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Youtube content

Skill john-data-chen/hermes-agent-backup/skills/media/youtube-content

backup of hermes-agent

Install
npx -y skills add john-data-chen/hermes-agent-backup --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

  • 2 stars2 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

3.3 KB, 716 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

Use uv so the dependency is installed into the same Hermes-managed environment that runs the helper script:

uv 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
uv run python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"

# Plain text (good for piping into further processing)
uv run python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only

# With timestamps
uv run python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps

# Specific language with fallback chain
uv run 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 via uv run python3.
  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 uv pip install youtube-transcript-api and retry.

What ships with it: 2 files

5.2 KB alongside SKILL.md, 1 of them executable

references/

scripts/

Gives 0 of the 12 instructions most social media skills give in 716 tokens

Counted across 489 of the 492 authors here whose files we hold, read 2026-08-07

  • Adapt formats and tone to each platformin 26 of 489, across 14 files
  • Build content around three to five pillarsin 25 of 489, across 13 files
  • Read product marketing context before asking questionsin 23 of 489, across 13 files
  • Respond to all comments on your postsin 21 of 489, across 9 files
  • Use the output flag to specify an output directoryin 14 of 489, across 4 files
  • Generate output logo images with white backgroundin 13 of 489, across 4 files
  • Fix failing generation scripts directlyin 13 of 489, across 4 files
  • Ask user about HTML preview after logo generationin 12 of 489, across 3 files
  • Run the download script with a URLin 12 of 489, across 3 files
  • Implement exponential backoff for 429 responsesin 12 of 489, across 3 files
  • Write the hook firstin 12 of 489, across 7 files
  • Include a single clear call to actionin 12 of 489, across 9 files

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.

Keep looking

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