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Visualization

Checked
aws-samples·vlatest·data·MIT

This Visualization skill generates charts & graphs from your data, offering instant insights and clear visual representations for better understanding.

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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -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

aws-samples

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 aws-samples/sample-strands-agent-with-agentcore at 4c1933d9e3.

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

Commit
4c1933d9e3
Manifest
chatbot-app/agentcore/skills/visualization/SKILL.md
Scanned
1 file, 72 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

This skill generates visualizations from data. It allows you to create charts and graphs based on provided datasets, enabling easier understanding of complex information. The specific types of visualizations supported are not detailed in the source but can be inferred as being chart and graph related.

When to use it

  • Data Exploration: Quickly visualize a dataset to identify trends and patterns that might not be obvious from raw numbers.
  • Report Generation: Create charts for inclusion in reports or presentations, making data more accessible to stakeholders.
  • Dashboard Creation: Build visual dashboards summarizing key performance indicators (KPIs) derived from various data sources.
  • Data Analysis: Support deeper analysis by providing graphical representations of relationships within the data.

Key capabilities

  • Generates visualizations
  • Works with datasets
  • Creates charts and graphs

Example prompts

  • "Create a bar chart showing sales figures for each quarter."
  • "Visualize this dataset as a line graph, highlighting the trend over time."
  • “Can you generate a pie chart representing market share?”

Tips & gotchas

The specific data formats accepted by the skill are not detailed. Ensure your data is properly formatted and structured before requesting visualizations.