media-youtube-content
Skill15 starsChanged 8 days agoMITView on GitHub
YouTube transcripts to summaries, threads, blogs.
- Installs packages
In this repository86 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
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 …
- Distinctive: line 40
After fetching the transcript, format it based on what the user asks for:
- Distinctive: line 63
Chunk if needed: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk …
- Very specific: line 72
Dependency missing: run pip install youtube-transcript-api and retry.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
YouTube Content Tool
When to use
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. Transforms transcripts into structured content (chapters, summaries, threads, blog posts).
Extract transcripts from YouTube videos and convert them into useful formats.
Setup
pip install youtube-transcript-apiHelper 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,enOutput 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 stepsWorkflow
- Fetch the transcript using the helper script with
--text-only --timestamps. - Validate: confirm the output is non-empty and in the expected language. If empty, retry without
--languageto get any available transcript. If still empty, tell the user the video likely has transcripts disabled. - Chunk if needed: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
- Transform into the requested output format. If the user did not specify a format, default to a summary.
- 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
--languageto fetch any available transcript, then note the actual language to the user. - Dependency missing: run
pip install youtube-transcript-apiand retry.
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