How do I install the Youtube Content skill?

Run npx skillmds@latest add robomotionio/youtube-content in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Youtube Content safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Youtube Content?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Youtube Content free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Youtube Content?

robomotionio (@robomotionio) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Youtube Content by robomotionio — Agent Skill

Name: Youtube Content
Author: robomotionio

Youtube Content

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.

robomotionio 2909ea6 3 files · 8.3 KB Updated Sep 17, 2026

File contents

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

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 --language to 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 --language to fetch any available transcript, then note the actual language to the user.
Dependency missing: run pip install youtube-transcript-api and retry.

---name: youtube-contentdescription: 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.license: MIT---# YouTube Content ToolExtract transcripts from YouTube videos and convert them into useful formats.## Setup```bashpip 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 metadatapython3 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 timestampspython3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps# Specific language with fallback chainpython3 SKILL_DIR/scripts/fetch_transcript.py "URL" --language tr,en```## Output FormatsAfter 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 statement03:45 Background — prior work and why existing solutions fall short12:20 Core method — walkthrough of the proposed approach24:10 Results — benchmark comparisons and key takeaways31:55 Q&A — audience questions on scalability and next steps```## Workflow1. **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.

Frequently asked questions