Skill UI

Arboreto infers gene regulatory networks from bulk or single-cell RNA-seq data using scalable GRNBoost2 and GENIE3 algorithms, letting researchers filter transcription-factor targets, run distributed Dask jobs, and export ranked links for downstream analysis.

Direct Python helpers for KEGG's REST API, covering database metadata, listing, search, retrieval, ID conversion, linkage, and drug interactions to power pathway and gene analysis.

Analyzes oral health records to detect trends, assess caries and periodontal risks, and generate personalized care advice. Supports linked analysis with nutrition, chronic disease, medication, and eye health data for comprehensive oral care insights.

Analyze page content quality, E-E-A-T signals, readability, structure, linking, and AI-content risk. Useful for SEO audits, thin-content reviews, and assessing whether a page is helpful, trustworthy, and citation-ready.

Access live SEO data through DataForSEO MCP tools for SERP analysis, keyword research, backlink profiles, on-page checks, competitor research, and AI visibility tracking. Useful when you need real search results and up-to-date metrics.

This skill provides comprehensive analysis and structured data extraction for academic research papers hosted on Hugging Face and arXiv. It can read paper content in markdown format, retrieve key metadata (authors, abstracts, GitHub repos), and identify linked assets such as associated models, datasets, and Spaces. Use this when the user provides a Hugging Face or arXiv URL, or explicitly requests a summary or explanation of an AI research topic.

Maps out a complete topical authority structure by defining a pillar page, generating prioritized cluster articles (8-15), building a detailed internal link map, and performing a content gap analysis. This skill is essential for comprehensive SEO content strategy, ensuring all written content supports a core topic and identifies untapped AEO opportunities.

This skill analyzes a set of web pages to generate a prioritized roadmap for internal linking optimization. It identifies natural link opportunities, detects critical orphan pages, and warns against anchor text cannibalization risks. The output provides the exact anchor text, the optimal context sentence for placement, and classifies the link type (e.g., Cluster to Pillar), ensuring maximum authority flow and improved search engine visibility.

A comprehensive, structured framework for conducting sophisticated Open Source Intelligence (OSINT) and cryptocurrency forensic investigations. This guide covers operational security (OpSec), target profiling, advanced transaction tracing across multiple blockchain layers (L1/L2), wallet analysis, and identifying linked digital assets. Use this methodology to guide systematic, multi-dimensional intelligence collection campaigns.

A comprehensive playbook for advanced mobile security assessments of iOS applications. Covers both jailbroken and non-jailbroken environments, focusing on critical attack vectors such as keychain extraction, URL scheme hijacking, Universal Links exploitation via AASA misconfigurations, runtime memory manipulation (Frida/Objection), and binary protection analysis.

Analyze backlink profiles including referring domains, anchor text distribution, toxic link signals, and competitor gaps. Useful for backlink audits, link building, disavow decisions, and diagnosing SEO authority issues.

An evidence-led SEO workflow built around the Find → Leverage → Optimize → Win loop. Use it to surface stage-specific AI prompts for keyword research, backlink strategy, on-page improvements, and conversion-focused SEO analysis.