Youtube content

Skill S3YED/appie-kit/skills/misc/youtube-content

Build Your Own AI Employee. The complete starter kit for OpenClaw + Hermes Agent. 155 deduplicated skills, drag-and-drop workspace, case studies, install scripts.

Install

npx -y skills add S3YED/appie-kit --skill youtube-content

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

6 stars6 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.

What its author says it does

Copied from the file, not written here

YouTube transcripts to summaries, threads, blogs.

SKILL.md

3.1 KB, 676 tokens by cl100k_base, as published. Nobody here has run it

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-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.