Akte Proeflezer
by Nex AI
Automated mechanical check of notarial deeds for consistency in names, dates, amounts, and template placeholders.
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See it in action
You say
Review this draft deed of sale against the attached ID cards and the signed purchase agreement. Check for any inconsistencies in the price or names.
Your agent does
Correction List:
- [BLOCKING] Price mismatch: €256,000 in digits vs "two hundred sixty-five thousand" in words. (Agreement says €265,000).
- [DISRUPTIVE] Name spelling: "Janssen" in deed vs "Janssens" on ID card.
- [COSMETIC] Double space in Art. 4.
- [UNVERIFIED] Cadastral data (Map not provided).
What you get
About this skill
What it does
The Notarial Deed Proofreader acts as a systematic final gatekeeper for legal professionals. It performs a mechanical consistency check on draft deeds, verifying that names, dates, amounts, and cadastral data are accurate and consistent throughout the document and against source materials. It identifies embarrassing and risky errors like mismatched numerical/written amounts, leftover template placeholders, and internal reference breaks.
Why use this skill
Manual proofreading of long legal documents is prone to human fatigue. This skill automates the "robotic" part of the review, catching discrepancies that the human eye often skims over. It is significantly more reliable than standard AI prompting because it follows a rigorous multi-step protocol: verifying identity details against ID documents, cross-referencing amounts against sales agreements, and checking internal logic (e.g., ensuring "Article 12" actually exists).
Supported checks
- Identity: Cross-referencing names, dates of birth, and addresses with source docs.
- Financial: Verifying that figures in digits match figures in words and that calculations (price = deposit + balance) add up.
- Cadastral: Mapping property details to official records.
- Template Cleanup: Scanning for [PLACEHOLDERS] and artifacts from previous files.
- Version Comparison: Detecting "silent changes" between two document drafts.
Output
The result is a structured correction list categorized by severity: Blocking (legal risks), Disruptive (clerical errors), or Cosmetic (formatting), plus a list of items that couldn't be verified due to missing source files.
Built by Nex AI. More skills and info at nex-ai.be and slopsome.com.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.
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