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Data Storytelling

Checked
wshobson·vlatest·writing·MIT

Transforms raw data into clear, compelling narratives with visualizations to reveal insights and drive understanding.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill data-storytelling -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

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

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 426 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The data-storytelling skill enables AI agents to transform raw data into compelling narratives, visualizations, and insights. It supports creating clear, engaging stories from complex datasets using charts, graphs, and summaries tailored for different audiences.

When to use it

  • Presenting analytical findings to non-technical stakeholders in a digestible format.
  • Preparing reports or dashboards that require both data accuracy and narrative flow.
  • Explaining trends or patterns in large datasets during meetings or presentations.

Key capabilities

  • Generating visualizations like charts, graphs, and infographics from structured data.
  • Summarizing key insights and translating them into clear, concise narratives.
  • Customizing output based on audience needs (e.g., technical vs. non-technical).

Example prompts

  • "Create a presentation summarizing this sales report for the executive team."
  • "Generate an infographic showing user growth over the past year."
  • "Explain these customer feedback trends in simple terms for a marketing meeting."

Tips & gotchas

  • Ensure data is clean and well-formatted before using this skill to avoid misleading outputs.
  • Use it in conjunction with other skills like data-cleaning or visualization tools for best results.

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