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.

Generates publication-ready clinical decision support documents for pharma and clinical research, covering biomarker-stratified cohort analysis, evidence-graded treatment recommendations, statistical comparisons, and regulatory-ready LaTeX/PDF outputs.

Provides Python access to openFDA endpoints for drugs, devices, foods, veterinary products, and substances, enabling regulatory analysis, safety monitoring, recalls tracking, and pharmacovigilance research.

Query the GTEx portal and API to retrieve tissue-specific gene expression, eQTL, sQTL, and variant-level regulatory data for interpreting GWAS loci and exploring gene regulation across 54 human tissues.

Query the JASPAR REST API and Python helpers to retrieve TF binding profiles, convert PFMs to PWMs, and scan DNA sequences for high-confidence motifs, enabling regulatory variant interpretation, ChIP/ATAC analysis, and TF network construction.

This specialized AI acts as an auditor for Medical Devices (SaMD) compliance. It reviews critical documentation like Design History Files (DHF) and technical files against major global regulations, including 21 CFR Part 820, IEC 62304, and ISO 13485. It identifies compliance gaps, cites specific regulations, and provides actionable remediation steps to prepare for regulatory audits.

A comprehensive framework for global expansion, guiding businesses through market selection, evaluating entry modes (export, partnership, subsidiary), and executing localization strategies. Covers product adaptation, go-to-market planning, regulatory compliance, and operational setup for new international regions.

This router bundles 15 specialized compliance skills crucial for HealthTech and MedTech organizations. It provides structured guidance across major global regulations, including ISO 13485 QMS, EU MDR, FDA submissions, GDPR, and the EU AI Act. Use this when a compliance request is complex and needs to be accurately directed to a specific technical skill area (e.g., risk management, CAPA, data security).

This framework provides structured templates for managing communications during malware incidents. It generates tailored reports for various stakeholders, including C-level executives, technical IT teams, and regulatory bodies. The system accounts for severity levels (P1-P4) and different threat types, ensuring consistent, timely, and compliant information dissemination during a crisis.

This skill guides the setup of Host-Based Intrusion Detection Systems (HIDS) using industry-standard tools like Wazuh, OSSEC, or AIDE. It covers essential security practices, including File Integrity Monitoring (FIM) for critical directories, monitoring system calls, detecting configuration changes, and identifying rootkits. It is crucial for meeting regulatory compliance requirements (e.g., PCI DSS) and significantly enhancing overall endpoint security posture.

Amazon Macie is a fully managed data security service that automatically discovers, classifies, and protects sensitive data (PII, financial records, credentials) stored in Amazon S3. It uses advanced machine learning and pattern matching to identify compliance risks and enforce data governance policies. Ideal for organizations needing automated data discovery for regulatory compliance and improving overall cloud security posture.

Implement a comprehensive Cloud Security Posture Management (CSPM) solution across multi-cloud environments (AWS, Azure). This skill guides the use of industry tools like AWS Security Hub, Azure Defender for Cloud, Prowler, and ScoutSuite to continuously detect misconfigurations, compliance violations, and vulnerabilities. It is crucial for establishing robust, centralized security controls and meeting regulatory compliance requirements.