Matlab Paper Plot

    2

    Generate IEEE/Elsevier publication-ready MATLAB figures with consistent styles, vector exports, and LaTeX captions.

    Free

    1 installSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    matlab-paper-plot

    Example session with this skill installed

    Plot my RMSE results against SNR from -10 to 30 dB. Compare my 'DeepNet' method with MUSIC and the CRLB for a sensor array paper.

    • Read your context and instructions
    • Compiled the matlab-paper-plot

    % Generated Publication-Ready Plot

    init_figure('square');
plot(snr, crlb, '-.p', 'Color', [0.49 0.18 0.56], 'DisplayName', 'CRLB'); 
plot(snr, music_err, '--s', 'Color', [0.00 0.45 0.74], 'DisplayName', 'MUSIC');
plot(snr, deepnet_err, '-o', 'Color', [1.0 0 0], 'LineWidth', 1.8, 'DisplayName', 'DeepNet (Proposed)');
save_figure(gcf, 'rmse_vs_snr');

    Output: rmse_vs_snr.eps, rmse_vs_snr.png, rmse_vs_snr.fig
    Caption: Fig. 1. RMSE performance versus SNR for the deep learning-based DOA estimator.

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    About this skill

    Professional Scientific Visualization in MATLAB

    Creating publication-ready figures in MATLAB is a tedious process of tweaking font sizes, line weights, and export resolutions. This skill automates the generation of journal-grade plots that adhere to IEEE, Elsevier, and Springer academic standards, ensuring your research looks professional and consistent.

    What it does

    • Role-Based Styling: Automatically assigns specific colors and line styles based on method types (e.g., Proposed Method vs. Baselines vs. CRB).
    • Multi-Format Export: Generates vector EPS for LaTeX, high-res PNG for slides, and .fig files for future editing in one workflow.
    • Smart Layouts: Manages figure positioning and aspect ratios for single plots, comparisons, or spectra to fit perfectly in paper columns.
    • Academic Compliance: Enforces Helvetica fonts, proper line weights (1.8pt+), and readable marker sizes for high-impact factor journals.

    Why use this skill?

    Prompting an AI for plots often results in "default-looking" MATLAB figures with thin lines and small fonts that fail peer review. This skill uses a strict binding style guide to ensure your Proposed Method is always visible on top, markers are distinct, and captions are written in proper academic tense without redundant parameter clutter.

    The Output

    You receive optimized MATLAB source code, a set of exported files (EPS/PNG/FIG), and a clean LaTeX caption ready to be dropped into your manuscript.

    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

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    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.

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