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.
DeepseekModel
官方收录技能
质量 优秀 · 78
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=mikefutia-claude-vision-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |