Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    T212 Pie Manager

    1

    Analyze vour Trading212 portfolio health, P&L, diversification. Concentration risk, and top/bottom performers - powered by your live account data.

    $9

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    T212 Pie Manager

    T212 Pie Manager

    Example session with this skill installed

    Check my pie allocations

    • Read your context and instructions
    • Compiled the t212 pie manager

    πŸ₯§ Pie Analysis β€” 4 Jul 2026

    Tech Growth: €173 | +2.4% return | πŸ”΄ Drift detected
    Dividend Income: €133 | +11.9% return | 🟒 On target
    Defense: €39 | -2.9% return | 🟒 On target

    πŸ”΄ Tech Growth needs rebalancing:
    NVDA 25% β†’ 31% (+6%) β€” Sell ~€11 worth
    MSFT 25% β†’ 21% (-4%) β€” Buy ~€7
    GOOGL 25% β†’ 26% (+1%) β€” OK
    AVGO 25% β†’ 22% (-3%) β€” Buy ~€4

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

    What you get

    Calculate percentage drift from target weights for all pie constituents.Generate buy/sell orders in currency amounts to fix portfolio imbalance.Compare performance and P&L across different thematic investment pies.Monitor cash drag and dividend details within specific pie allocations.

    About this skill

    The problem

    Trading212 investors often suffer from portfolio drift where price volatility pushes asset allocations away from their original targets. Manually calculating the exact buy and sell orders needed to restore balance across multiple pies is tedious and prone to mathematical error.

    What it does

    • Analyzes Trading212 investment pies to detect weight drift between target and actual shares.
    • Calculates performance metrics including P/L, total value, and ROI for each individual pie.
    • Generates specific rebalancing instructions, including exact currency amounts to sell or buy per ticker.
    • Flags tax implications for rebalancing within standard Invest accounts versus ISA wrappers.
    • Ranks pie performance to identify which investment strategies are outperforming the market.

    Frameworks & tools

    This skill requires the trading212-mcp-server and a valid Trading212 API key. It integrates with the Trading212 Invest and ISA account types via the official API.

    Why this beats prompting it yourself

    A standard LLM cannot see your real-time portfolio data or specific pie structures. This skill provides the logic to fetch live instrument data, compute precise percentage drifts, and apply severity thresholds (1%, 3%, 5%) to filter noise from actionable trades. It handles the specific JSON schema of the Trading212 API to ensure calculations are based on actual holdings, not hallucinations.

    Use cases

    • Identify which specific stocks in a "Tech Growth" pie have become over-concentrated.
    • Determine the cost and distribution required to bring a "Dividend Income" pie back to target.
    • Compare the annualized returns of different thematic pies against each other.
    • Perform a weekly drift audit to keep portfolio risk within defined parameters.

    Known limitations

    This skill analyzes existing pies but cannot create new ones. CFD accounts are not supported as they do not use the pie feature. Performance is subject to API price data latency.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 3 months ago

    • Passed all security checks, Safe to install

    Listed3 months ago

    What's inside

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