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Tube Summary

tube summary

dillera0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install dillera/tube-summary

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

tube-summary

Search YouTube for videos on any topic, then extract and summarize their content using subtitles.

Quick Start

Step 1: Search for Videos

When asked about a topic, search YouTube and list the top 10 results:

python3 scripts/youtube-search.py "your search query"

This returns a numbered list of videos with titles, channels, and view counts.

Step 2: User Picks a Video

The user selects one video by number (e.g., "3" for the third video).

Step 3: Download Subtitles

Extract English subtitles from the selected video using yt-dlp:

yt-dlp --write-subs --sub-langs en --skip-download "VIDEO_URL"

This creates a .en.vtt subtitle file without downloading the video.

Step 4: Process & Summarize

Use the subtitle processor to analyze and summarize:

python3 scripts/process-subtitles.py "path/to/subtitle-file.vtt"

This generates:

  • Key Topics: Main subjects covered in the video
  • Summary: Concise 2-3 paragraph description of content
  • Timestamps: Notable moments with context
  • Key Quotes: Important statements from speakers

Workflow

  1. Search → youtube-search.py "<topic>" → Display top 10 videos
  2. User selects → e.g., "Video 5"
  3. Extract URL → From the search results
  4. Download subs → yt-dlp --write-subs --sub-langs en --skip-download "URL"
  5. Process → process-subtitles.py "subtitle.vtt"
  6. Present → Formatted summary with key points

Prerequisites

  • yt-dlp (install: pip install yt-dlp)
  • requests (for YouTube search fallback)
  • Python 3.7+

Notes

  • If YouTube search API is unavailable, the fallback uses web scraping via requests
  • Subtitles may be auto-generated if not manually authored
  • Some videos may not have English subtitles available
  • The subtitle file is created in the same directory as yt-dlp is run

Example Usage

User: "Tell me about Rust programming language"

→ Search returns 10 videos about Rust

User: "Summariz...

Source information

Source
github
Repository
openclaw/skills
Path
skills/dillera/tube-summary
Version
—
Commit
8229d90184d921d9235092ac601a6c91220510bd
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# tube-summary

Search YouTube for videos on any topic, then extract and summarize their content using subtitles.

## Quick Start

### Step 1: Search for Videos

When asked about a topic, search YouTube and list the top 10 results:

```bash
python3 scripts/youtube-search.py "your search query"
```

This returns a numbered list of videos with titles, channels, and view counts.

### Step 2: User Picks a Video

The user selects one video by number (e.g., "3" for the third video).

### Step 3: Download Subtitles

Extract English subtitles from the selected video using yt-dlp:

```bash
yt-dlp --write-subs --sub-langs en --skip-download "VIDEO_URL"
```

This creates a `.en.vtt` subtitle file without downloading the video.

### Step 4: Process & Summarize

Use the subtitle processor to analyze and summarize:

```bash
python3 scripts/process-subtitles.py "path/to/subtitle-file.vtt"
```

This generates:
- **Key Topics**: Main subjects covered in the video
- **Summary**: Concise 2-3 paragraph description of content
- **Timestamps**: Notable moments with context
- **Key Quotes**: Important statements from speakers

## Workflow

1. **Search** → `youtube-search.py "<topic>"` → Display top 10 videos
2. **User selects** → e.g., "Video 5"
3. **Extract URL** → From the search results
4. **Download subs** → `yt-dlp --write-subs --sub-langs en --skip-download "URL"`
5. **Process** → `process-subtitles.py "subtitle.vtt"`
6. **Present** → Formatted summary with key points

## Prerequisites

- `yt-dlp` (install: `pip install yt-dlp`)
- `requests` (for YouTube search fallback)
- Python 3.7+

## Notes

- If YouTube search API is unavailable, the fallback uses web scraping via requests
- Subtitles may be auto-generated if not manually authored
- Some videos may not have English subtitles available
- The subtitle file is created in the same directory as yt-dlp is run

## Example Usage

```
User: "Tell me about Rust programming language"

→ Search returns 10 videos about Rust

User: "Summariz...

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