/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.

Kheish Compatibility

This skill is repo-local and stays inactive until explicitly activated.

When the original instructions refer to legacy tool names, use these Kheish mappings:

• `terminal` => `bash`
• `web_extract` => `web_fetch`, plus `web_search` when discovery is needed
• `search_files` => `grep_search` and `glob_search`
• `browser_*` tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly

When the instructions mention local helper files, resolve them from `${KHEISH_SKILL_DIR}`.

YouTube Content Tool

Extract transcripts from YouTube videos and convert them into useful formats.

Setup

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.

# 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.