video-analyzer✓ ناجح
Analyze video content by extracting frames at regular intervals. Use when you need to understand what's in a video file, review video content, analyze scenes, or describe video without being able to play it directly. Supports MP4, MOV, AVI, MKV, and other common video formats.
// تثبيت المهارة
تثبيت المهارة
المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.
تثبيت عام (على مستوى المستخدم):
npx skillhub install openclaw/skills/video-analyzerتثبيت في المشروع الحالي:
npx skillhub install openclaw/skills/video-analyzer --projectskill.install.customTargetHelp
npx skillhub install openclaw/skills/video-analyzer --target-dir /path/to/skillsالمسار المقترح: ~/.claude/skills/video-analyzer/
محتوى SKILL.md
---
name: video-analyzer
description: Analyze video content by extracting frames at regular intervals. Use when you need to understand what's in a video file, review video content, analyze scenes, or describe video without being able to play it directly. Supports MP4, MOV, AVI, MKV, and other common video formats.
---
# Video Analyzer
Analyze video files by extracting frames at 1-second intervals using ffmpeg, then examining the frames to understand the video content.
## Prerequisites
Requires `ffmpeg` installed on the system. Install if missing:
```bash
# Ubuntu/Debian
sudo apt-get install -y ffmpeg
# macOS
brew install ffmpeg
```
## Usage
### Extract frames from video
```bash
scripts/extract_frames.sh <video_path> [output_dir] [fps]
```
**Arguments:**
- `video_path` (required): Path to the video file
- `output_dir` (optional): Directory for extracted frames. Default: creates `frames_<video_name>` in current directory
- `fps` (optional): Frames per second to extract. Default: 1 (one frame per second)
**Example:**
```bash
scripts/extract_frames.sh /path/to/video.mp4
scripts/extract_frames.sh /path/to/video.mp4 ./my_frames
scripts/extract_frames.sh /path/to/video.mp4 ./my_frames 2 # 2 frames per second
```
**Output:**
- Creates numbered frame images: `frame_001.jpg`, `frame_002.jpg`, etc.
- Prints video metadata (duration, resolution, frame count)
## Workflow
1. Run `extract_frames.sh` on the video file
2. Read key frames using the `read` tool to view images
3. For comprehensive analysis, sample frames at regular intervals (e.g., every 5th frame)
4. Describe what you see in each frame to build understanding of the video
## Tips
- For short videos (<1 min): Review all frames
- For medium videos (1-5 min): Sample every 3-5 frames
- For long videos (>5 min): Sample every 10+ frames, focus on scene changes
- Look for: scene transitions, text/titles, UI elements, actions, characters
الترخيص
الترخيص المُعلن: MIT
MIT License
Copyright (c) 2026 openclaw
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.عرض الترخيص في المستودع المصدري — النسخة المنشورة هناك هي المرجع.
// تثبيت المهارة
تثبيت المهارة
المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.
تثبيت عام (على مستوى المستخدم):
npx skillhub install openclaw/skills/video-analyzerتثبيت في المشروع الحالي:
npx skillhub install openclaw/skills/video-analyzer --projectskill.install.customTargetHelp
npx skillhub install openclaw/skills/video-analyzer --target-dir /path/to/skillsالمسار المقترح: ~/.claude/skills/video-analyzer/