forked from Zakaria/hermes-agent
Zakaria
97 lines
3.9 KiB
Markdown
97 lines
3.9 KiB
Markdown
---
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title: "Youtube Content — YouTube transcripts to summaries, threads, blogs"
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sidebar_label: "Youtube Content"
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description: "YouTube transcripts to summaries, threads, blogs"
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---
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{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
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# Youtube Content
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YouTube transcripts to summaries, threads, blogs.
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## Skill metadata
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|---|---|
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| Source | Bundled (installed by default) |
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| Path | `skills/media/youtube-content` |
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| Platforms | linux, macos, windows |
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## Reference: full SKILL.md
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:::info
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The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.
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:::
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# YouTube Content Tool
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## When to use
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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).
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Extract transcripts from YouTube videos and convert them into useful formats.
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## Setup
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Use `uv` so the dependency is installed into the same Hermes-managed environment
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that runs the helper script:
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```bash
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uv pip install youtube-transcript-api
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```
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## Helper Script
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`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.
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```bash
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# JSON output with metadata
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uv run python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"
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# Plain text (good for piping into further processing)
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uv run python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only
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# With timestamps
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uv run python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps
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# Specific language with fallback chain
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uv run python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --language tr,en
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```
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## Output Formats
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After fetching the transcript, format it based on what the user asks for:
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- **Chapters**: Group by topic shifts, output timestamped chapter list
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- **Summary**: Concise 5-10 sentence overview of the entire video
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- **Chapter summaries**: Chapters with a short paragraph summary for each
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- **Thread**: Twitter/X thread format — numbered posts, each under 280 chars
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- **Blog post**: Full article with title, sections, and key takeaways
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- **Quotes**: Notable quotes with timestamps
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### Example — Chapters Output
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```
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00:00 Introduction — host opens with the problem statement
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03:45 Background — prior work and why existing solutions fall short
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12:20 Core method — walkthrough of the proposed approach
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24:10 Results — benchmark comparisons and key takeaways
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31:55 Q&A — audience questions on scalability and next steps
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```
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## Workflow
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1. **Fetch** the transcript using the helper script with `--text-only --timestamps` via `uv run python3`.
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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.
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3. **Chunk if needed**: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
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4. **Transform** into the requested output format. If the user did not specify a format, default to a summary.
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5. **Verify**: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.
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## Error Handling
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- **Transcript disabled**: tell the user; suggest they check if subtitles are available on the video page.
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- **Private/unavailable video**: relay the error and ask the user to verify the URL.
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- **No matching language**: retry without `--language` to fetch any available transcript, then note the actual language to the user.
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- **Dependency missing**: run `uv pip install youtube-transcript-api` and retry.
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