Skill UI

This skill provides comprehensive functionality for querying, comparing, and calculating nutritional data from a structured food database. Users can perform precise searches by food name or nutritional criteria (e.g., high protein, low GI). It supports calculating total nutrient intake based on specific portions, suggesting foods for various health conditions (like diabetes or high blood pressure), and performing detailed comparative analysis between multiple food items.

Use this skill to perform read-only API calls for exploring, previewing, searching, and filtering structured datasets hosted on Hugging Face. It allows users to validate dataset availability, list splits, paginate large datasets, and retrieve comprehensive metadata and statistics, making it ideal for data validation and content extraction workflows.

Literature Review Tool helps researchers gather and synthesize key insights from scholarly texts, highlighting patterns and critical arguments to accelerate literature surveying workflows even when structured content is initially unavailable.

Analyzes research papers to break down structure and summarize key points, offering citation highlights and insights for desk research or literature review planning.

Helps implement, audit, and validate JSON-LD schema markup so websites earn rich results, clarify content for AI search, and track structured data issues reported in Search Console before launching updates.

This specialized skill acts as an expert SEO consultant to diagnose website performance issues. It conducts comprehensive audits covering Technical SEO (crawlability, site structure), On-Page SEO (metadata, content quality), and Content Strategy. It provides a highly structured, actionable report with prioritized recommendations to boost organic search ranking and visibility.

Intelligent multi-strategy web scraper that selects between static WebFetch, browser automation, curl/bash, and WebSearch paths to extract structured tables, lists, pricing, and other data, with pagination handling, validation confidence, transforms, and CSV/JSON output for monitoring workflows.

Python toolkit that queries the arXiv Atom API to search papers by keywords, authors, categories, or IDs, filter results, download PDFs, and emit structured JSON for AI/ML literature reviews and monitoring.

This advanced GEO-first tool performs comprehensive audits designed for the modern AI search landscape (ChatGPT, Gemini, Google AI Overviews). It moves beyond traditional SEO, assessing citability scoring, E-E-A-T, technical foundations, structured data validation, and brand authority signals. It provides actionable, client-ready reports to ensure maximum visibility in AI-driven search traffic.

Analyzes a website's accessibility to major AI crawlers (e.g., GPTBot, ClaudeBot). It checks robots.txt, meta tags, and HTTP headers to generate a complete access map. This helps users optimize their site structure to maximize visibility in AI-generated search results while maintaining appropriate control over data usage.

This agent provides structured summarization for academic papers, reports, and articles. It goes beyond simple summarizing by extracting key findings, generating comparative matrices across multiple sources, and producing properly formatted citations (APA, IEEE, etc.). It is designed for analysts, product managers, and researchers who need actionable, deep insights from dense documentation.

Perform comprehensive digital forensic analysis on raw (dd), E01, or AFF disk images using industry-standard tools like Autopsy and The Sleuth Kit. This process allows investigators to recover deleted files, examine file system metadata, search for specific keywords, and build detailed investigation timelines. It is essential for generating structured reports from digital evidence in legal and cybersecurity investigations.