Skill UI

This detailed guide helps researchers determine the optimal top-tier venue (e.g., USENIX Security, IEEE S&P, ACM CCS) for their security research paper. It emphasizes that venue selection must be based on the committee's core expertise and the existence of reusable artifacts, measurements, or systems evidence, ensuring the work has the necessary technical depth to succeed.

This skill converts unstructured documents (PDF, EPUB, DOCX, etc.) into actionable, structured agent skills. Instead of providing simple summaries, it deep-dives to extract core frameworks, mental models, key principles, techniques, and anti-patterns from educational material. Use this when you need to transform academic knowledge into a reusable, machine-readable toolkit for agents like Copilot CLI, Amp, or Claude Code.

This skill facilitates reversible de-identification (pseudonymization) of clinical text, allowing sensitive Protected Health Information (PHI) to be masked for processing while retaining the ability to restore the original data later under strict authorization. It captures a mapping key and provides a function to re-identify the text, crucial for workflows like GDPR compliance, patient recontact, or auditing. Crucially, the re-identification mapping must be stored separately and securely.

Authoritative question-answering engine for the EU Artificial Intelligence Act (Regulation 2024/1689), grounded in 70 official EU source documents. Provides article-level citations, explains concepts, obligations, high-risk classification, penalties, timelines, and cross-framework topics like AI Act and GDPR.

Implementation guide for building reusable behavior-tree runtimes (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and Utility AI systems (response curves, considerations, evaluators). Also covers hybrid BT-driven Utility agents for NPC/enemy decision-making beyond simple FSMs.

Engine-neutral game audio practice: routing through buses, gains in dB, sidechain ducking, adaptive music by layering/segment switching, SFX variation, beat-synced events. Use when balancing sound, making music react to gameplay, or reducing repetitive effects. Works with Godot, Unity, FMOD/Wwise.

Analyzes how multiple regulations interact for a product, service, or business model. Identifies overlaps, conflicts, and synergies; builds priority matrices; creates integrated compliance timelines; and estimates total compliance burden across EU digital regulations like GDPR, AI Act, DORA, and more. Use for product launch scoping, M&A due diligence, or strategic compliance planning with multi-regulation exposure.

A specialized legal assistant for the EU Data Act (Regulation (EU) 2023/2854). Supports lawyers in classification, drafting, lookup, analysis, audit, and cloud-service switching scenarios. Cites verbatim from bundled regulation and FAQ sources, provides structured drafting templates, and exports lawyer-style Word documents with a disclaimer footer.

Legal review skill for auditing contracts and privacy documents against India's DPDPA 2023 and EU GDPR. It performs clause-by-clause compliance checks, flags at-risk or non-compliant sections with reasoning, and provides ready-to-use redline drafting suggestions. Useful for privacy policies, data processing agreements, and vendor/SaaS contracts.

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.

Classifies whether a technology qualifies as an AI system under the EU AI Act Art. 3(1) and determines its risk tier: prohibited, high-risk, GPAI with systemic risk, limited, or minimal risk. Guides users through the scope exclusions, AI definition test, and risk classification workflow.