Rechercher

PythonReactSEOPDF
OpenClaw

Tube Summary

tube summary

dillera0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install dillera/tube-summary

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/dillera/tube-summary
Version
—
Commit
8229d90184d921d9235092ac601a6c91220510bd
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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...

Skills associés

OpenClaw

ai-maestro

23blocks-os

AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between c...

OpenClaw

registry-broker-skills

hashgraph-online

AI agent skills for the Universal Registry - search, chat, and register 72,000+ agents across 14+ protocols. Works with Claude, Codex, Cursor, OpenClaw, and any AI assistant.

OpenClaw

skills-manager

rito-w

A cross-platform skills manager for AI IDEs. Search marketplace, download locally, and install to Claude, Cursor, Windsurf, and more with one click.