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Video Analyzer

Community
mikefutia
video-analyzer

Analyzes a video file with Google Gemini and returns a structured markdown report covering top-level summary, scene-by-scene breakdown, audio transcript (or honest "silent" note), visual details, and key timestamped moments. Strong anti-hallucination guardrails — will not invent narrators, voiceovers, or speaker names. Use when you need to understand what actually happens in a video.

Overview

Publishermikefutia
Repositoryclaude-vision
Skill namevideo-analyzer
Stars
103
Forks
26
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mikefutia on GitHub. Read the source before you install it.

Installation

Install the Video Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mikefutia/claude-vision/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mikefutia/claude-vision.git \
  .claude/skills/video-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Analyze Video

Analyze a video file with Gemini and return a structured markdown report.

Prerequisites

  • Python 3.10+
  • google-genai installed globally (any Python the shell finds via python3 works — verified working at version 1.64.0)
  • GEMINI_API_KEY set in the user's shell environment (e.g. exported in ~/.zshrc)

Steps

  1. Parse the arguments from $ARGUMENTS:

    • video path (required) — path to the video file
    • --prompt (optional) — custom analysis prompt; defaults to a structured-report prompt with anti-hallucination rules
    • --fps (optional) — custom frame sampling rate (useful for catching sub-second cuts in fast-paced footage)
    • --model (optional) — Gemini model ID; defaults to gemini-3-flash-preview
  2. Verify the video file exists at the given path. If not, report the error and stop.

  3. Run the analysis script using the absolute path to its install location:

bash
python3 ~/.claude/skills/video-analyzer/scripts/analyze_video.py $ARGUMENTS
  1. The script will:

    • Upload the video — inline for files ≤18MB, Files API for larger files (with up-to-300s polling for ACTIVE state)
    • Send the prompt to Gemini with the video attached
    • Print the full markdown report to stdout (info/progress lines go to stderr)
  2. Capture stdout and present the report to the user.

  3. If the script exits with an error, help the user troubleshoot:

    • Missing API key: confirm echo $GEMINI_API_KEY is non-empty in their shell. If it's only in ~/.zshrc, they may need to start a new terminal or source ~/.zshrc.
    • Unsupported format: must be one of mp4, mov, avi, webm, mpeg, mpg, wmv, 3gpp, 3gp, flv
    • Upload timeout: large file or slow connection — retry, or use a shorter clip
    • Model error / 404: try a different model with --model gemini-2.5-flash

Output

A markdown report printed to stdout with these sections:

  • Top-Level Summary — 2-3 sentence overview of what actually happens
  • Scene-by-Scene Breakdown — MM:SS timestamps for each cut/scene with on-screen content, actions, and verbatim text
  • Audio — verbatim transcript with timestamps, OR an honest "no audio / silent / ambient only" note (the prompt explicitly forbids inventing narrators)
  • Visual Details — on-screen text, UI elements, products, branding, people
  • Key Moments — 3-7 timestamped highlights a viewer would remember

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Video Analyzer AI skill do?

Analyzes a video file with Google Gemini and returns a structured markdown report covering top-level summary, scene-by-scene breakdown, audio transcript (or honest "silent" note), visual details, and key timestamped moments. Strong anti-hallucination guardrails — will not invent narrators, voiceovers, or speaker names. Use when you need to understand what actually happens in a video.

Why use Video Analyzer on TypingMind?

Because you install it once and use it with any model. Video Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mikefutia/claude-vision/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video Analyzer?

As many as you like. As long as a model supports skills, you can use Video Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video Analyzer AI skill free?

It is published on GitHub by mikefutia. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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