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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.

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name video-analyzer description 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. argument-hint <path/to/video.mp4> [--prompt "..."] [--fps N] [--model ...] disable-model-invocation true allowed-tools Bash, Read 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 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 Verify the video file exists at the given path. If not, report the error and stop. Run the analysis script using the absolute path to its install location: python3 ~/.claude/skills/video-analyzer/scripts/analyze_video.py $ARGUMENTS 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) Capture stdout and present the report to the user. 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
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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