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    Cashflow Prognose

    5

    Professional Python-driven monthly liquidity forecasting and deficit signaling for accountants and SMEs.

    $7

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    cashflow-prognose

    cashflow-prognose

    Example session with this skill installed

    Generate a 12-month cashflow forecast starting with 25k. Recurring: 18k revenue, 10k salary. Quarterly 8k VAT starting October. One-time 30k investment in November.

    • Read your context and instructions
    • Compiled the cashflow-prognose

    Liquiditeitsprognose

    • Tekort gesignaleerd: Nov 2024 (€-7.000), Dec 2024 (€-1.000).
    • Verloop: Okt eindigt op €33k (na BTW), Nov daalt naar €-7k door investering.
    • Advies: Bespreek financiering of timing van investering voor november.
      CSV-bestand gegenereerd met volledig overzicht.

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

    About this skill

    What it does

    The Cashflow Prognose skill automates the generation of monthly liquidity forecasts for financial professionals. By processing a CSV of recurring and one-off income/expense items through a dedicated Python execution engine, it transforms raw data into a structured monthly planning overview. It identifies months with potential deficits and tracks cumulative balances over a defined horizon (up to 60 months).

    Why use this skill

    Standard LLM prompting often struggles with precise multi-month calculations, especially when handling varying frequencies like quarterly VAT payments or annual insurance premiums alongside monthly recurring costs. This skill uses a logic-based Python script to ensure mathematical accuracy and consistency. It specifically addresses "what-if" scenarios by allowing you to quickly rerun simulations with different starting balances or investment timings.

    Key Features

    • Automated calculation of monthly net cashflow and closing balances.
    • Support for multiple frequencies: monthly, quarterly, annual, and one-time events.
    • Automatic deficit signaling for early warning on liquidity issues.
    • Structured Dutch-language reports suitable for communication between accountants and clients.
    • Scenario support for optimistic vs. pessimistic forecasting.

    Output

    The skill generates a detailed monthly table (Revenue, Expenses, Net, Balance), a prominent list of months where the balance drops below zero, and a clear list of assumptions used in the model to ensure transparency and accountability.

    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.

    • No automated tax/VAT calculation: user must input tax as line items.
    • Static inputs only: no automatic seasonal trends or dynamic growth curves.

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    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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    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

    Unlike standard AI models that might make arithmetic errors, this skill processes your financial data through a Python-based engine to ensure 100% mathematical accuracy across complex, multi-year timelines.

    Simply provide a CSV file containing your recurring and one-off income/expense items; the skill will guide you through mapping these columns to its internal Python processor.

    The skill supports sophisticated modeling for monthly, quarterly (VAT), and annual payments, as well as one-time capital expenditures, projecting them across a horizon of up to 60 months.

    You receive the full Cashflow Prognose skill logic, pre-configured for Python execution environments, and a standardized reporting template designed for professional accounting standards.

    Yes, you can easily run multiple simulations by altering starting balances or expense timings to visualize 'what-if' scenarios, such as the impact of a large investment or a delay in client payments.

    New in Finance & Accounting