EU AI Act Knowledge Engine — Deployment Guide

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See CHANGELOG.md for version history.

Overview

EU AI Act Knowledge Engine — an authoritative regulatory Q&A skill grounded in 70 official EU source documents:

Article-level citations from the full text of Regulation (EU) 2024/1689
Full preamble + 13 Titles covered by structured reference files (Titles I–XIII)
Commission guidelines on AI system definition, prohibited practices, high-risk classification, and Digital Omnibus
EDPB/EDPS opinions including Opinion 28/2024 (AI-DPIA interplay) and 2026 joint opinion
Codes of Practice — GPAI Code (3 versions), Transparency Code (drafts + overview)
FRIA materials — Art. 27 text, Danish Institute guide, ECNL practical guide
Harmonised standards — Art. 40 framework, prEN 18286, JTC 21 roadmap
Sector-specific guidance for banking, medical devices, staffing, healthcare, law enforcement
National implementation tracking — German AI bill, regulatory sandboxes, national service desks
Incident reporting templates — GPAI serious incident, Art. 73 high-risk draft guidance

File Structure

ai-act-knowledge/
├── SKILL.md                          # Main skill instructions (deploy this)
├── CHANGELOG.md                      # Version history
└── references/                       # 70 reference files across 15 subdirectories
    ├── core/                         # Regulation text by Title (I–XIII) + preamble + Annex III + decision trees
    ├── guidelines/                   # Commission guidelines (AI system definition, prohibited, GPAI, omnibus)
    ├── codes-of-practice/            # GPAI Code + Transparency Code (multiple versions)
    ├── opinions/                     # EDPB/EDPS opinions (2021, 2026, 28/2024)
    ├── standards/                    # Art. 40 harmonised standards, prEN 18286, JTC 21
    ├── fria/                         # Art. 27 FRIA — text + practical guides
    ├── governance/                   # AI Office FAQ, AI Pact, enforcement, timeline
    ├── national/                     # National implementation (DE bill, sandboxes, service desks)
    ├── sector-specific/              # Banking, medical devices, staffing
    ├── cybersecurity/                # ENISA advisories
    ├── law-enforcement/              # Europol AI policing
    ├── compliance-guides/            # AI literacy, SME guide, copyright/TDM, whistleblowing
    ├── impact-assessments/           # Commission IA + supporting study + healthcare 2026
    └── templates/                    # GPAI training data, serious incident, high-risk draft

Deployment

Claude.ai (User Skills)

Go to Settings → Profile → Custom Skills (or equivalent)
Upload the entire ai-act-knowledge/ folder structure
The skill will auto-trigger when you ask about AI Act articles, requirements, penalties, GPAI obligations, FRIA, or any AI Act topic

Claude Code / Custom MCP Setup

Copy the ai-act-knowledge/ folder to your skills directory:

cp -r ai-act-knowledge/ /path/to/your/skills/user/ai-act-knowledge/

Ensure the skill is registered in your configuration

Usage

Quick Start

Ask any AI Act question:

> "What does Art. 27 require for a Fundamental Rights Impact Assessment, and
> when does it apply to deployers of high-risk systems?"

The skill will route to the right reference files and produce a cited answer.

Trigger Phrases

"Explain Art. X" / "What does Article X say?" / "AI Act requirements"
"GPAI obligations" / "High-risk AI" / "Prohibited AI practices"
"AI Act and GDPR" / "Fundamental rights impact assessment" / "AI literacy"
"KI-Verordnung" / "Hochrisiko-KI" / "GPAI-Verhaltenskodex"

> For assessment workflows that produce a classification decision (rather than a
> knowledge answer), ask for a structured risk-tier classification.

Workflow

Step	Description
1. Classify Question	Topic Router determines which reference subdirectory(ies) to consult
2. Load References	Read targeted reference files (article text, guidelines, opinions, codes)
3. Synthesise	Produce answer with article-level citations and cross-references to related provisions

Capabilities Summary

Feature	Description
Article-Level Q&A	Direct answers grounded in the full regulation text (preamble + 13 Titles)
Commission Guidelines	AI system definition, prohibited practices, high-risk, Digital Omnibus
EDPB/EDPS Opinions	2021 joint, 2026 joint, Opinion 28/2024 (AI-DPIA)
Codes of Practice	GPAI Code (3 versions), Transparency Code (drafts + overview)
FRIA Materials	Art. 27 text + Danish Institute and ECNL practical guides
Harmonised Standards	Art. 40 framework, prEN 18286, JTC 21 roadmap
Sector Guidance	Banking, medical devices, staffing, healthcare, law enforcement
National Implementation	German AI bill, regulatory sandboxes, Member State service desks
Incident Templates	GPAI serious incident reporting, Art. 73 high-risk draft
Cross-Framework	AI Act ↔ GDPR, ENISA cybersecurity overlays

Regulatory Basis

Document	Reference
EU AI Act	Regulation (EU) 2024/1689 (full text + recitals)
Commission Guidelines	AI system definition, Art. 5 prohibitions, Art. 6 high-risk, Digital Omnibus
EDPB Opinion 28/2024	DPIA for AI processing
EDPB-EDPS Joint Opinions	2021 and 2026
GPAI Code of Practice	Art. 53/55 implementation framework
Art. 50 Code of Practice	Transparency labeling framework
Art. 40 Harmonised Standards	JTC 21 framework, prEN 18286
ENISA Advisories	AI cybersecurity, standardisation

License & Disclaimer

This skill provides structured AI Act regulatory information based on Regulation (EU) 2024/1689 and official EU institutional sources. It is not legal advice. Specific compliance decisions should involve qualified legal counsel with AI Act expertise.

Licensed under AGPL-3.0.

> Quality assurance: this skill ships with evaluation tests in the evals/ folder, which I run to check its outputs against expected results.

Created by Oliver Schmidt-Prietz — OneZero Legal

EU AI Act Knowledge Base