Youtube insights

Skill momomuchu/youtube-insights

Extract transcripts and key insights from YouTube videos. Handles single or multiple URLs. Uses yt-dlp for reliable transcript extraction, supports all languages. Actions: get transcript, summarize video, extract insights, analyze video. Triggers on: YouTube URL, 'insight video', 'resume video', 'transcript', 'what does this video say'.From its SKILL.md

Install

npx -y skills add momomuchu/youtube-insights

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.0 KB, 623 tokens by cl100k_base, as published. Nobody here has run it

YouTube Insights

Extract transcripts and deliver structured insight summaries from YouTube videos.

When to Use

User shares a YouTube URL and wants insights, summary, or transcript
User says "get me the insight of this video", "resume cette video", "what's in this video"
User shares multiple YouTube URLs to analyze
Any request involving YouTube video content extraction

Prerequisites

yt-dlp must be installed and in PATH (check with where yt-dlp or which yt-dlp)
Python 3.x available

Workflow

Step 1: Extract Transcripts

For EACH YouTube URL provided, run the extraction script in parallel (one agent per video if multiple):

python "C:\Users\momomuchu\.claude\skills\youtube-insights\scripts\get-transcript.py" "<youtube-url>"

The script returns JSON with: video_id, title, channel, duration, upload_date, view_count, description, transcript.

If the script fails or transcript is empty, try specifying languages:

python "C:\Users\momomuchu\.claude\skills\youtube-insights\scripts\get-transcript.py" "<youtube-url>" "fr,en"

Step 2: Analyze & Summarize

For each video, produce a structured insight summary using this format:

## [Video Title] — [Channel Name]

**Duration:** X min | **Views:** X | **Date:** YYYY-MM-DD

### Key Insights
- [Insight 1 — the most important, actionable takeaway]
- [Insight 2]
- [Insight 3]
- [...]

### What to Take Away
[2-3 sentences: what's personally actionable for the user based on their context/projects]

### Notable Quotes
> "[Direct quote from transcript that captures a key point]"

Rules

Parallel extraction — if multiple URLs, launch all transcript downloads simultaneously
Language detection — the script auto-tries en, fr, es, de, pt, ja, ko, zh. French videos will get French transcripts
Insight focus — don't just summarize chronologically. Extract the NON-OBVIOUS insights, frameworks, numbers, and actionable advice
User context — if memory has info about the user's projects/goals, connect insights to what matters to them
Be concise — max 10 bullet points per video. Quality over quantity
Numbers matter — always extract specific metrics, revenue numbers, conversion rates, timeframes
Frameworks — if the speaker shares a step-by-step framework, extract it as a numbered list
Warnings — if the speaker warns against something, flag it clearly
Skip filler — ignore sponsor segments, self-promotion, "like and subscribe" content

What ships with it: 4 files

12.4 KB alongside SKILL.md, 1 of them executable

scripts/

get-transcript.pyruns5.5 KB

.gitignore24 B
LICENSE1.0 KB
README.md5.8 KB

Gives 0 of the 12 instructions most video audio skills give in 623 tokens

Counted across 622 of the 795 authors here whose files we hold, read 2026-08-07

Read individual rule files for detailed explanationsin 21 of 622, across 10 files
Render final videoin 13 of 622, across 6 files
Use WAV PCM 16kHz mono audio formatin 12 of 622, across 3 files
Use this skill when dealing with Remotion codein 11 of 622, across 4 files
Save generated audio to a WAV filein 11 of 622, across 4 files
Handle conversion errors gracefullyin 10 of 622, across 6 files
Add captions to videos alwaysin 10 of 622, across 4 files
Generate music from text descriptions using MusicGenin 9 of 622, across 2 files
Do not skip pipeline layersin 9 of 622, across 3 files
Do not make one tool do everythingin 9 of 622, across 3 files
Use Azure Document Intelligence for complex PDFsin 9 of 622, across 4 files
Never ask the user to paste their full API keyin 9 of 622, across 3 files

Said here and by no other author read

Launch multiple transcript downloads simultaneously
Produce a structured insight summary for each video
Extract non-obvious insights instead of summarizing chronologically
Connect insights to user context if known
Limit to ten bullet points per video
Extract specific metrics, revenue numbers, and conversion rates

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.