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.