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Ai Multimodal

Checked
mrgoonie·vlatest·ai-ml

Analyzes images, audio, and text together to provide comprehensive insights and contextually relevant responses.

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 mrgoonie/claudekit-skills --skill ai-multimodal -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

mrgoonie

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 mrgoonie/claudekit-skills at 80113d86bc.

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

Commit
80113d86bc
Manifest
.claude/skills/ai-multimodal/SKILL.md
Scanned
13 files, 4,523 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 enables AI agents to analyze and process a wide range of multimedia content including audio, images, videos, documents, and generate new images using Google Gemini's multimodal API. It provides a unified interface for understanding various media types and generating responses based on their combined context. The skill supports transcription, summarization, object detection, visual question answering, document extraction, and text-to-image generation.

When to use it

  • Analyze YouTube videos to understand the content and key events.
  • Extract data from PDFs, including tables, charts, and diagrams.
  • Generate images based on textual descriptions, with control over style and aspect ratio.
  • Summarize long audio recordings or video files.
  • Compare multiple images to identify similarities or differences.

Key capabilities

  • Audio Processing: Transcription (with timestamps up to 9.5 hours), summarization, speech understanding, speaker identification, text-to-speech generation.
  • Image Understanding: Captioning, object detection, pixel-level segmentation, visual question answering, OCR and text extraction.
  • Video Analysis: Scene detection, video Q&A, transcription with visual descriptions, YouTube URL support.
  • Document Extraction: PDF processing (up to 1,000 pages), table/form extraction, chart analysis, structured data output (JSON schema).
  • Image Generation: Text-to-image generation, image editing, multi-image composition, iterative refinement.

Example prompts

  • "Summarize this YouTube video: [YouTube URL]"
  • "Extract the key information from this PDF document."
  • "Generate an image of a cat wearing a hat in a 16:9 aspect ratio."
  • “What objects are present in this image?” (accompanied by an uploaded image)

Tips & gotchas

  • The skill utilizes Google Gemini's multimodal API, and performance may vary based on the complexity of the input.
  • For optimal results, use the "gemini-2.5-pro" model as recommended.
  • Document processing is limited to 1,000 pages.