Iso42001
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
Maps the full set of legal obligations for the EU AI Act based on role + risk tier, producing an actionable compliance matrix with RACI assignments and implementation priorities.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-obligations-oliver-schmidt-prietz --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz .claude/skills/eu-ai-act-obligations-oliver-schmidt-prietz && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "eu-ai-act-obligations-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz into .claude/skills/eu-ai-act-obligations-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-obligations-oliver-schmidt-prietz", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietzType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-obligations-oliver-schmidt-prietz --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz .agents/skills/eu-ai-act-obligations-oliver-schmidt-prietz && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eu-ai-act-obligations-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz into .agents/skills/eu-ai-act-obligations-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-obligations-oliver-schmidt-prietz", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-obligations-oliver-schmidt-prietz --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz .cursor/skills/eu-ai-act-obligations-oliver-schmidt-prietz && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "eu-ai-act-obligations-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz into .cursor/skills/eu-ai-act-obligations-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-obligations-oliver-schmidt-prietz", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lawve-ai/awesome-legal-skills.git --path skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-obligations-oliver-schmidt-prietz --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz .gemini/skills/eu-ai-act-obligations-oliver-schmidt-prietz && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "eu-ai-act-obligations-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz into .gemini/skills/eu-ai-act-obligations-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-obligations-oliver-schmidt-prietz", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-obligations-oliver-schmidt-prietzInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz .github/skills/eu-ai-act-obligations-oliver-schmidt-prietz && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "eu-ai-act-obligations-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz into .github/skills/eu-ai-act-obligations-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-obligations-oliver-schmidt-prietz", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-obligations-oliver-schmidt-prietz --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz .opencode/skills/eu-ai-act-obligations-oliver-schmidt-prietz && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "eu-ai-act-obligations-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz into .opencode/skills/eu-ai-act-obligations-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-obligations-oliver-schmidt-prietz", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
eu-ai-act-obligations-oliver-schmidt-prietzMaps the full set of legal obligations for the EU AI Act based on role + risk tier, producing an actionable compliance matrix with RACI assignments and implementation priorities.
Eu AI Act Obligations Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. Maps the full set of legal obligations for the EU AI Act based on role + risk tier, producing an actionable compliance matrix with RACI assignments and implementation priorities. This skill should be used when the user asks to "map AI Act obligations", "check what we need to do under the AI Act", "create a compliance checklist", "check deployer obligations", "assess provider duties", or mentions Art. 26, Art. 16-17, AI literacy Art. 4, DPIA, fundamental rights assessment, or "Pflichtenkatalog" under the AI Act.
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including reference files (for example `README.md`, `evals.json` and `references/art6-4-documentation.md`).
It sits in Legal & Compliance, covering AI governance. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Eu AI Act Obligations Oliver Schmidt Prietz loads about 4.6k tokens when it runs, and up to ~56k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 1,459 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 1,459 words, ~4,558 tokens.
.claude/skills/eu-ai-act-obligations-oliver-schmidt-prietz/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.Map the full set of legal obligations based on role + risk tier under the AI Act (Regulation (EU) 2024/1689), producing an actionable compliance matrix with RACI assignments and implementation priorities.
Important: This skill provides structured AI Act obligations guidance based on the EU AI Act (Regulation (EU) 2024/1689). It is not legal advice. Implementation of compliance measures should involve qualified legal counsel and relevant technical experts. Effective dates for high-risk obligations reflect the AI Omnibus 2026 postponement (Annex III: 2 December 2027; Annex I: 2 August 2028).
On activation — search for:
EU AI Act harmonized standards EN ISO implementing requirements [current year]
EU AI Act conformity assessment notified bodies guidance [current year]For management systems — search for:
ISO 42001 AI management system alignment EU AI Act [current year]
EU AI Act quality management system requirements guidanceFor national rules — search for:
[user's jurisdiction] AI Act national implementation measures [current year]
[user's jurisdiction] AI Act supervisory authority designationFor conformity assessment — search for:
EU AI Act conformity assessment procedures latest guidance
EU AI Act notified body designations [current year]Step 1 — Context detection (always first):
"Let's map your AI Act obligations."
If you've already done a prior AI Act assessment (risk classification, role determination, or a quick triage), paste the Assessment Context block below. Otherwise, describe your situation in your own words.
Step 2 — Coverage analysis (internal — do not show this table to the user):
Map the context block or narrative to these 6 fields:
| # | Field | Source in context block | Fallback |
|---|---|---|---|
| 1 | Risk classification | "Classification:" line | Ask |
| 2 | Organizational role | "Role:" line | Ask |
| 3 | Organization size | "Org Size:" line | Ask |
| 4 | Sector | "Sector:" line | Ask |
| 5 | Jurisdiction(s) | "Jurisdiction:" line | Ask |
| 6 | Existing frameworks | Not in context block | Always ask |
If the risk tier has not been classified yet → run a risk-tier classification first (AI-system test under Art. 3(1); prohibited / high-risk / GPAI / limited / minimal). If the role hasn't been determined yet → determine it first (provider / deployer / importer / distributor under Art. 3 and Art. 25).
Step 3 — Adaptive follow-up:
Existing compliance status is always asked since it's new information not carried in the context block. Frame conversationally:
"One more thing — which compliance foundations do you already have in place? (Risk management, data quality, QMS, DPIA, incident reporting, AI literacy training, or starting from scratch)"
Maximum 2 interaction turns for intake. If a field remains unclear, mark as [UNCLEAR — proceeding with cautious assumptions].
Based on role + risk tier, load the applicable obligation set.
Read the relevant reference files:
Deployer + High-Risk → Read references/high-risk-deployer-obligations.md Provider + High-Risk → Read references/high-risk-provider-obligations.md Any role + Low-Risk/Minimal → Read references/low-risk-obligations.md Non-high-risk Annex III (Art. 6(3) exception) → Read references/art6-4-documentation.md GPAI provider → Read references/gpai-obligations.md FRIA-triggering deployer → Read references/fria-template.md for Art. 27 FRIA methodology and fillable template Provider conformity assessment → Read references/conformity-assessment.md for Art. 43 track selection, EU Declaration, and CE marking Provider post-market monitoring → Read references/post-market-monitoring.md for Art. 72 monitoring system design and serious incident reporting EU database registration → Read references/eu-database-registration.md for Art. 49 registration process (provider and deployer tracks) All roles → Art. 4 AI competence obligation always applies
Obligation count preview:
"Based on your role as [Role] of a [risk tier] system, you have N obligations across K categories. I'll walk through them in 4 batches."
Batched assessment (4 batches replacing per-obligation questioning):
Present obligations grouped by category. For each batch, show a table with all obligations in that category and ask the user to respond to the entire batch at once:
| Batch | Category | Typical obligations |
|---|---|---|
| 1 | Technical Measures | Use per instructions, monitoring, input data, log retention, data quality |
| 2 | Organizational Measures | Oversight persons, inform affected persons, employee info, AI competence, incident reporting, registration, authority cooperation |
| 3 | Management Systems | Risk management, data quality mgmt, QMS, post-market monitoring |
| 4 | Impact Assessments | DPIA, FRIA |
For each batch, present a table:
Batch [X] of 4: [Category]
# Obligation Legal Basis Priority Status 1 [obligation] [article] [Immediate/Short-term/Ongoing] Already in place / Partially addressed / Not yet addressed "For each obligation, indicate: already in place, partially addressed, or not yet addressed. You can respond with just the numbers (e.g., '1,3 = in place; 2,4 = partial; 5 = not addressed')."
Progress indicator after each batch: "Batch [X] of 4 complete. [N] obligations remaining."
Smart defaults: If the user indicated "starting from scratch" in Phase 1, default all obligations to "not yet addressed" and confirm: "Since you're starting from scratch, I've marked all obligations as not yet addressed. Any exceptions?"
Target: 4-5 interaction turns instead of 20+.
Flag priority levels: critical timeline obligations first (e.g., Art. 26(6) 6-month log retention must be operational from day one).
Read references/gdpr-crosswalk.md.
At relevant obligation points, suggest existing GDPR skills:
| Obligation | Trigger | Suggestion |
|---|---|---|
| Art. 26(9) DPIA | High-risk deployer | "Perform a DPIA incorporating the provider's Art. 13 information about system capabilities and limitations" |
| Art. 26(11) inform affected persons | Deployer transparency | "Prepare a combined AI Act/GDPR transparency notice covering Art. 26(11) and Art. 13/14 GDPR" |
| Art. 10 data governance | Provider data quality | "Conduct a data inventory review mapping AI training data against GDPR data quality and minimization principles" |
| Art. 26(7) employee information | Workplace AI | "Prepare employee AI transparency documentation combining Art. 26(7) and GDPR Art. 13/14 requirements" |
| Art. 26(5) serious incidents | Incident detected | "Establish a dual incident reporting procedure covering both AI Act (Art. 73) and GDPR (Art. 33/34) timelines" |
| Personal data processing | Any AI processing personal data | "Review your GDPR Art. 28 processor agreement to include AI Act cooperation provisions (Art. 25(2))" |
┌─────────────────────────┐
│ ROLE + RISK TIER │
└────────────┬────────────┘
│
┌─────────────────┼──────────────────┐
│ │ │
▼ ▼ ▼
┌─────────┐ ┌──────────────┐ ┌──────────────┐
│ PROVIDER│ │ DEPLOYER │ │ GPAI MODEL │
│ │ │ │ │ PROVIDER │
└────┬────┘ └──────┬───────┘ └──────┬───────┘
│ │ │
▼ ▼ ▼
High-Risk? High-Risk? Systemic Risk?
├─ YES: ├─ YES: ├─ YES:
│ Art. 8-17 │ Art. 26 │ Art. 53 + 55
│ Art. 17 QMS │ Art. 27 FRIA ├─ NO:
│ Art. 9 Risk │ Art. 26(9) DPIA │ Art. 53
│ Art. 43 CA │ Art. 49(3) Reg └────────────
│ Art. 49 Reg └────────────
│ ├─ NO (Art. 50):
├─ NO │ Art. 50 only
│ (Art. 50): ├─ NO (Minimal):
│ Art. 50 │ Art. 4 only
│ +Art. 6(4) └────────────
│ if Annex III
└────────────
ALL ROLES: Art. 4 AI Competence (always applies)For worked obligation mapping examples, see references/case-studies.md.
Group obligations by timeline:
1. IMMEDIATE (before deployment / already overdue if deployed):
2. SHORT-TERM (within 3 months of deployment):
3. ONGOING (continuous):
4. PERIODIC (regular intervals):
Read references/technical-measures.md, references/organizational-measures.md, and references/management-systems.md for detailed requirements.
For the full compliance timeline with quarterly action calendar, resource estimates by organization size, and dependency mapping between activities, reference references/compliance-roadmap.md.
## AI Act Compliance Obligations Matrix
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Role: [Role] | Risk Tier: [Tier] | Basis: [legal basis]
Organization: [name] | Date: [date]
### Technical Measures
| # | Obligation | Legal Basis | Priority | Status | RACI | Effort |
|---|-----------|-------------|----------|--------|------|--------|
| 1 | Use system per operating instructions | Art. 26(1) | Immediate | [ ] | IT=R, Legal=A | Low |
| 2 | Monitor system operation | Art. 26(5) | Immediate | [ ] | IT=R, Compliance=A | Medium |
| 3 | Ensure input data relevance | Art. 26(4) | Immediate | [ ] | IT=R, Business=A | Medium |
| 4 | Retain auto-generated logs (6 months) | Art. 26(6) | Immediate | [ ] | IT=R, Legal=A | Low |
| 5 | Data quality management | Art. 10 | Short-term | [ ] | IT=R, Data=A | High |
### Organizational Measures
| # | Obligation | Legal Basis | Priority | Status | RACI | Effort |
|---|-----------|-------------|----------|--------|------|--------|
| 1 | Assign qualified oversight persons | Art. 26(2) | Immediate | [ ] | HR=R, Legal=A | Medium |
| 2 | Inform affected persons | Art. 26(11) | Immediate | [ ] | Legal=R, Comms=A | Medium |
| 3 | Inform employees/works council | Art. 26(7) | Short-term | [ ] | HR=R, Legal=A | Medium |
| 4 | AI competence training | Art. 4 | Short-term | [ ] | HR=R, Mgmt=A | Medium |
| 5 | Incident reporting procedure | Art. 26(5) s.3 | Immediate | [ ] | Legal=R, IT=C | High |
| 6 | Register use in EU database | Art. 49(3) | Short-term | [ ] | Legal=R | Low |
| 7 | Cooperate with authorities | Art. 26(12) | Ongoing | [ ] | Legal=R, Mgmt=A | Low |
### Management Systems Required
| System | Legal Basis | Scope | Existing? |
|--------|------------|-------|-----------|
| Risk Management | Art. 9 | Continuous lifecycle risk assessment | [ ] |
| Data Quality Mgmt | Art. 10 | Training/validation/test data governance | [ ] |
| Quality Management | Art. 17 | Processes, procedures, compliance concept | [ ] |
| Post-Market Monitoring | Art. 72 | Monitoring throughout lifetime | [ ] |
### Impact Assessments Required
| Assessment | Legal Basis | When | Status |
|-----------|------------|------|--------|
| DPIA | Art. 26(9) + Art. 35 GDPR | Before deployment | [ ] |
| Fundamental Rights Assessment | Art. 27 | Before deployment (public bodies + certain private) | [ ] |
### GDPR Cross-References
| AI Act Obligation | GDPR Parallel | Recommended Action |
|------------------|---------------|----------------|
| Art. 26(9) DPIA | Art. 35 GDPR | Perform DPIA per Art. 35 GDPR incorporating Art. 13 information |
| Art. 26(11) inform persons | Art. 13/14 GDPR | Draft combined AI Act + GDPR transparency notice |
| Art. 10 data governance | Art. 25 GDPR (DPbD) | Conduct data inventory and governance review |
| Art. 26(7) employee info | Art. 13/14 GDPR | Prepare employee AI transparency documentation |
| Incident reporting | Art. 33/34 GDPR | Establish dual AI Act/GDPR incident reporting procedure |
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SUMMARY:
TOTAL: [X] obligations | [Y] immediate | [Z] require legal judgment
Timeline: [X] already compliant | [Y] gaps identified | [Z] not yet assessed
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ASSESSMENT CONTEXT (paste into next skill)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
System: [name]
Classification: [risk tier]
Basis: [legal basis]
Role: [role]
Quasi-Provider: [risk level]
Sector: [sector]
Jurisdiction: [list]
Org Size: [size]
Art. 50: [applicable triggers]
GPAI: [yes/no, systemic risk]
NEXT STEPS:
→ Generate formal assessment documentation (classification rationale + obligation matrix)
→ Address [Y] immediate gaps as priority
→ Establish management systems within [timeline]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━This skill works on its own, but it's designed to interlock with my other EU AI Act skills — install any individually, or use them together for an end-to-end workflow:
Each is available as a separate skill — install only what you need.
© lawve-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 19 other files (references) in skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz of lawve-ai/awesome-legal-skills.
Open the folder on GitHubat commit 045f738
Eu AI Act Obligations Oliver Schmidt Prietz next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Eu AI Act Obligations Oliver Schmidt Prietz this skilllawve-ai/awesome-legal-skills | 847 | — | ~4.6k | Automated safety check: Pass | AGPL-3.0 | |
| Iso42001Sushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| AI Risk Managementbriiirussell/cybersecurity-skills | 413 | — | ~3.7k | Automated safety check: Notes | MIT | |
| EU AI Act System Inventoryanthropics/claude-for-legal | 9.6k | 3 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Eu AI Act Readinessseb1n/awesome-ai-agent-skills | 206 | — | ~3.3k | Automated safety check: Pass | MIT | |
| AI GovernanceHack23/cia | 239 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
briiirussell/cybersecurity-skills
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency…
anthropics/claude-for-legal
Maintains a register of AI systems under the EU AI Act, recording each system's role and risk tier separately, because both can differ from one system to the next.
seb1n/awesome-ai-agent-skills
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…
Hack23/cia
AI governance, EU AI Act compliance, OWASP LLM security, responsible AI practices for GitHub Copilot agents
petrkindlmann/qa-skills
Test for regulatory compliance: GDPR/CMP consent verification, Google Consent Mode v2, Global Privacy Control (GPC), CCPA/US state opt-out, EU AI Act Article 50 transparency, Better Ads Standards…
lawve-ai/awesome-legal-skills
U.S. An agent skill from lawve-ai/awesome-legal-skills.
lawve-ai/awesome-legal-skills
Practitioner skill for advising on EU Regulation 2023/2854 (Data Act).
lawve-ai/awesome-legal-skills
Calendar litigation and arbitration deadlines from a scheduling order.
lawve-ai/awesome-legal-skills
Read, search, and download emails and attachments from Microsoft Outlook via OAuth2.
lawve-ai/awesome-legal-skills
Turn an interpretive-ambiguity audit of a legal text — contract, statute, regulation, or judicial opinion — into a polished deliverable.
lawve-ai/awesome-legal-skills
Audits a website for compliance with Azerbaijan's Law on Personal Data No.
Categories
Maps the full set of legal obligations for the EU AI Act based on role + risk tier, producing an actionable compliance matrix with RACI assignments and implementation priorities. Eu AI Act Obligations Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. Maps the full set of legal obligations for the EU AI Act based on role + risk tier, producing an actionable compliance matrix with RACI assignments and implementation priorities.
Eu AI Act Obligations Oliver Schmidt Prietz fits situations like: asks to map AI Act obligations; check what we need to do under the AI Act; create a compliance checklist; check deployer obligations.
Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a claude-code`. Or copy the skill folder (skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .claude/skills/eu-ai-act-obligations-oliver-schmidt-prietz in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a codex`. Or copy the skill folder (skills/eu-ai-act-obligations-mapper-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .agents/skills/eu-ai-act-obligations-oliver-schmidt-prietz in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-obligations-oliver-schmidt-prietz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eu-ai-act-obligations-oliver-schmidt-prietz, .gemini/skills/eu-ai-act-obligations-oliver-schmidt-prietz, .github/skills/eu-ai-act-obligations-oliver-schmidt-prietz and .opencode/skills/eu-ai-act-obligations-oliver-schmidt-prietz in your project.
SKILL.md names no scripts, command-line tools or credentials: Eu AI Act Obligations Oliver Schmidt Prietz is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Eu AI Act Obligations Oliver Schmidt Prietz is published under the AGPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 51k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Eu AI Act Obligations Oliver Schmidt Prietz: Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), AI Risk Management (briiirussell/cybersecurity-skills, 413 stars), EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k stars) and Eu AI Act Readiness (seb1n/awesome-ai-agent-skills, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.
Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.