Skill UI

A four-tier memory store for AI assistants that promotes recurring facts from transcripts to project context and persona via deterministic recurrence gates, avoiding CLAUDE.md bloat and repeated corrections. Suitable for projects where agents need durable memory that is only committed after human adoption.

A skill that models AI educator Baoyu's approach to creating accessible AI content, systematic prompt engineering teaching (Level 1-10), tool reviews, open-source sharing, and daily knowledge updates. Ideal for writing tutorials, translating tech articles, and building AI knowledge bases without hype or anxiety.

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.

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.

Provides a deep, structured assessment of whether an AI system meets the criteria for 'high-risk' classification under Article 6 of the EU AI Act. Grounded in the Commission's draft guidelines (Annex I & III), this tool guides users through complex compliance checks, including product safety routes and quasi-provider traps. Essential for making consequential risk verdicts and ensuring legal compliance.

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.

An expert assistant dedicated to ensuring compliance with GDPR and global data protection regulations. This skill covers auditing code and systems for violations, drafting compliant legal documents (like privacy policies and DPAs), answering complex compliance questions with authoritative GDPR article citations, and reviewing data flows for PII handling practices. It addresses both EU and UK GDPR requirements.

This skill provides a structured workflow to assess compliance with the EU General-Purpose AI (GPAI) Code of Practice and the underlying AI Act (Articles 51-56). It guides users to determine if their model is a GPAI provider, whether open-source exemptions apply, and if systemic risk is present. The assessment details complex obligations across transparency, copyright, and safety requirements for both Tier 1 and Tier 2 compliance.

A sophisticated framework designed to simulate complex legal interactions across various domains, including tenancy law, business contracts, startup disputes, and employment claims. This tool is ideal for demonstrating AI-powered legal triage systems, training personnel on responsible AI use, or creating realistic proof-of-concepts for legal technology presentations. Note: This skill is strictly for educational and demonstration purposes and does not provide legal advice.

An advanced, AI-assisted tool for generating high-quality multiple-choice questions (MCQs) suitable for various academic levels. It supports both light, gamified quizzes and deep, evaluative assessments with detailed feedback. The system ensures factual accuracy through rigorous document research and allows export to major platforms like Moodle, Kahoot!, and Wooclap.

This framework moves beyond simple storage solutions (like vector databases) to treat memory as a complex metabolic system. It provides tools and methodologies to audit, price, and govern an agent's memory, focusing especially on the forgetting policy. Key functions include cost profiling (construction vs. query energy), classifying stored records (fact/skill/log), and ensuring a mandatory forgetting policy to prevent state bloat and maintain performance.

A comprehensive utility for managing the global configuration of the Ouroboros system. This tool allows users to adjust per-stage runtime parameters, select global models, configure the LLM backend, and manage agent definitions. It supports multiple interaction modes, including graphical user interfaces (browser/TUI), remote SSH environments, and conversational chat interfaces, ensuring consistent setup regardless of the deployment context. Ideal for optimizing complex AI agent workflows.