Skill UI

A comprehensive skill to extract and transcribe subtitles from any YouTube video URL. It utilizes a two-stage approach: first, attempting fast extraction via the yt-dlp CLI tool; failing that, it falls back to advanced browser automation using Chrome DevTools MCP to scrape the transcript panel content directly from the webpage DOM. The output is always a clean, timestamped plain text file.

This skill guides users through connecting external services, proprietary APIs, or custom tools to the Digital Marketing Pro plugin. It manages the entire integration lifecycle: searching the npm registry for pre-built packages, generating complex MCP JSON configurations, handling environment variables, and executing connectivity tests. Essential for expanding plugin functionality with external data sources like CRM, payment gateways, or specialized analytics platforms.

Provides a comprehensive dashboard for monitoring all connected and available third-party connectors (MCP). Users can check the status of critical marketing tools like CRM, SEO, and advertising. This skill helps identify active capabilities, highlights recommended next connections, and guides setup processes to maximize skill usage.

This skill utilizes a configured graph database (Codebase Memory) to accelerate code discovery, understand system architecture, perform symbol lookups, and trace dependencies (callers, callees, data flow). It is crucial for navigating unfamiliar or complex codebases, providing insights into impact analysis and module relationships. Always confirm graph findings with local source code or files.

Genomic Intelligence provides powerful, hosted transformer models for advanced genomic analysis. Users can input a DNA/FASTA sequence and receive structured predictions for key regulatory features, including promoter regions, splice sites, enhancer activity, chromatin state, gene expression (log TPM), and de-novo gene annotation. This service operates via a REST API or MCP server, eliminating the need for local GPU hardware or model weights, making complex bioinformatics accessible through sequence input.

Performs a comprehensive security audit of Model Context Protocol (MCP) implementations, including servers, clients, and tools. This skill reviews code against critical security baselines (MCP-01 to MCP-05), OWASP MCP Top 10, and common Remote Code Execution (RCE) vectors (e.g., command injection, deserialization, SSRF). The output provides a detailed report with file and line references, ensuring compliance and identifying vulnerabilities before release. Use this when auditing network-exposed services or client security posture.

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.

Exa MCP provides advanced neural search capabilities across the web, specialized code repositories (like GitHub), and corporate/personnel databases. Use it for deep background research, finding the latest news, debugging complex code patterns, or conducting thorough market and competitor analysis.

This skill helps diagnose the health and gather comprehensive status reports for the Ruflo system, including the MCP server and active agents. It provides a read-only workflow to check system status or, when explicitly requested, performs a non-destructive repair and reports the changes.

ccboard is a comprehensive TUI and Web dashboard designed for monitoring and managing Claude Code usage. It provides unified visibility into token consumption, detailed cost tracking, session history, and the real-time status of Model Context Protocol (MCP) servers. Use it to analyze usage patterns, manage configurations, and ensure cost efficiency across all projects.

This skill deploys the OpenMed Model Context Protocol (MCP) server, exposing critical clinical NLP tools such as NER, PII extraction, and de-identification. It enables AI coding agents and chat clients to interact with OpenMed's capabilities via simple tool calls, running locally on-device to ensure user data privacy and security. Supports both stdio and Streamable HTTP deployment modes.

A comprehensive, systematic workflow for reverse engineering client-side JavaScript. It guides users through five stages: Observation, Capture, Rebuilding, Patching, and Deep Dive. Applicable for locating API signatures, analyzing encryption parameters, tracking runtime function calls, and reconstructing complex web environments locally for evidence collection and reproduction. Utilizes advanced tools like jshookmcp and various js-reverse_* utilities.