Sync all skills and memories 2026-04-14 07:27

skills/media/youtube-content/SKILL.md

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+---
+name: youtube-content
+description: >
+  Fetch YouTube video transcripts and transform them into structured content
+  (chapters, summaries, threads, blog posts). Use when the user shares a YouTube
+  URL or video link, asks to summarize a video, requests a transcript, or wants
+  to extract and reformat content from any YouTube video.
+---
+
+# YouTube Content Tool
+
+Extract transcripts from YouTube videos and convert them into useful formats.
+
+## Setup
+
+```bash
+pip install youtube-transcript-api
+```
+
+## Helper Script
+
+`SKILL_DIR` is the directory containing this SKILL.md file. The script accepts any standard YouTube URL format, short links (youtu.be), shorts, embeds, live links, or a raw 11-character video ID.
+
+```bash
+# JSON output with metadata
+python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"
+
+# Plain text (good for piping into further processing)
+python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only
+
+# With timestamps
+python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps
+
+# Specific language with fallback chain
+python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --language tr,en
+```
+
+## Output Formats
+
+After fetching the transcript, format it based on what the user asks for:
+
+- **Chapters**: Group by topic shifts, output timestamped chapter list
+- **Summary**: Concise 5-10 sentence overview of the entire video
+- **Chapter summaries**: Chapters with a short paragraph summary for each
+- **Thread**: Twitter/X thread format — numbered posts, each under 280 chars
+- **Blog post**: Full article with title, sections, and key takeaways
+- **Quotes**: Notable quotes with timestamps
+
+### Example — Chapters Output
+
+```
+00:00 Introduction — host opens with the problem statement
+03:45 Background — prior work and why existing solutions fall short
+12:20 Core method — walkthrough of the proposed approach
+24:10 Results — benchmark comparisons and key takeaways
+31:55 Q&A — audience questions on scalability and next steps
+```
+
+## Workflow
+
+1. **Fetch** the transcript using the helper script with `--text-only --timestamps`.
+2. **Validate**: confirm the output is non-empty and in the expected language. If empty, retry without `--language` to get any available transcript. If still empty, tell the user the video likely has transcripts disabled.
+3. **Chunk if needed**: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
+4. **Transform** into the requested output format. If the user did not specify a format, default to a summary.
+5. **Verify**: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.
+
+## Error Handling
+
+- **Transcript disabled**: tell the user; suggest they check if subtitles are available on the video page.
+- **Private/unavailable video**: relay the error and ask the user to verify the URL.
+- **No matching language**: retry without `--language` to fetch any available transcript, then note the actual language to the user.
+- **Dependency missing**: run `pip install youtube-transcript-api` and retry.

skills/media/youtube-content/references/output-formats.md

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+# Output Format Examples
+
+## Chapters
+
+```
+00:00 Introduction
+02:15 Background and motivation
+05:30 Main approach
+12:45 Results and evaluation
+18:20 Limitations and future work
+21:00 Q&A
+```
+
+## Summary
+
+A 5-10 sentence overview covering the video's main points, key arguments, and conclusions. Written in third person, present tense.
+
+## Chapter Summaries
+
+```
+## 00:00 Introduction (2 min)
+The speaker introduces the topic of X and explains why it matters for Y.
+
+## 02:15 Background (3 min)
+A review of prior work in the field, covering approaches A, B, and C.
+```
+
+## Thread (Twitter/X)
+
+```
+1/ Just watched an incredible talk on [topic]. Here are the key takeaways: 🧵
+
+2/ First insight: [point]. This matters because [reason].
+
+3/ The surprising part: [unexpected finding]. Most people assume [common belief], but the data shows otherwise.
+
+4/ Practical takeaway: [actionable advice].
+
+5/ Full video: [URL]
+```
+
+## Blog Post
+
+Full article with:
+- Title
+- Introduction paragraph
+- H2 sections for each major topic
+- Key quotes (with timestamps)
+- Conclusion / takeaways
+
+## Quotes
+
+```
+"The most important thing is not the model size, but the data quality." — 05:32
+"We found that scaling past 70B parameters gave diminishing returns." — 12:18
+```

skills/media/youtube-content/scripts/fetch_transcript.py

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+#!/usr/bin/env python3
+"""
+Fetch a YouTube video transcript and output it as structured JSON.
+
+Usage:
+    python fetch_transcript.py <url_or_video_id> [--language en,tr] [--timestamps]
+
+Output (JSON):
+    {
+        "video_id": "...",
+        "language": "en",
+        "segments": [{"text": "...", "start": 0.0, "duration": 2.5}, ...],
+        "full_text": "complete transcript as plain text",
+        "timestamped_text": "00:00 first line\n00:05 second line\n..."
+    }
+
+Install dependency:  pip install youtube-transcript-api
+"""
+
+import argparse
+import json
+import re
+import sys
+
+
+def extract_video_id(url_or_id: str) -> str:
+    """Extract the 11-character video ID from various YouTube URL formats."""
+    url_or_id = url_or_id.strip()
+    patterns = [
+        r'(?:v=|youtu\.be/|shorts/|embed/|live/)([a-zA-Z0-9_-]{11})',
+        r'^([a-zA-Z0-9_-]{11})$',
+    ]
+    for pattern in patterns:
+        match = re.search(pattern, url_or_id)
+        if match:
+            return match.group(1)
+    return url_or_id
+
+
+def format_timestamp(seconds: float) -> str:
+    """Convert seconds to HH:MM:SS or MM:SS format."""
+    total = int(seconds)
+    h, remainder = divmod(total, 3600)
+    m, s = divmod(remainder, 60)
+    if h > 0:
+        return f"{h}:{m:02d}:{s:02d}"
+    return f"{m}:{s:02d}"
+
+
+def fetch_transcript(video_id: str, languages: list = None):
+    """Fetch transcript segments from YouTube.
+
+    Returns a list of dicts with 'text', 'start', and 'duration' keys.
+    Compatible with youtube-transcript-api v1.x.
+    """
+    try:
+        from youtube_transcript_api import YouTubeTranscriptApi
+    except ImportError:
+        print("Error: youtube-transcript-api not installed. Run: pip install youtube-transcript-api",
+              file=sys.stderr)
+        sys.exit(1)
+
+    api = YouTubeTranscriptApi()
+    if languages:
+        result = api.fetch(video_id, languages=languages)
+    else:
+        result = api.fetch(video_id)
+
+    # v1.x returns FetchedTranscriptSnippet objects; normalize to dicts
+    return [
+        {"text": seg.text, "start": seg.start, "duration": seg.duration}
+        for seg in result
+    ]
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Fetch YouTube transcript as JSON")
+    parser.add_argument("url", help="YouTube URL or video ID")
+    parser.add_argument("--language", "-l", default=None,
+                        help="Comma-separated language codes (e.g. en,tr). Default: auto")
+    parser.add_argument("--timestamps", "-t", action="store_true",
+                        help="Include timestamped text in output")
+    parser.add_argument("--text-only", action="store_true",
+                        help="Output plain text instead of JSON")
+    args = parser.parse_args()
+
+    video_id = extract_video_id(args.url)
+    languages = [l.strip() for l in args.language.split(",")] if args.language else None
+
+    try:
+        segments = fetch_transcript(video_id, languages)
+    except Exception as e:
+        error_msg = str(e)
+        if "disabled" in error_msg.lower():
+            print(json.dumps({"error": "Transcripts are disabled for this video."}))
+        elif "no transcript" in error_msg.lower():
+            print(json.dumps({"error": f"No transcript found. Try specifying a language with --language."}))
+        else:
+            print(json.dumps({"error": error_msg}))
+        sys.exit(1)
+
+    full_text = " ".join(seg["text"] for seg in segments)
+    timestamped = "\n".join(
+        f"{format_timestamp(seg['start'])} {seg['text']}" for seg in segments
+    )
+
+    if args.text_only:
+        print(timestamped if args.timestamps else full_text)
+        return
+
+    result = {
+        "video_id": video_id,
+        "segment_count": len(segments),
+        "duration": format_timestamp(segments[-1]["start"] + segments[-1]["duration"]) if segments else "0:00",
+        "full_text": full_text,
+    }
+    if args.timestamps:
+        result["timestamped_text"] = timestamped
+
+    print(json.dumps(result, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()