Skill UI

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Coordinates a pre-task intelligence protocol that activates all relevant agents, synthesizes parallel analyses, estimates real execution time, maps probable risks, and produces a contingency-aware plan before executing the user’s request.

This tool automates the end-to-end workflow for GDPR Data Subject Access Requests (DSAR). It handles identity verification, discovers PII across structured and unstructured data sources using NER and regex, maps data to Article 15 requirements, and generates auditable compliance reports, ensuring adherence to ICO/EDPB guidelines and scaling compliance efforts.

This skill provides real-time monocular depth estimation using advanced models like Depth Anything v2. It transforms live camera feeds by generating colorized depth maps, enabling depth overlays and detailed scene understanding. Crucially, it supports a 'privacy mode' that anonymizes visual identities by using depth-only transformation, preserving only the spatial layout and movement patterns for secure monitoring purposes. Optimized for both CoreML on macOS and PyTorch on other platforms.

This skill provides the OWASP Top 10 for Agentic Applications 2026 (ASI) framework for classifying security risks in AI agent systems. It maps detection findings to standardized risk categories like goal hijacking, tool misuse, and identity abuse, enabling consistent security assessment and remediation prioritization for agentic workflows.

This powerful compiler ingests heterogeneous research inputs, including PDF papers, code repositories, experiment logs, and raw notes. It transforms this diverse data into a comprehensive, structured Agent-Native Research Artifact (ARA). The system extracts core knowledge atoms, builds cognitive maps (claims, concepts, heuristics), and generates a verifiable, executable knowledge package for advanced AI consumption and research iteration.

A comprehensive project management skill designed for authors preparing papers for the EACL conference. It maps out the entire single-cycle submission process, covering backward planning from the ARR deadline, rebuttal strategies, commitment decisions, and final camera-ready stages. Essential for navigating highly structured academic publication timelines and minimizing risk.

This skill extracts crucial Social Determinants of Health (SDOH) — such as housing instability, food insecurity, and transportation barriers — from unstructured clinical notes. It maps the identified text spans to standardized ICD-10-CM Z-codes (Z55–Z65). It is essential for health-equity analytics, building risk stratification tools, and identifying coding gaps by converting narrative text into queryable, discrete data points.

Classifies AI systems under the EU AI Act: risk tiers, prohibited practices, high-risk and GPAI obligations, transparency, conformity/CE marking, governance, penalties, and Digital Omnibus timeline. Also maps to ISO 42001, NIST AI RMF, and GDPR. Use for any EU AI regulatory question.

This skill helps classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) to determine compliance obligations. It guides users through the decision tree from prohibited practices to high-risk categories, GPAI models, and role-specific responsibilities. Useful for assessing risk levels, mapping provider/deployer duties, and building compliance roadmaps. Includes DACH-specific regulatory considerations.

This skill maps the full set of legal obligations under the EU AI Act (Regulation (EU) 2024/1689). It provides a detailed, actionable compliance matrix based on the user's specific organizational role (Provider, Deployer, etc.) and the assessed risk tier of the AI system. It includes RACI assignments and implementation priorities, helping users create a comprehensive compliance checklist.