Initial commit of OpenClaw agent Chloe
This commit is contained in:
7
skills/youtube-watcher/.clawhub/origin.json
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7
skills/youtube-watcher/.clawhub/origin.json
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{
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"version": 1,
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"registry": "https://clawhub.ai",
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"slug": "youtube-watcher",
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"installedVersion": "1.0.0",
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"installedAt": 1772431862704
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}
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48
skills/youtube-watcher/SKILL.md
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skills/youtube-watcher/SKILL.md
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---
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name: youtube-watcher
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description: Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
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author: michael gathara
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version: 1.0.0
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triggers:
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- "watch youtube"
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- "summarize video"
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- "video transcript"
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- "youtube summary"
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- "analyze video"
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metadata: {"clawdbot":{"emoji":"📺","requires":{"bins":["yt-dlp"]},"install":[{"id":"brew","kind":"brew","formula":"yt-dlp","bins":["yt-dlp"],"label":"Install yt-dlp (brew)"},{"id":"pip","kind":"pip","package":"yt-dlp","bins":["yt-dlp"],"label":"Install yt-dlp (pip)"}]}}
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---
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# YouTube Watcher
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Fetch transcripts from YouTube videos to enable summarization, QA, and content extraction.
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## Usage
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### Get Transcript
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Retrieve the text transcript of a video.
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```bash
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python3 {baseDir}/scripts/get_transcript.py "https://www.youtube.com/watch?v=VIDEO_ID"
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```
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## Examples
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**Summarize a video:**
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1. Get the transcript:
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```bash
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python3 {baseDir}/scripts/get_transcript.py "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
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```
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2. Read the output and summarize it for the user.
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**Find specific information:**
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1. Get the transcript.
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2. Search the text for keywords or answer the user's question based on the content.
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## Notes
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- Requires `yt-dlp` to be installed and available in the PATH.
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- Works with videos that have closed captions (CC) or auto-generated subtitles.
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- If a video has no subtitles, the script will fail with an error message.
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6
skills/youtube-watcher/_meta.json
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skills/youtube-watcher/_meta.json
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{
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"ownerId": "kn70xwv21y5gnsycry0shkye6d7zx8jz",
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"slug": "youtube-watcher",
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"version": "1.0.0",
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"publishedAt": 1769327779866
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}
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skills/youtube-watcher/scripts/get_transcript.py
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skills/youtube-watcher/scripts/get_transcript.py
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#!/usr/bin/env python3
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import argparse
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import os
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import re
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import subprocess
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import sys
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import tempfile
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from pathlib import Path
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def clean_vtt(content: str) -> str:
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"""
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Clean WebVTT content to plain text.
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Removes headers, timestamps, and duplicate lines.
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"""
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lines = content.splitlines()
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text_lines = []
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seen = set()
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timestamp_pattern = re.compile(r'\d{2}:\d{2}:\d{2}\.\d{3}\s-->\s\d{2}:\d{2}:\d{2}\.\d{3}')
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for line in lines:
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line = line.strip()
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if not line or line == 'WEBVTT' or line.isdigit():
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continue
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if timestamp_pattern.match(line):
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continue
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if line.startswith('NOTE') or line.startswith('STYLE'):
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continue
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if text_lines and text_lines[-1] == line:
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continue
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line = re.sub(r'<[^>]+>', '', line)
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text_lines.append(line)
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return '\n'.join(text_lines)
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def get_transcript(url: str):
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with tempfile.TemporaryDirectory() as temp_dir:
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cmd = [
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"yt-dlp",
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"--write-subs",
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"--write-auto-subs",
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"--skip-download",
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"--sub-lang", "en",
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"--output", "subs",
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url
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]
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try:
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subprocess.run(cmd, cwd=temp_dir, check=True, capture_output=True)
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except subprocess.CalledProcessError as e:
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print(f"Error running yt-dlp: {e.stderr.decode()}", file=sys.stderr)
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sys.exit(1)
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except FileNotFoundError:
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print("Error: yt-dlp not found. Please install it.", file=sys.stderr)
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sys.exit(1)
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temp_path = Path(temp_dir)
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vtt_files = list(temp_path.glob("*.vtt"))
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if not vtt_files:
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print("No subtitles found.", file=sys.stderr)
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sys.exit(1)
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vtt_file = vtt_files[0]
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content = vtt_file.read_text(encoding='utf-8')
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clean_text = clean_vtt(content)
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print(clean_text)
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def main():
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parser = argparse.ArgumentParser(description="Fetch YouTube transcript.")
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parser.add_argument("url", help="YouTube video URL")
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args = parser.parse_args()
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get_transcript(args.url)
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if __name__ == "__main__":
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main()
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