Skill UI

This skill provides comprehensive support for generating high-stakes clinical documentation, including case reports (CARE guidelines), diagnostic summaries (radiology/pathology), clinical trial reports (ICH-E3), and patient progress notes (SOAP/H&P). It mandates adherence to strict regulatory standards (HIPAA, FDA, ICH-GCP) and integrates AI-generated scientific schematics to ensure the final output is accurate, compliant, and publication-ready.

This skill generates highly focused, evidence-based medical treatment plans in LaTeX/PDF format, suitable for all clinical specialties. It emphasizes brevity (3-4 pages), regulatory compliance (HIPAA), and actionable steps. Ideal for managing chronic diseases, physical rehabilitation, and mental health care, ensuring structured care pathways and incorporating AI-generated scientific schematics for visual clarity.

This skill performs comprehensive regulatory gap analysis across major compliance frameworks, including GDPR, CCPA, ADA, PCI-DSS, and CAN-SPAM. It analyzes live websites and codebases to produce a detailed compliance scorecard, identifies specific non-compliant gaps, and generates a prioritized remediation roadmap with effort estimates. Essential for businesses ensuring legal adherence across multiple global jurisdictions.

This skill guides the secure handling and lifecycle management of large-scale data artifacts, including training datasets, model weights, and checkpoint snapshots, within GPU cloud environments. It provides best practices for data pipelines, covering secure import via Kubernetes PVCs, compliant export, and stringent data validation, ensuring adherence to encryption standards (AES-256) and regulatory requirements (PII masking, RBAC).

A comprehensive checklist to guide businesses through year-end financial closing, tax preparation, and compliance filing. It verifies the synchronization of data from banking, payroll, and expense platforms, ensuring all integrations are active, records are reconciled, and regulatory requirements are met to prevent missed deadlines or audit risks.

Manages data privacy compliance for HubSpot CRM, addressing global regulations like GDPR and CCPA. This tool facilitates Data Subject Access Requests (DSAR) by performing complete data exports, executing GDPR-compliant contact deletions, and implementing PII redaction for secure logging and reporting. Essential for maintaining regulatory compliance and data integrity.

This skill provides comprehensive guidance on implementing robust data governance and security guardrails within Snowflake. It covers advanced features such as network rules, mandatory authentication policies (MFA, Key Pair), session timeouts, and statement-level controls. Use this when enforcing strict security policies, achieving regulatory compliance, or structuring robust data access controls for a Snowflake environment.

This skill performs a proactive, comprehensive audit to quantify the business and regulatory impact of a potential data breach before it occurs. It inventories sensitive data (PII, PHI, PCI-DSS), traces complex data flows through the codebase, identifies all exposure vectors, and calculates the 'blast radius.' The output provides law-sourced figures (e.g., GDPR, CCPA, HIPAA fine maximums) alongside heuristic risk estimates, guiding proactive hardening roadmaps for compliance and security.

Methodology for passive Wi-Fi reconnaissance: choose compatible adapters, enable monitor mode, set regulatory domains, sweep 2.4/5/6 GHz bands, identify hidden SSIDs, clients, vendors, and encryption before active wireless attacks.

This rigorous review simulates an interrogation by a Chief AI Officer (CAIO). It pressure-tests any AI plan across six critical dimensions: evaluation metrics, failure mode handling (SLOs), international regulatory compliance (e.g., EU AI Act), technical architecture (API vs. fine-tuning), cost economics, and necessary team roles. Use this when ensuring AI features are robust, safe, and commercially sound before launch or major investment.

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

A risk-paranoid, mandatory review process designed to interrogate any plan that touches sensitive customer data, regulatory compliance, or production access. It forces consideration of critical security pillars including STRIDE threat modeling, blast radius quantification, detection mechanisms (MTTD), incident response runbooks, regulatory notification windows, and third-party vendor security posture. Essential before deploying features handling PII, PHI, or before compliance audits (SOC 2, HIPAA, GDPR).