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    bankreconciliatie

    by Nex AI

    1

    Automated bank reconciliation skill that matches CSV exports and identifies accounting exceptions.

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    See it in action

    You say

    Match bank_export.csv and general_ledger.csv with a 3-day tolerance. Show me the exceptions.

    Your agent does

    Reconciliation Summary:

    • Total Matched: 42 (38 exact, 4 within 3 days)
    • Unmatched Bank: 2 (€124.50, €15.00)
    • Unmatched Ledger: 1 (€124.55 - potential rounding error)

    Exceptions found:

    1. 2023-10-15 | €124.50 (Bank) vs €124.55 (Ledger) - Amount mismatch.
    2. 2023-10-18 | €15.00 (Bank) - No ledger entry.

    What you get

    Automate matching of hundreds of bank transactions against ledger entries.Identify timing differences between bank clearing and manual bookkeeping.Detect potential double-bookings or missing invoices automatically.Generate a "to-investigate" list for month-end closing procedures.

    About this skill

    What it does

    This skill automates the tedious process of bank reconciliation by programmatically matching bank statements against accounting records. It processes two CSV files and identifies matches based on amounts and dates, incorporating a configurable tolerance window for timing differences.

    Why use this skill

    Manual reconciliation is prone to human error and time-consuming. This developer-focused tool uses a Python-based logic engine to perform mechanical matching, allowing accountants to focus exclusively on exceptions. Unlike simple prompts, this skill handles various CSV formats (European and US decimal/date separators), detects column headers automatically, and provides a structured audit trail of matched versus unmatched items.

    Supported tools

    • Standard CSV exports from banking portals and accounting software
    • Python 3 backend for robust data processing
    • Flexible data parsing (supports dd/mm/yyyy and yyyy-mm-dd)

    The Output

    The agent generates a summary report including the number of exact matches, tolerance matches (date drift), and a detailed list of unmatched items with hypothetical reasons (e.g., timing difference, missing entry, or rounding error) to guide final human verification.

    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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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 9 days ago

    Listed1 month ago
    Updated9 days ago

    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.

    Frequently Asked Questions

    Popular in Finance, Legal & Accounting