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0f6eabb890
Generates a full dedicated Docusaurus page for every one of the 132 skills
(73 bundled + 59 optional) under website/docs/user-guide/skills/{bundled,optional}/<category>/.
Each page carries the skill's description, metadata (version, author, license,
dependencies, platform gating, tags, related skills cross-linked to their own
pages), and the complete SKILL.md body that Hermes loads at runtime.
Previously the two catalog pages just listed skills with a one-line blurb and
no way to see what the skill actually did — users had to go read the source
repo. Now every skill has a browsable, searchable, cross-linked reference in
the docs.
- website/scripts/generate-skill-docs.py — generator that reads skills/ and
optional-skills/, writes per-skill pages, regenerates both catalog indexes,
and rewrites the Skills section of sidebars.ts. Handles MDX escaping
(outside fenced code blocks: curly braces, unsafe HTML-ish tags) and
rewrites relative references/*.md links to point at the GitHub source.
- website/docs/reference/skills-catalog.md — regenerated; each row links to
the new dedicated page.
- website/docs/reference/optional-skills-catalog.md — same.
- website/sidebars.ts — Skills section now has Bundled / Optional subtrees
with one nested category per skill folder.
- .github/workflows/{docs-site-checks,deploy-site}.yml — run the generator
before docusaurus build so CI stays in sync with the source SKILL.md files.
Build verified locally with `npx docusaurus build`. Only remaining warnings
are pre-existing broken link/anchor issues in unrelated pages.
89 lines
3.7 KiB
Markdown
89 lines
3.7 KiB
Markdown
---
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title: "Youtube Content"
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sidebar_label: "Youtube Content"
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description: "Fetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts)"
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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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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.
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## Skill metadata
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| Source | Bundled (installed by default) |
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| Path | `skills/media/youtube-content` |
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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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Extract transcripts from YouTube videos and convert them into useful formats.
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## Setup
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```bash
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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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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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python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only
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# With timestamps
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python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps
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# Specific language with fallback chain
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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`.
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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 `pip install youtube-transcript-api` and retry.
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