Skill UI

This comprehensive dashboard tracks and analyzes usage metrics for AI coding assistants (Cursor) in enterprise environments. It monitors total requests, model consumption, user adoption rates, and associated costs. Managers can use it to optimize resource quotas, control AI spending, and calculate the Return on Investment (ROI) to justify AI tool adoption.

Provides production-ready coding patterns for integrating Deepgram using TypeScript and Python. This guide covers essential best practices, including implementing singleton client management, performing text-to-speech synthesis with Aura, and setting up advanced audio intelligence pipelines (e.g., summarization, topic detection, sentiment analysis). Use this when establishing robust Deepgram integration standards, refactoring existing SDK usage, or migrating to newer SDK versions.

Automates dependency vulnerability checks within the Security Fundamentals skill set, guiding users through best practices, secure coding patterns, and remediation-ready output validation.

A comprehensive set of production-ready design patterns for integrating with the Documenso SDK. It covers best practices for managing singleton clients, building typed service wrappers, robust API error handling (including status code analysis), and automatically implementing retry logic with exponential backoff. Ideal for establishing stable, scalable, and maintainable coding standards in TypeScript and Python.

Feature Engineering Toolkit automates creating, selecting, and transforming dataset features to improve machine learning models; use it whenever you need new interactions, automatic selection, scaling, or encoding to boost accuracy and interpretability.

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.

A comprehensive guide to implementing production-ready patterns for the Exa-js SDK. Covers critical architectural concerns such as client singletons, type-safe wrapper functions, advanced error handling, exponential backoff retry logic, and robust response validation using Zod. Use this when integrating Exa APIs into large-scale applications or establishing team coding standards for maximum stability and maintainability.

Automates Formdesk workflows through Composio’s Rube MCP connectors, guiding tool discovery, connection verification, schema-compliant executions, and session handling so you can reliably run refreshed Formdesk operations without hardcoding tool details.

Frontend Blueprint is an AI design consultant that structures discovery before coding, asking targeted questions, collecting references, and validating direction to deliver pixel-faithful UI components only when the context is clear.

This skill acts as a comprehensive security scanner specializing in detecting Cross-Site Scripting (XSS) vulnerabilities in client-side code. It performs static analysis across React, Vue, Angular, and vanilla JavaScript, specifically identifying unsafe practices like direct HTML manipulation (innerHTML), raw rendering (v-html), and insecure URL handling. Use it when auditing frontend code for security flaws and needing best practices for secure coding.

An expert skill dedicated to building secure, robust frontend applications. It specializes in preventing client-side vulnerabilities such as XSS and clickjacking. Core capabilities include safe DOM manipulation, implementing Content Security Policy (CSP), advanced input sanitization (allowlisting), and securing complex interactions like secure redirects and session management.

This skill guides the development of robust, security-focused full-stack web applications. It ensures layered security coverage across the entire application stack, from database queries (parameterized queries) to API endpoints (authentication/authorization) and frontend components (input validation, output encoding). Use this when building end-to-end features, microservices, or REST APIs that require simultaneous attention to Frontend, Backend, and Security best practices.