Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    figure designer

    1

    Turn any methodology, pipeline, or result into a publication-ready figure, with spec, caption, and renderable code.

    $7

    Secure checkout via Stripe

    30-day refund guarantee

    Converts to your local currency at checkout

    Security scanned
    figure designer

    figure designer

    Example session with this skill installed

    Use figure-designer to create the methodology overview figure for my paper on a transformer-based time-series forecasting model with a decomposition block.

    • Read your context and instructions
    • Compiled the figure designer
    • Generated the image

    Designed a single-column methodology overview figure with 6 modules, 8 labeled arrows, a color-blind-safe palette, a ready-to-render Mermaid diagram, and a numbered caption.

    Figure brief

    Message: the model decomposes the series, then forecasts each component with a transformer and recombines the outputs.

    Visual specification

    ElementTypeLabelNotes
    Input seriesNodex_tHistorical time series
    Decomposition blockNodeTrend + seasonalSplits input
    Transformer encoderNodeEncoderProcesses each component
    Forecast headNodeLinear headProduces per-component forecast
    RecombinationNodeSumMerges components
    OutputNodey_hatFinal forecast

    Renderable code (Mermaid)

    flowchart LR
  A[Input x_t] --> B[Decomposition]
  B --> C[Trend]
  B --> D[Seasonal]
  C --> E[Encoder]
  D --> E
  E --> F[Forecast head]
  F --> G[Recombine]
  G --> H[Output y_hat]

    Caption

    Figure 1. Overview of the proposed model. The input series is decomposed into trend and seasonal components, each encoded by a shared transformer, and the forecasts are recombined into the final output.

    Next steps

    • Run paper-outline to confirm the figure's page placement.
    • Run reviewer to stress-test the figure clarity before submission.

    figure-designer.png

    PNG · 1536×1024

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    What you get

    Create Figure 1 methodology overviews for conference submissions.Generate Matplotlib code for ablation studies and comparison charts.Design Mermaid flowcharts for complex data processing pipelines.Ensure figure compliance with journal column widths and font requirements.

    About this skill

    The problem

    Reviewers skim figures before reading the text, and a confusing diagram can sink an otherwise strong paper. Researchers waste hours in drawing tools and still produce figures that are unclear, inconsistent, or illegible at print size. This skill turns the method and results into publication-ready figures.

    What it does

    • Extracts components, data flow, and the training/inference pipeline from your methodology.
    • Chooses the right diagram type, such as overview, architecture, pipeline, flowchart, comparison, or ablation.
    • Produces a precise visual specification with boxes, arrows, labels, and a color-blind-safe palette.
    • Generates renderable code in Mermaid, Graphviz DOT, TikZ, draw.io XML, or matplotlib.
    • Writes the numbered caption, alt text, and in-text reference wording.
    • Checks venue compliance for column width, font size, and grayscale fallback.

    Why this beats prompting it yourself

    Generic prompts describe the figure but leave the layout to you. This skill extracts the single message the figure must convey, composes the diagram element by element, and emits code that actually renders, so you can drop it straight into Overleaf, draw.io, or a README.

    Use cases

    • Designing the methodology overview or architecture figure (Fig. 1).
    • Turning a written pipeline into a block diagram or flowchart.
    • Creating results figures such as comparison charts, ablation heatmaps, and confusion matrices.
    • Writing captions and alt text that survive a skim read.
    • Making existing figures venue-compliant and color-blind safe.

    Known limitations

    The skill produces a specification and renderable code, not a raster image; the code must be rendered in a compatible viewer. The quality of a data figure depends on the accuracy of the numbers you provide.

    Important

    It designs and specifies figures; it does not run experiments or generate results data. Feed it the methodology from methodology-designer and the figure list from paper-outline for the best output.

    Why buy it

    Use it after methodology-designer and paper-outline to turn the written method into clear, publication-ready visuals. It is the figure step of the design pack.

    How to install

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

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    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.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 13 days ago

    • Passed all security checks, Safe to install

    Listed13 days ago

    What's inside

    Frequently Asked Questions