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Eu Ai Act Specialist

EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system — prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems,…

goai
By alirezarezvani
17k2.4kUpdated 3 days agoPythonMIT

Skill Content

# EU AI Act Compliance Specialist

Article-cited operational skill for Regulation (EU) 2024/1689. **Three decisions, no executive AI strategy:**

1. **What tier is this AI system?** — prohibited (Article 5) / high-risk (Article 6 + Annex III) / limited-risk transparency (Article 50) / minimal-risk
2. **For high-risk systems, what's the conformity assessment route + documentation pack?** — Article 43 Module A vs Module H + Annex IV technical documentation
3. **Per organizational role, what are the obligations?** — provider / deployer / importer / distributor / authorized representative matrix per Article 16, 22, 25, 26

This skill is **NOT chief-ai-officer-advisor**. CAIO decides whether to ship the AI feature at all and accepts business risk. This skill operates the conformity work that turns "we'll ship it" into Article-compliant artefacts.

This skill is **NOT a legal substitute**. The Act is binding regulation. For novel cases (Is this a GPAI model? Does Article 6(2) carve-out apply? Is fine-tuning a foundation model "substantial modification"?), engage qualified outside counsel. The skill cites Articles + Annexes and uses Commission/EDPB published interpretation but does not provide binding legal opinion.

This skill is **NOT GDPR**. Many AI systems also trigger GDPR (training data, output processing). See `ra-qm-team/skills/gdpr-dsgvo-expert/` for DPIA + lawful basis work. The Acts interact (Recital 10, Article 10 for high-risk training data).

## Keywords

EU AI Act, EU AI Regulation, Regulation 2024/1689, AI Act, AI regulation Europe, high-risk AI, prohibited AI, Article 5 AI Act, Article 6 AI Act, Article 9 AI Act, Article 50 AI Act, Annex III, Annex IV, conformity assessment, CE marking AI, notified body AI, Module A, Module H, technical documentation AI, post-market monitoring AI, fundamental rights impact assessment, FRIA, GPAI, general-purpose AI model, systemic risk GPAI, AI Office, ENISA AI, EDPB AI, AI Act timeline, AI Act penalties, EU AI Act provider, EU AI Act deployer, EU AI Act importer, EU AI Act distributor, EU AI Act fines, AI literacy

## Quick Start

```bash
# Decision A: Classify an AI system per the Act
python scripts/ai_system_risk_classifier.py                       # embedded 5-system sample
python scripts/ai_system_risk_classifier.py path/to/systems.json

# Decision B: Conformity assessment plan for a high-risk system
python scripts/conformity_assessment_planner.py                   # embedded high-risk sample
python scripts/conformity_assessment_planner.py path/to/system.json

# Decision C: Obligation tracker per organizational role
python scripts/ai_act_obligation_tracker.py                       # embedded sample (provider + deployer)
python scripts/ai_act_obligation_tracker.py path/to/roles.json
```

## Key Questions (ask these first)

- **Does this AI system fall under Article 5 (prohibited practices)?** Social scoring, emotion recognition in workplace/education, manipulative subliminal techniques, real-time remote biometric identification in public — any of these are flat-out prohibited.
- **Does it fall under Annex III (high-risk categories)?** 8 categories: biometrics, critical infrastructure, education, employment, essential services, law enforcement, migration, justice. Triggering Annex III triggers Article 6(2) — unless the Article 6(3) carve-outs apply.
- **What organizational role does the company play?** Provider (placed on market), deployer (uses under own authority), importer (places third-country system on EU market), distributor (makes available in supply chain). Many companies are BOTH provider AND deployer simultaneously.
- **Is this a general-purpose AI model?** GPAI has its own track (Articles 51–55) with stricter rules above 10²⁵ FLOPs training compute (Article 51 systemic risk).
- **For high-risk: have we run Article 9 risk management AND Article 27 FRIA?** Article 9 is the lifecycle risk management; Article 27 is the Fundamental Rights Impact Assessment for public-sector deployers + essential services.
- **What's the conformity assessment Module per Article 43?** Module A (internal control, possible for most Annex III systems) vs Module H (full QMS + notified body, required for biometrics + sometimes others).

## Core Responsibilities

### 1. AI System Risk Classification

**The framework:** The Act takes a risk-based approach (Recital 26). Each AI system falls into exactly one of four tiers:

| Tier | Source | Examples | Obligations |
|---|---|---|---|
| **Prohibited** | Article 5 | Social scoring; emotion recognition in workplace/education; subliminal manipulation; real-time public biometrics by law enforcement (with narrow exceptions) | Cannot be placed on market or used (penalties up to EUR 35M / 7% turnover) |
| **High-risk** | Article 6 + Annex III; Article 6(1) + Annex I | CV-screening, credit scoring, biometric categorisation, safety components of regulated products | Articles 8–17 (provider) + Article 26 (deployer); conformity assessment; CE marking |
| **Limited-risk (transparency)** | Article 50 | Chatbots, deepfakes, emotion recognition outside Article 5 contexts | Transparency disclosures to natural persons |
| **Minimal-risk** | Default | Spam filters, video-game AI, inventory forecasters | None under the Act (voluntary codes of conduct, Article 95) |

**Critical carve-outs (Article 6(3)):** an Annex III system is NOT high-risk if it (a) performs a narrow procedural task, (b) improves the result of previously completed human activity, (c) detects decision-making patterns without replacing human assessment, (d) performs a preparatory task. Caveat: profiling of natural persons is always Annex III high-risk regardless of carve-outs.

**Run** `ai_system_risk_classifier.py` with system characteristics. The tool checks Article 5 prohibitions first, then Annex III categories, then Article 6(3) carve-outs, then Article 50 transparency, then minimal-risk default.

See `references/eu_ai_act_titles.md` for the full Article-by-Article walkthrough.

### 2. Conformity Assessment + Annex IV Technical Documentation

**The framework (Article 43 + Annex VI/VII):** for high-risk AI systems, the provider must demonstrate conformity before placing on market. Two routes:

- **Module A — Internal control** (Annex VI): provider self-assesses against the requirements. Applies to most Annex III systems where the provider has implemented harmonised standards.
- **Module H — Full quality management system + technical documentation** (Annex VII): notified body involvement. Required for biometrics systems (Article 43(1)).

**Required artifacts per Annex IV — Technical Documentation:**

1. General description of the AI system (intended purpose, identification, version)
2. Detailed description of system elements (architecture, training data, validation procedures)
3. Information about monitoring, functioning and control
4. Description of risk management system (Article 9)
5. Description of changes after placing on market
6. List of harmonised standards applied (or alternative)
7. EU declaration of conformity (Article 47)
8. Description of the post-market monitoring system (Article 72)

**Run** `conformity_assessment_planner.py` to select the Module and produce the Annex IV checklist for a given high-risk system.

See `references/high_risk_systems_annex_iii.md` for which systems require which conformity route.

### 3. Per-Role Obligation Tracker

**The framework (Articles 16, 22, 23, 24, 25, 26):** the Act distinguishes provider obligations (most) from downstream-actor obligations (deployer, importer, distributor, authorized representative). A single company can play multiple roles simultaneously.

| Role | Primary Articles | Key obligations |
|---|---|---|
| **Provider** (Article 3(3)) | 8–17, 47, 49, 72 | Conformity assessment; CE marking; risk management; data governance; technical documentation; post-market monitoring; serious incident reporting (Article 73) |
| **Deployer** (Article 3(4)) | 26 | Use according to instructions; human oversight; input data quality; record-keeping (Article 19); inform workers (Article 26(7)); FRIA if public-sector/essential-services (Article 27) |
| **Importer** (Article 3(6)) | 23 | Verify conformity; affixed CE marking; technical documentation availability |
| **Distributor** (Article 3(7)) | 24 | Verify CE marking + documentation before making available |
| **Authorized representative** (Article 22) | 22 | Non-EU providers must appoint one; representative liable for provider obligations |

**Important:** under Article 25, a deployer who substantially modifies a high-risk AI system, or places it on the market under their own name, becomes a **provider** and inherits provider obligations.

**Run** `ai_act_obligation_tracker.py` with the roles JSON to produce a deadline-sorted obligation matrix.

See `references/gpai_obligations.md` for the separate GPAI Articles 51–55 track.

## Workflows

### Workflow 1: AI System Intake Review (per system, ~2 hours)
**Goal:** classify, identify obligations, scope the conformity work.

```bash
# 1. Document system characteristics: purpose, users, data, autonomy, deployment context
# 2. Run classifier
python scripts/ai_system_risk_classifier.py systems.json
# 3. If high-risk: run planner
python scripts/conformity_assessment_planner.py system.json
# 4. Identify org roles played (provider / deployer / both)
python scripts/ai_act_obligation_tracker.py roles.json
# 5. Cross-check with GDPR DPIA (gdpr-dsgvo-expert) if personal data
# 6. Cross-check with ISO 42001 AIMS evidence (compliance-team-iso42001)
# 7. Output: classification memo + conformity plan + obligation list
```

### Workflow 2: Annex IV Technical Documentation Build (per high-risk system, 2–4 weeks)
**Goal:** assemble the Annex IV pack before conformity assessment.

```bash
# 1. Run conformity assessment planner to get the checklist
python scripts/conformity_assessment_planner.py system.json
# 2. Assemble: system description, architecture, training data, validation, risk management
# 3. Reference ISO 42001 evidence where it satisfies Annex IV items
# 4. Reference ISO 27001 evidence for security controls
# 5. Run Article 9 risk management lifecycle
# 6. Sign EU declaration of conformity (Article 47) AFTER assessment passes
# 7. Affix CE marking (Article 48)
# 8. Register in EU database (Article 71) — high-risk Annex III systems
```

### Workflow 3: Pre-Deployment Obligation Audit (per system, before launch)
**Goal:** confirm all active obligations are in place before EU placement.

```bash
# 1. Confirm classification still correct (re-run classifier if system changed)
# 2. Confirm conformity assessment completed (if high-risk)
# 3. Confirm transparency requirements (Article 50) — for chatbots, deepfakes, emotion detection
# 4. Confirm post-market monitoring system (Article 72) is live
# 5. Confirm serious-incident reporting procedure (Article 73) is documented
# 6. For deployers: FRIA done (Article 27, if applicable); workers informed (Article 26(7))
# 7. For GPAI: Articles 51-55 obligations met if applicable
```

### Workflow 4: Annual Compliance Refresh (per organization, yearly)
**Goal:** re-verify classifications + obligations as the Act phases in.

1. List all AI systems on or planned for EU market
2. Run classifier for each — Article 5 prohibited list may expand via delegated acts
3. Run obligation tracker — deadlines shift as Title III phases in (2025 → 2026 → 2027)
4. For each high-risk system: verify post-market monitoring data flow + serious incident reporting capacity
5. Update Annex IV technical documentation per Article 11 ongoing requirement
6. Pair with ISO 42001 management review (Clause 9.3) if both operate

## Output Standards

```
**Bottom Line:** [one sentence — classification + most-significant obligation]
**Article Citation:** [Article + paragraph number; do not paraphrase without cite]
**The Decision:** [one of: classify | conformity-route | obligation-scope]
**The Evidence:** [Article + Annex references; classification confidence]
**How to Act:** [3 concrete next steps with owner + deadline aligned to phasing]
**Your Decision:** [the call for compliance officer or legal counsel — risk-class disputes, novel cases, GPAI threshold determinations]
```

## Adjacent Skills

- `../../skills/gdpr-dsgvo-expert/` — GDPR DPIA + lawful basis (most AI systems also trigger GDPR)
- `../../../compliance-team-iso42001/` — ISO 42001 AIMS (voluntary management system that satisfies parts of Article 17 QMS for providers)
- `../../skills/information-security-manager-iso27001/` — ISO 27001 for cybersecurity requirements (Article 15)
- `../../skills/risk-management-specialist/` — ISO 14971 risk management (referenced for safety-component AI under Article 6(1))
- `../../skills/mdr-745-specialist/` — MDR 2017/745 (medical-device AI overlap)
- `../../../../compliance-os/` — Meta-orchestrator for multi-framework programs
- `../../../../c-level-advisor/chief-ai-officer-advisor/` — Executive AI strategy

## References

- [eu_ai_act_titles.md](references/eu_ai_act_titles.md) — Titles I–XII Article-by-Article walkthrough with deployer/provider/importer/distributor obligation breakdown
- [high_risk_systems_annex_iii.md](references/high_risk_systems_annex_iii.md) — Annex III 8 categories detailed + Article 6(2)–(3) interaction + carve-out test
- [gpai_obligations.md](references/gpai_obligations.md) — Articles 51–55 GPAI track + systemic-risk threshold + transparency rules + Code of Practice status
- [cross_framework_mapping_ai_act.md](references/cross_framework_mapping_ai_act.md) — AI Act ↔ ISO 42001 ↔ NIST AI RMF ↔ GDPR control-level mapping

---

**Version:** 1.0.0
**Status:** Production Ready

How to use

  1. Copy the skill content above
  2. Create a .claude/skills directory in your project
  3. Save as .claude/skills/claude-skills-eu-ai-act-specialist.md
  4. Use /claude-skills-eu-ai-act-specialist in Claude Code to invoke this skill

Claude Code Skills & Plugins — Agent Skills for Every Coding Tool

338 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools.

The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing (incl. AEO — Answer Engine Optimization for LLM citation), security (PreToolUse hooks), compliance, C-level advisory (incl. founder-mode CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE personas + 21 /cs:* slash commands), productivity (capture/email/reflect), an academic research stack (litreview/grants/dossier/patent/syllabus/pulse/notebooklm + hybrid router), and enterprise Research Operations (clinical-research/research-finance/market-research/product-research, v2.9.0).

Works with: Claude Code · OpenAI Codex · Gemini CLI · OpenClaw · Hermes Agent1 · Mistral Vibe2 · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity

License: MIT Skills Agents Personas Commands Stars SkillCheck Validated

5,200+ GitHub stars — the most comprehensive open-source Claude Code skills & agent plugins library.


What Are Claude Code Skills & Agent Plugins?

Claude Code skills (also called agent skills or coding agent plugins) are modular instruction packages that give AI coding agents domain expertise they don't have out of the box. Each skill includes:

  • SKILL.md — structured instructions, workflows, and decision frameworks
  • Python tools — 533 CLI scripts (all stdlib-only, zero pip installs)
  • Reference docs — 676 templates, checklists, and domain-specific knowledge files

One repo, thirteen platforms. Works natively as Claude Code plugins, Codex agent skills, Gemini CLI skills, Hermes Agent skills, Mistral Vibe skills, and converts to more tools via scripts/convert.sh. All 533 Python tools run anywhere Python runs.

Skills vs Agents vs Personas

SkillsAgentsPersonas
PurposeHow to execute a taskWhat task to doWho is thinking
ScopeSingle domainSingle domainCross-domain
VoiceNeutralProfessionalPersonality-driven
Example"Follow these steps for SEO""Run a security audit""Think like a startup CTO"

All three work together. See Orchestration for how to combine them.


Quick Install

Gemini CLI (New)

# Clone the repository
git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills

# Run the setup script
./scripts/gemini-install.sh

# Start using skills
> activate_skill(name="senior-architect")

Claude Code (Recommended)

# Add the marketplace
/plugin marketplace add alirezarezvani/claude-skills

# Install by domain
/plugin install engineering-skills@claude-code-skills          # 24 core engineering
/plugin install engineering-advanced-skills@claude-code-skills  # 25 POWERFUL-tier
/plugin install product-skills@claude-code-skills               # 12 product skills
/plugin install marketing-skills@claude-code-skills             # 43 marketing skills
/plugin install ra-qm-skills@claude-code-skills                 # 12 regulatory/quality
/plugin install pm-skills@claude-code-skills                    # 6 project management
/plugin install c-level-skills@claude-code-skills               # 28 C-level advisory (full C-suite)
/plugin install business-growth-skills@claude-code-skills       # 4 business & growth
/plugin install finance-skills@claude-code-skills               # 2 finance (analyst + SaaS metrics)

# Or install individual skills
/plugin install skill-security-auditor@claude-code-skills       # Security scanner
/plugin install playwright-pro@claude-code-skills                  # Playwright testing toolkit
/plugin install self-improving-agent@claude-code-skills         # Auto-memory curation
/plugin install content-creator@claude-code-skills              # Single skill

OpenAI Codex

npx agent-skills-cli add alirezarezvani/claude-skills --agent codex
# Or: git clone + ./scripts/codex-install.sh

OpenClaw

bash <(curl -s https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/scripts/openclaw-install.sh)

Manual Installation

git clone https://github.com/alirezarezvani/claude-skills.git
# Copy any skill folder to ~/.claude/skills/ (Claude Code) or ~/.codex/skills/ (Codex)

Multi-Tool Support (New)

Convert all 338 skills to 9 AI coding tools with a single script:

ToolFormatInstall
Cursor.mdc rules./scripts/install.sh --tool cursor --target .
AiderCONVENTIONS.md./scripts/install.sh --tool aider --target .
Kilo Code.kilocode/rules/./scripts/install.sh --tool kilocode --target .
Windsurf.windsurf/skills/./scripts/install.sh --tool windsurf --target .
OpenCode.opencode/skills/./scripts/install.sh --tool opencode --target .
Augment.augment/rules/./scripts/install.sh --tool augment --target .
Antigravity~/.gemini/antigravity/skills/./scripts/install.sh --tool antigravity
Hermes Agent~/.hermes/skills/python scripts/sync-hermes-skills.py --verbose
Mistral Vibe~/.vibe/skills/./scripts/vibe-install.sh

How it works:

# 1. Convert all skills to all tools (takes ~15 seconds)
./scripts/convert.sh --tool all

# 2. Install into your project (with confirmation)
./scripts/install.sh --tool cursor --target /path/to/project

# Or use --force to skip confirmation:
./scripts/install.sh --tool aider --target . --force

# 3. Verify
find .cursor/rules -name "*.mdc" | wc -l  # Should show 338

Each tool gets:

  • ✅ All 338 skills converted to native format
  • ✅ Per-tool README with install/verify/update steps
  • ✅ Support for scripts, references, templates where applicable
  • ✅ Zero manual conversion work

Run ./scripts/convert.sh --tool all to generate tool-specific outputs locally.


Skills Overview

338 skills across 16 domains:

DomainSkillsHighlightsDetails
🔧 Engineering — Core51Architecture, frontend, backend, fullstack, QA, DevOps, SecOps, AI/ML, data, Playwright Pro (test gen, flaky fix, migrations), self-improving agent (auto-memory curation), security suite, a11y auditengineering-team/
⚡ Engineering — POWERFUL78Agent designer, RAG architect, database designer, CI/CD builder, security auditor, MCP builder, AgentHub, Helm charts, Terraform, self-eval, llm-wiki, tc-tracker, autoresearch-agent, reliability portfolio (feature-flags-architect, kubernetes-operator, chaos-engineering, slo-architect), ship-gate, security-guidance PreToolUse hook, Matt Pocock skills (write-a-skill, caveman, grill-me, handoff, grill-with-docs)engineering/
🎯 Product17Product manager, agile PO, strategist, UX researcher, UI design, landing pages, SaaS scaffolder, analytics, experiment designer, discovery, roadmap communicator, code-to-prd, apple-hig-expertproduct-team/
📣 Marketing468 pods: Content, SEO + AEO (aeo — E-E-A-T audit, citation tracking across 5 LLMs), CRO, Channels, Growth, Intelligence, Sales + context foundation + orchestration routermarketing-skill/
🚀 Productivity6capture (brain-dump-to-action), email pair (inbox-setup + inbox-triage), reflect (journal), handoff (Matt Pocock-inspired), andreessen (market-first decision mode)productivity/
🎨 Marketing (top-level)1landing — single-file HTML landing-page generator (4 design styles, GSAP patterns, brand palette validator)marketing/
🔬 Research (academic)8research orchestrator (hybrid router + fallback) + 7 specialists: pulse, litreview, grants (NIH), dossier, patent, syllabus, notebooklmresearch/
🧪 Research Operations ✨v2.9.05Enterprise/cross-functional research: orchestrator + clinical-research (study design), research-finance (R&D program finance), market-research (sizing/survey/segmentation), product-research (user research) — each with onboarding + customization + opt-in autoresearch bridgeresearch-ops/
📋 Project Management9Senior PM, scrum master, Jira, Confluence, Atlassian admin, templates + bundled Atlassian Remote MCPproject-management/
🏥 Regulatory & QM18ISO 13485, MDR 2017/745, FDA, ISO 27001, GDPR, SOC 2, CAPA, risk managementra-qm-team/
🛡️ Compliance OS9Compliance operating system — controls, evidence, audit-readiness workflowscompliance-os/
💼 C-Level Advisory66Full C-suite (CEO/CTO/CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE) + founder-mode agents + orchestration + board meetings + culture & collaborationc-level-advisor/
📈 Business & Growth5Customer success, sales engineer, revenue ops, contracts & proposals, BizDev toolkitbusiness-growth/
🏭 Business Operations7Orchestrator + process-mapper, vendor-management, capacity-planner, internal-comms, knowledge-ops, procurement-optimizerbusiness-operations/
🤝 Commercial8Orchestrator + pricing-strategist, deal-desk, partnerships-architect, channel-economics, commercial-policy, rfp-responder, commercial-forecastercommercial/
💰 Finance4Financial analyst (DCF, budgeting, forecasting), SaaS metrics coach, business investment advisorfinance/

Personas

Pre-configured agent identities with curated skill loadouts, workflows, and distinct communication styles. Personas go beyond "use these skills" — they define how an agent thinks, prioritizes, and communicates.

PersonaDomainBest For
Startup CTOEngineering + StrategyArchitecture decisions, tech stack selection, team building, technical due diligence
Growth MarketerMarketing + GrowthContent-led growth, launch strategy, channel optimization, bootstrapped marketing
Solo FounderCross-domainOne-person s

Footnotes

  1. Hermes Agent is BYO-sync tier: the repo ships a pre-generated .hermes/skills/claude-skills/ tree, but you run python scripts/sync-hermes-skills.py once locally to install into ~/.hermes/skills/. Uses the same agentskills.io SKILL.md standard — no format conversion.

  2. Mistral Vibe is also BYO-sync tier: the repo ships a pre-generated .vibe/skills/claude-skills/ tree, run ./scripts/vibe-install.sh once locally to install into ~/.vibe/skills/. Same agentskills.io SKILL.md standard — no format conversion. Docs: https://docs.mistral.ai/mistral-vibe/agents-skills.

View source on GitHub