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Panels

Checked
ncssm-robotics·vlatest·other·MIT

Generates visually appealing image panels from a single prompt, streamlining content creation for presentations and social media.

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 ncssm-robotics/ftc-claude --skill panels -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

ncssm-robotics

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 ncssm-robotics/ftc-claude at 670e8c6722.

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

Commit
670e8c6722
Manifest
plugins/panels/skills/panels/SKILL.md
Scanned
2 files, 203 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 panels skill allows an AI agent to interact with and understand information presented in panel layouts. It can extract data, identify relationships between elements within panels, and respond based on the panel's contents. This is particularly useful for interpreting structured data displays or dashboards.

When to use it

  • Analyzing a dashboard displaying robot sensor readings to determine optimal adjustments.
  • Extracting key information from a control panel interface to automate tasks.
  • Understanding a visual representation of game state in a strategy game displayed as panels.
  • Processing data presented in a structured format like a settings menu or configuration screen.

Key capabilities

  • Panel element identification
  • Data extraction from panels
  • Relationship analysis within panel layouts
  • Response generation based on panel content

Example prompts

  • "What is the current temperature reading displayed in the top left panel?"
  • "Based on the data in this panel, what action should I take?"
  • "Summarize the key performance indicators shown across all panels."

Tips & gotchas

The skill's effectiveness depends heavily on the clarity and structure of the panel layout. Complex or poorly designed panels may lead to inaccurate interpretations.