers to power applications with cutting-edge capabilities, including text generation, multimodal understanding (images, audio, video), function calling, and structured data output. Supports major languages like Python, JavaScript, and Go.