Skill UI

This expert tool automates compliance checks for EU GDPR and German DSGVO. It scans codebases for privacy risks (PII, special data), generates formal Data Protection Impact Assessments (DPIA), and manages the entire lifecycle of Data Subject Access Requests (DSARs), ensuring adherence to strict legal deadlines. Ideal for privacy audits and compliance planning.

High-performance Rust-backed tokenization toolkit with Python bindings, offering BPE/WordPiece/Unigram, custom vocabulary training, alignment tracking, and production-ready integrations for NLP pipelines.

This skill automates the complex and tedious process of porting academic papers written in LaTeX from one publisher's journal template (e.g., Springer) to another (e.g., MDPI, IEEE). It executes a structured multi-stage workflow, including content extraction, structural mapping, systematic fixing of common LaTeX issues (like float placement and math environments), and final compilation to ensure the output adheres to the target journal's specifications.

A comprehensive guide to implementing technical and organizational measures required by the General Data Protection Regulation (GDPR). This skill covers full lifecycle data protection, including Data Protection by Design, Data Protection Impact Assessments (DPIAs), managing data subject rights (e.g., right to erasure, portability), encryption, pseudonymization, and ensuring cross-border data transfer compliance.

This guide details the process of deploying and configuring Tofino industrial firewalls for critical OT/ICS environments. It provides architectural blueprints and Python-based rule generators to implement deep packet inspection (DPI) for key industrial protocols like Modbus, EtherNet/IP, and S7comm. This ensures granular, protocol-aware access control and robust zone segmentation for safeguarding SCADA and PLCs.

This skill automates the generation of high-quality, publication-ready figures and comparison tables from raw experimental data (CSV, JSON, etc.). It supports various plot types, including line plots, bar charts, scatter plots, heatmaps, and box plots, ensuring consistent style (DPI 300, PDF format) suitable for academic submissions. Users provide a figure plan and raw data, and the system generates the necessary code to visualize results.

Assistant for venture fund administrators: ingests capital calls, investments, and cash flows to compute KPIs (TVPI, DPI, IRR, MOIC), model carry/fees, and draft LP quarterly updates via Claude Code + Python.

This tool automates the entire Privacy Impact Assessment (PIA) workflow. It systematically maps data flows, calculates privacy risk scores using established matrices (NIST PRAM, ICO DPIA), and checks compliance against major regulations like GDPR and CCPA/CPRA. It is essential for organizations launching new systems or preparing for regulatory audits to ensure data privacy compliance.

This skill simulates a Data Protection Officer (DPO) audit, pressure-testing privacy compliance across six critical, Article-cited GDPR areas. It is essential for pre-annual audits, post-breach assessments, DPA investigations, and M&A due diligence, ensuring readiness across RoPA, lawful basis, DPIA, DSAR, and international data transfers.