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sickn33/agentic-awesome-skills
The AI native file format. An agent skill from sickn33/agentic-awesome-skills.
Generates a formal, structured AI Act compliance assessment report suitable for legal files, audit trails, and regulatory inquiries.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-report-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-report-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-examination-report-generator-oliver-schmidt-prietz .claude/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz into .claude/skills/eu-ai-act-report-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-report-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-examination-report-generator-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-report-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-report-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-examination-report-generator-oliver-schmidt-prietz .agents/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz into .agents/skills/eu-ai-act-report-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-report-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-report-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-report-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-examination-report-generator-oliver-schmidt-prietz .cursor/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz into .cursor/skills/eu-ai-act-report-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-report-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-examination-report-generator-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-report-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-report-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-examination-report-generator-oliver-schmidt-prietz .gemini/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz into .gemini/skills/eu-ai-act-report-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-report-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-report-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-report-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-examination-report-generator-oliver-schmidt-prietz .github/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz into .github/skills/eu-ai-act-report-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-report-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-report-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-report-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-examination-report-generator-oliver-schmidt-prietz .opencode/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz into .opencode/skills/eu-ai-act-report-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-report-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-report-oliver-schmidt-prietzGenerates a formal, structured AI Act compliance assessment report suitable for legal files, audit trails, and regulatory inquiries.
Eu AI Act Report Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. Generates a formal, structured AI Act compliance assessment report suitable for legal files, audit trails, and regulatory inquiries. This skill should be used when the user asks to "generate an AI Act report", "create a compliance assessment report", "document the AI Act analysis", "create a Prüfbericht", "export as Word document", or wants to consolidate prior AI Act skill outputs into a formal documented assessment.
Its SKILL.md is about 5.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `README.md`, `evals.json` and `references/case-studies.md`).
It sits in Legal & Compliance, covering AI governance. It works with Microsoft Word. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.
5 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 Report Oliver Schmidt Prietz loads about 5.2k tokens when it runs, and up to ~31k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 1,415 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). 1,415 words, ~5,159 tokens.
.claude/skills/eu-ai-act-report-oliver-schmidt-prietz/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Generate a formal, structured AI Act compliance assessment report (Dokumentierter Pruefbericht) suitable for legal files, audit trails, and regulatory inquiries under Regulation (EU) 2024/1689.
Important: This skill produces structured AI Act report templates based on Regulation (EU) 2024/1689. It is not legal advice. Reports should be reviewed and validated by qualified legal counsel before regulatory use. Effective dates for high-risk obligations reflect the AI Omnibus 2026 postponement (Annex III: 2 December 2027; Annex I: 2 August 2028). When report templates reference compliance deadlines, use the Omnibus-postponed values.
Before report generation — search for:
EU AI Act latest Commission guidance enforcement decisions [current year]
EU AI Act [relevant sector] specific guidance [current year]For legal citation verification — search for:
EU AI Act Regulation 2024/1689 consolidated text corrigenda [current year]Step 1 — Context detection:
"Let's generate your AI Act compliance report."
If you've run prior AI Act skills in this conversation, I can extract the outputs. Otherwise, paste your Assessment Context block or describe your situation.
Step 2 — Coverage analysis (internal — do not show this table to the user):
Extract up to 11 fields from prior context or narrative:
| # | Field | Source |
|---|---|---|
| 1 | System name | Context block "System:" or description |
| 2 | Version | Description or context |
| 3 | Provider/vendor | Description or context |
| 4 | Technology type | Description (ML, NLP, CV, etc.) |
| 5 | Deployment context | Description or prior skill outputs |
| 6 | Data types processed | Description |
| 7 | Integration level | Description (standalone, integrated, API-based) |
| 8 | Organization name | Context block or description |
| 9 | Sector | Context block "Sector:" line |
| 10 | Role | Context block "Role:" line |
| 11 | Jurisdiction / Org size | Context block lines |
If an Assessment Context block is provided, auto-populate all available fields, confirm extractions, and ask only about gaps.
If no prior skill outputs are available — gather essential inputs conversationally:
"I'll need some details about the AI system and your organization. You can answer in your own words — a paragraph or bullet points covering: what the system does, who built it, how it's used, your organization's name and sector, and where you operate in the EU."
Extract fields from the response. Ask about remaining gaps in a single follow-up.
Step 3 — Report-specific fields (always asked, since they're unique to the report):
"A few report-specific details:"
- Client/matter reference (optional)
- Prepared by (name/role)
- Date of assessment
Maximum 2 interaction turns for intake. If a field remains unclear, mark as [UNCLEAR — to be confirmed].
Before generating the report, cross-check stated inputs for consistency:
Classification Cross-Check: If stated risk tier is "minimal" or "limited" but system description mentions:
Role Cross-Check:
Completeness Cross-Check:
Proceed to Phase 2 after validation confirmed or flags acknowledged.
Template Selection:
"Which output format would you like?"
- (a) Full Assessment Report — comprehensive report following the standard template (default)
- (b) Classification Record (Prüfprotokoll) — formal audit trail for the classification decision
- (c) Compliance Register Entry — living compliance tracking document for GRC integration
- (d) Management Briefing (Entscheidungsvorlage) — 2-page decision document for board/C-level
- (e) Multiple — generate more than one format
For templates (b), (c), (d): Read references/output-templates.md for the template structures, quality checklists, and when-to-use guidance.
For template (a) — the full assessment report:
Read references/report-template.md for the full template structure. Read references/legal-citations-index.md for citation accuracy. Read references/interpretation-aids.md for assessment frameworks. Read references/case-studies.md for sample report excerpts (high-risk, Art. 6(3) exception, minimal risk).
Generate the report following this structure:
# AI Act Compliance Assessment Report
## [System Name] — [Date]
---
**Report Reference:** [reference number]
**Prepared by:** [name, role]
**Organization:** [organization name]
**Date:** [date]
**Status:** [Draft / Final]
---
### 1. Introduction
**1.1 Purpose of Assessment**
This report documents the assessment of [system name] under Regulation (EU) 2024/1689 (EU AI Act). The assessment determines: (a) whether the system qualifies as an AI system under Art. 3(1), (b) the applicable risk classification, (c) the organization's role in the AI value chain, and (d) the resulting legal obligations.
**1.2 Scope**
[Description of assessment scope — what is included and excluded]
**1.3 Methodology**
Assessment based on:
- EU AI Act (Regulation (EU) 2024/1689) — all articles, recitals, and annexes
- Commission Guidelines on AI System Definition (C(2025) 924 final, 6 Feb 2025)
- Commission Guidelines on Prohibited AI Practices (4 Feb 2025)
- [Other applicable Commission guidelines]
- OECD AI Framework (AI system definition alignment)
- ISO 22989:2022 (AI concepts and terminology)
- [Any additional sources consulted, including web search results]
**1.4 Limitations**
- Based on information provided by [client/organization]
- Subject to evolving regulatory interpretation
- Does not constitute legal advice
- [Any specific limitations]
---
### 2. System Description
**2.1 General Information**
| Field | Detail |
|-------|--------|
| System name | [name] |
| Version | [version] |
| Provider/vendor | [name] |
| Technology type | [ML, NLP, CV, etc.] |
| Deployment date | [date or planned] |
**2.2 Technical Description**
[Brief technical description of how the system works]
**2.3 Deployment Context**
[How and where the system is used, who uses it, who is affected]
**2.4 Data Flows**
[What data goes in, what comes out, where data is stored]
---
### 3. Preliminary Check — Scope Exclusions (Art. 2)
| # | Exclusion | Article | Applicable? | Reasoning |
|---|----------|---------|-------------|-----------|
| 1 | Military/defence/national security | Art. 2(3) | [Yes/No] | [reasoning] |
| 2 | Third-country international cooperation | Art. 2(4) | [Yes/No] | [reasoning] |
| 3 | Scientific research exclusively | Art. 2(6) | [Yes/No] | [reasoning] |
| 4 | Pre-market R&D | Art. 2(8) | [Yes/No] | [reasoning] |
| 5 | Personal/household use | Art. 2(10) | [Yes/No] | [reasoning] |
| 6 | Free and open-source | Art. 2(12) | [Yes/No] | [reasoning] |
**Result:** [AI Act applies / Exclusion under Art. 2([x]) applies]
[If open-source: include Checklist I or II analysis]
---
### 4. Scope of Application
**4.1 Material Scope — AI System Determination (Art. 3(1))**
| # | Criterion | Met? | Reasoning |
|---|-----------|------|-----------|
| 1 | Machine-based operation | [Yes/No] | [reasoning] |
| 2 | Degree of autonomy | [Level X] | [reasoning] |
| 3 | Adaptability after deployment | [Yes/No] | [reasoning] |
| 4 | Explicit or implicit goals | [Yes/No] | [reasoning] |
| 5 | Inference capability | [Yes/No] | [reasoning] |
| 6 | Output generation | [Yes/No] | [reasoning] |
| 7 | Environmental influence | [Yes/No] | [reasoning] |
**Determination:** [IS / IS NOT an AI system under Art. 3(1)]
**Confidence:** [High/Medium/Low]
**4.2 Personal Scope — Role Determination**
| Aspect | Determination |
|--------|--------------|
| Primary role | [Provider/Deployer/Importer/Distributor] |
| Legal basis | [Art. 3(x)] |
| Quasi-provider risk | [None/Low/Medium/High] |
| Art. 25 scenario | [N/A or applicable scenario] |
[Detailed reasoning for role determination]
**4.3 Territorial Scope**
| Aspect | Detail |
|--------|--------|
| Provider establishment | [EU/non-EU] |
| Deployer establishment | [EU Member State(s)] |
| AI output used in EU | [Yes/No] |
| Territorial basis | [Art. 2(1)(a)/(b)/(c)] |
---
### 5. Intended Purpose (Art. 3(12))
**Provider's documented intended purpose:**
[As stated in provider's documentation]
**Actual deployment context:**
[How the system is actually used]
**Alignment assessment:**
[Match/Deviation — if deviation, assess Art. 25(1)(c) implications]
---
### 6. Risk Classification
**6.1 Prohibited Practices Screening (Art. 5)**
| # | Category | Article | Applicable? | Reasoning |
|---|----------|---------|-------------|-----------|
| 1 | Subliminal/manipulative/deceptive | Art. 5(1)(a) | [No/Possibly/Yes] | [reasoning] |
| 2 | Exploitation of vulnerabilities | Art. 5(1)(b) | [No/Possibly/Yes] | [reasoning] |
| 3 | Social scoring | Art. 5(1)(c) | [No/Possibly/Yes] | [reasoning] |
| 4 | Criminal risk prediction (profiling) | Art. 5(1)(d) | [No/Possibly/Yes] | [reasoning] |
| 5 | Untargeted facial recognition scraping | Art. 5(1)(e) | [No/Possibly/Yes] | [reasoning] |
| 6 | Emotion recognition (workplace/education) | Art. 5(1)(f) | [No/Possibly/Yes] | [reasoning] |
| 7 | Biometric categorization (sensitive) | Art. 5(1)(g) | [No/Possibly/Yes] | [reasoning] |
| 8 | Real-time remote biometric ID (public) | Art. 5(1)(h) | [No/Possibly/Yes] | [reasoning] |
**Result:** [No prohibited practice identified / PROHIBITED — Art. 5(1)([x])]
**6.2 High-Risk Assessment**
**6.2.1 Annex I — Product Safety**
[Assessment against 18 Annex I categories]
**Result:** [Not applicable / Applicable — Annex I Nr. [X]]
**6.2.2 Annex III — Application-Based**
| # | Category | Applicable? | Sub-category | Reasoning |
|---|----------|-------------|-------------|-----------|
| 1 | Biometrics | [Yes/No] | | |
| 2 | Critical infrastructure | [Yes/No] | | |
| 3 | Education & training | [Yes/No] | | |
| 4 | Employment & workers | [Yes/No] | | |
| 5 | Essential services | [Yes/No] | | |
| 6 | Law enforcement | [Yes/No] | | |
| 7 | Migration & border | [Yes/No] | | |
| 8 | Justice & democracy | [Yes/No] | | |
**Result:** [Not applicable / Applicable — Annex III Nr. [X]]
**6.2.3 Art. 6(3) Exception Analysis**
[If Annex III triggered: analyze Art. 6(3) conditions (a)-(d)]
[Profiling re-exception check]
**Result:** [Exception applies — not high-risk / Exception does not apply — HIGH-RISK]
**6.3 GPAI / Systemic Risk Assessment**
[If applicable: GPAI model assessment, FLOP threshold, systemic risk indicators]
**Result:** [Not GPAI / GPAI standard / GPAI with systemic risk]
**6.4 Transparency Obligations (Art. 50)**
| Obligation | Article | Applicable? |
|-----------|---------|-------------|
| Interaction disclosure | Art. 50(1) | [Yes/No] |
| Synthetic content marking | Art. 50(2) | [Yes/No] |
| Emotion recognition disclosure | Art. 50(3) | [Yes/No] |
| Deep fake labeling | Art. 50(4) | [Yes/No] |
---
### 7. Applicable Obligations
[Obligation summary matrix — from a prior obligation-mapping step, or generated here based on the classification and role]
**7.1 Obligation Summary**
| Category | Count | Immediate | Short-term | Ongoing |
|----------|-------|-----------|------------|---------|
| Technical measures | [X] | [Y] | [Z] | [W] |
| Organizational measures | [X] | [Y] | [Z] | [W] |
| Management systems | [X] | — | [Y] | [Z] |
| Impact assessments | [X] | [Y] | — | — |
| **Total** | **[X]** | **[Y]** | **[Z]** | **[W]** |
**7.2 Critical Timeline Obligations**
[List obligations with nearest deadlines]
**7.3 Management Systems Required**
[List required management systems]
---
### 8. Risk Flags & Recommendations
**8.1 Identified Risks Requiring Legal Judgment**
[List any areas where the assessment cannot reach a definitive conclusion]
**8.2 Recommendations**
| # | Recommendation | Priority | Responsible |
|---|---------------|----------|-------------|
| 1 | [recommendation] | [High/Medium/Low] | [role] |
| 2 | [recommendation] | [High/Medium/Low] | [role] |
**8.3 GDPR Cross-References**
[List applicable GDPR obligations and suggested skills]
---
### 9. Conclusion
**Overall Classification:**
[System name] is classified as a **[risk tier]** AI system under the EU AI Act, with the organization acting as **[role]**.
**Compliance Readiness:**
[Assessment of current compliance status — Ready / Partially Ready / Not Ready]
**Key Actions:**
1. [Most important action]
2. [Second most important action]
3. [Third most important action]
---
**Prepared by:** [name]
**Date:** [date]
**Reviewed by:** [name, if applicable]
**Disclaimer:** This assessment is based on the information provided and current interpretation of the EU AI Act (Regulation (EU) 2024/1689) as of the assessment date. It does not constitute legal advice. The regulatory landscape is evolving — Commission guidelines, delegated acts, and harmonized standards may affect this assessment. Periodic reassessment is recommended.After generating the report, verify:
Suggest follow-up actions:
Note: This phase requires Claude Code (CLI) with file system access. It is not available on claude.ai or mobile.
After Phase 3 Quality Check is complete, offer the Word document export:
"Would you like me to also export this as a professionally formatted Word document (.docx)?"
If the user declines or the environment does not support file generation → skip this phase.
If yes:
Prerequisite: The docx-processing-anthropic skill must be installed at ~/.claude/skills/docx-processing-anthropic/. If the skill directory does not exist, inform the user: "Word document export requires the docx-processing skill. Install it first, then re-run this phase."
Step 1 — Confirm details:
"I'll generate a Word document. Where should I save it?"
Default: current working directory. Use the naming convention: AI-Act-[Template]-[SystemName]-[YYYY-MM-DD].docx
Step 2 — Generate the document:
Read references/docx-formatting.md for styling specifications, typography, table formatting, cover page structure, and per-template structural guidance.
Read the docx-js API reference from the docx-processing skill (~/.claude/skills/docx-processing-anthropic/references/docx-js.md) for the full library API and critical formatting rules.
Generate a JavaScript file that:
Run the JavaScript file to produce the .docx. Verify the file was created successfully.
Step 3 — Confirm delivery:
"Word document saved to:
[file path]"
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 11 other files (references) in skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz of lawve-ai/awesome-legal-skills.
Open the folder on GitHubat commit 045f738
Eu AI Act Report 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 Report Oliver Schmidt Prietz this skilllawve-ai/awesome-legal-skills | 847 | — | ~5.2k | Automated safety check: Pass | AGPL-3.0 | |
| Akf Trust Metadatasickn33/agentic-awesome-skills | 47k | 2 repos | ~495 | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None | |
| Elements-Style Complaint Generatorcat-xierluo/legal-skills | 721 | — | ~2.6k | Automated safety check: Notes | MIT | |
| Pii Contract Analyzegregmos/PII-Shield | 150 | — | ~8.9k | Automated safety check: Notes | MIT |
sickn33/agentic-awesome-skills
The AI native file format. An agent skill from sickn33/agentic-awesome-skills.
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
snipp-zha/Paper-to-patent-Skill
Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts.
cat-xierluo/legal-skills
Converts a lawyer's ordinary complaint or a described case into the Supreme People's Court's elements-style Word template, with layout checks on the result.
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
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.
Works with
Categories
Generates a formal, structured AI Act compliance assessment report suitable for legal files, audit trails, and regulatory inquiries. Eu AI Act Report Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. Generates a formal, structured AI Act compliance assessment report suitable for legal files, audit trails, and regulatory inquiries.
Eu AI Act Report Oliver Schmidt Prietz fits situations like: asks to generate an AI Act report; create a compliance assessment report; document the AI Act analysis; create a Prüfbericht.
Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-report-oliver-schmidt-prietz -a claude-code`. Or copy the skill folder (skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .claude/skills/eu-ai-act-report-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-report-oliver-schmidt-prietz -a codex`. Or copy the skill folder (skills/eu-ai-act-examination-report-generator-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .agents/skills/eu-ai-act-report-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-report-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-report-oliver-schmidt-prietz, .gemini/skills/eu-ai-act-report-oliver-schmidt-prietz, .github/skills/eu-ai-act-report-oliver-schmidt-prietz and .opencode/skills/eu-ai-act-report-oliver-schmidt-prietz in your project.
SKILL.md names no scripts, command-line tools or credentials: Eu AI Act Report 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 Report 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 5.2k tokens (SKILL.md is roughly 21k 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 26k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Eu AI Act Report Oliver Schmidt Prietz: Akf Trust Metadata (sickn33/agentic-awesome-skills, 47k stars), Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars) and Elements-Style Complaint Generator (cat-xierluo/legal-skills, 721 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.