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    bankreconciliatie

    5

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

    $7

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    bankreconciliatie

    bankreconciliatie

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the bankreconciliatie

    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.

    Connects securely to your tools. The creator never sees your data.

    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.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Finance & Accounting.

    • Does not handle currency conversions.
    • Limited to 1:1 matching: cannot match one bank line to multiple journal entries.
    • No automated bank API integration: requires CSV files.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Terminal/Shell: the agent runs the bundled Python script (argparse CLI). Read/Write Files: the script reads user-supplied local input files (CSV/JSON) and writes the result to a user-specified path. No network access, no environment variables, no secrets.

    Listed5 months ago
    Updated3 months ago

    What's inside

    Frequently Asked Questions

    This skill automates the comparison between your bank statements and accounting ledgers, automatically identifying exact matches and flagging discrepancies to eliminate hours of manual data entry and human error.

    The skill is designed with flexible parsing that supports various international date formats and both comma or semi-colon decimal separators commonly found in European and US CSV exports.

    You will receive the bank reconciliation agent skill files, a configuration guide for setting your matching tolerances, and sample CSV templates to help you get started immediately.

    Yes, you can configure a 'tolerance window' (number of days) to account for standard processing delays between when a transaction occurs and when it is posted to your bank account.

    Updates are handled through the marketplace dashboard; if the developer releases improvements—such as support for new file types or enhanced matching logic—you will be notified to download the latest version.

    The skill provides a structured summary report categorized by exact matches, tolerance matches, and a prioritized list of unmatched exceptions with suggested reasons for the discrepancy.

    New in Finance & Accounting