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d3-viz

Checked
chrisvoncsefalvay·v1.0.0·frontend·MIT

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualis

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Showing OpenClaw.

  1. 1

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    terminal
    $

What we know about this skill

Publisher

chrisvoncsefalvay

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned chrisvoncsefalvay/claude-d3js-skill at e198c87d03.

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Commit
e198c87d03
Manifest
SKILL.md
Scanned
7 files, 3,018 lines
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About this skill

What it does

This skill enables the creation of interactive data visualizations utilizing D3.js. It allows for the generation of custom charts, graphs, and other visual representations of data. The resulting visualizations are often rendered as Scalable Vector Graphics (SVG) elements, enabling dynamic interaction and complex designs.

When to use it

  • Custom Chart Development: When standard charting libraries don't meet your specific visualization needs.
  • Network Diagram Generation: To represent relationships between entities in a visual format.
  • Geographic Visualizations: For displaying data overlaid on maps or geographic regions.
  • Complex SVG-Based Data Representation: When you need precise control over the appearance and behavior of your visualizations.

Key capabilities

  • Generates interactive charts and graphs.
  • Creates network diagrams representing relationships.
  • Produces geographic visualizations.
  • Utilizes Scalable Vector Graphics (SVG) for rendering.

Example prompts

  • "Create a scatter plot showing the relationship between X and Y data."
  • "Generate a network diagram of nodes A, B, C connected by edges with weights 1, 2, and 3 respectively."
  • “Visualize sales data on a map of Europe, using color to represent different regions.”

Tips & gotchas

This skill requires familiarity with D3.js concepts and potentially some coding knowledge for advanced customization. The complexity of the visualization will directly impact the effort required from the AI agent.