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Data Storytelling

Listed
sickn33·vlatest·writing·MIT

Transforms complex data into engaging narratives & visualizations, revealing hidden insights with compelling storytelling.

Repository

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 sickn33/agentic-awesome-skills --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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/data-storytelling/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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

This skill enables AI agents to transform raw datasets into compelling narratives, bridging the gap between complex numbers and human understanding. It automates the process of identifying trends, anomalies, and key insights within data to craft a structured story that drives decision-making.

When to use it

  • Converting quarterly sales figures into a strategic report for executive leadership.
  • Explaining medical research findings to patients in plain, non-technical language.
  • Summarizing customer feedback logs into actionable product improvement stories.
  • Presenting financial audit results as a clear narrative of compliance and risk.

Key capabilities

  • Narrative Construction: Automatically structures data points into a logical beginning, middle, and end.
  • Insight Extraction: Identifies significant patterns, outliers, and correlations within the provided dataset.
  • Contextual Adaptation: Tailors the tone and complexity of the story based on the intended audience.

Example prompts

  • "Analyze this CSV file of website traffic and write a story explaining why user engagement dropped last month."
  • "Turn these survey results into a narrative that highlights our top three customer pain points."
  • "Generate a data-driven story about climate change trends using the attached temperature records from 1990 to 2023."

Tips & gotchas

Ensure your input data is clean and structured, as the quality of the resulting story depends heavily on the integrity of the source numbers. This skill focuses on storytelling; it does not perform the initial data cleaning or statistical validation before generating the narrative.