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01 · Category

What the MCP returns at this step

139 · Marketing · Content Repurposing

HyperFX YouTube Content Workflow

Plan transcript-based summaries, video packaging and thumbnails through HyperFX; no video is downloaded or uploaded by loading this guide.

hyperyoutubeinhaltyoutube

HyperFX — YouTube Content Operations · Original SKILL.md

---
name: youtube
description: Work with YouTube content end to end — fetch transcripts and turn them into summaries, blog posts, social content, quotes, or show notes; create high-CTR thumbnails (with the user's face from an upload), clone the style of top-ranking thumbnails; and produce SEO-optimised titles + descriptions. Use when the user pastes a YouTube URL, wants to repurpose video content, research competitor videos, make or refresh a thumbnail, or package a video for upload.
use_cases:
  - Get the transcript of a YouTube video
  - Summarize a YouTube video or extract key points without watching
  - Turn a video into a blog post, LinkedIn post, or show notes
  - Pull verbatim quotes with timestamps
  - Generate a YouTube thumbnail from a video idea, transcript, or YouTube URL
  - Research the top-performing thumbnails for a search term and clone their style
  - Add the user's face (uploaded as an image) to a thumbnail
  - Produce an SEO-optimised title set and description for an upcoming video
triggers:
  - youtube
  - youtube transcript
  - youtube video
  - video summary
  - repurpose video
  - show notes
  - thumbnail
  - youtube thumbnail
  - thumbnail clone
  - SEO titles
  - video description
  - youtube title
requires_toolkits:
  - youtube_toolkit
suggested_toolkits:
  - image_gen
  - sandbox
  - file_manager
icon: youtube
short_description: Fetch transcripts, repurpose video content, and create thumbnails for YouTube.
---

# YouTube

Fetch the full transcript of any YouTube video and turn it into whatever the user needs — summaries, blog posts, social content, quotes, show notes, or raw text. Then package videos for upload: high-CTR thumbnails, SEO titles, and descriptions.

## Routing

| User intent | Where to go |
| --- | --- |
| Transcript, summary, repurposing, quotes, chapters | This guide (below) |
| Thumbnails, style cloning, SEO titles/descriptions | `references/thumbnails.md` |

## Requirements

- **Hyper MCP installed.** [https://app.hyperfx.ai/mcp](https://app.hyperfx.ai/mcp)
- **Sandbox text workflows:** require `ai_functions_run` in the connected catalog and the sandbox toolkit. These scripts run inline LLM calls through the sandbox tool bridge.
- **YouTube toolkit enabled** at [https://app.hyperfx.ai/apps](https://app.hyperfx.ai/apps) — provides `youtube_video_transcripts_fetch` and `youtube_videos_read`.
- Thumbnail workflows additionally need the image generation and sandbox toolkits.

If `search("youtube_video_transcripts_fetch")` does not find `youtube_video_transcripts_fetch`, stop and tell the user to enable the YouTube toolkit in Hyper.

### How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

| Surface | Find a tool | Run it |
| --- | --- | --- |
| MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call("<name>", {...})` |
| Hyper CLI | `hyperai search "<what you want to do>"`, then `hyperai describe <name>` | `hyperai call <name> --json '{...}'` |

If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.

## Two tools — pick the right one

| Tool | When to use | Returns |
| --- | --- | --- |
| `youtube_video_transcripts_fetch` | You need the raw transcript text or timestamped segments. Fast, reliable, always get this first. | Full text string + segments with start/duration timestamps |
| `youtube_videos_read` | You need AI-powered extraction from the video — summaries, Q&A, topic segmentation, translation, visual descriptions. | Free-form answer to your instruction |

**Default: start with `youtube_video_transcripts_fetch`.** Use `youtube_videos_read` when you need something the raw text can't give you (e.g. visual descriptions, translation, or a structured extraction from a very long video).

## Critical rules

1. **`youtube_video_transcripts_fetch` takes 15–30 seconds.** It spins up an isolated sandbox. Tell the user it's running and to expect a short wait — don't make them think it's stuck.
2. **Both video IDs and full URLs are accepted.** `"NZLAdOL9fP8"` and `"https://www.youtube.com/watch?v=NZLAdOL9fP8"` both work.
3. **Don't fabricate transcript content.** Always fetch before summarizing. Never rely on training knowledge about what a specific video says.
4. **Very long videos (>2 hours):** `youtube_video_transcripts_fetch` handles these fine. Only use `youtube_videos_read` on long videos if you specifically need AI-powered extraction — it can hit token limits on very long content.
5. **No transcript available:** Some videos have transcripts disabled. If `youtube_video_transcripts_fetch` fails, try `youtube_videos_read` as a fallback — it uses a different extraction method.

## Fetching the transcript

```python
youtube_video_transcripts_fetch(
    video_id_or_url="https://www.youtube.com/watch?v=NZLAdOL9fP8",
    language="en"   # optional — omit to auto-detect
)
```

**Response structure:**

```json
{
  "success": true,
  "video_id": "NZLAdOL9fP8",
  "language": "English (auto-generated)",
  "text": "Full transcript as one string...",
  "segments": [
    { "text": "This week we launched Hyper MCP.", "start": 0.0, "duration": 3.2 },
    { "text": "It brings Hyper's built-in tools...", "start": 3.2, "duration": 4.1 }
  ],
  "total_duration": 342.0
}
```

Use `text` for most tasks. Use `segments` when you need timestamps (e.g. chapters, clip references, karaoke captions).

## Using youtube_videos_read for AI-powered extraction

```python
youtube_videos_read(
    url="https://www.youtube.com/watch?v=NZLAdOL9fP8",
    instruction="Summarize the key points. Then list the main features demonstrated, with timestamps."
)
```

Good `instruction` examples:
- `"Extract every claim made about pricing or cost."`
- `"List the action items mentioned, in order."`
- `"Translate this to Spanish."`
- `"What tools or products does the speaker mention by name?"`
- `"Identify the main sections of this video and give me a timestamp for each."`

## What to do with the transcript

Once you have the text, ask the user what they need — or infer it from context:

| What the user wants | What to produce |
| --- | --- |
| Blog post | Restructure the transcript into intro → sections → CTA. Clean up filler words. Add subheadings. |
| LinkedIn / Twitter post | Extract the 1–2 sharpest insights. Rewrite in first person if it's the user's own video. |
| Summary | 3–5 bullet points of key takeaways. |
| Show notes / description | Title, 2-sentence summary, timestamped chapters, links mentioned. |
| Quote extraction | Pull verbatim quotes with `start` timestamps from the segments array. |
| Repurpose for email | Rewrite as a narrative email — opening hook, key insight, CTA. |
| Research / competitive analysis | Summarize what the speaker claims, what products they recommend, and what pain points they describe. |

## Thumbnails and SEO packaging

For making or refreshing thumbnails, cloning the style of top-ranking thumbnails, adding the user's face, and generating SEO titles/descriptions, read `references/thumbnails.md`. Every thumbnail workflow is a sandbox script under `scripts/` (`generate_thumbnail.py`, `research_top_thumbnails.py`, `clone_top_thumbnail_style.py`) — the reference doc is the routing table and the rules for using them.

## Example outputs

**Input:** `"Get the transcript of https://www.youtube.com/watch?v=NZLAdOL9fP8 and write a LinkedIn post from it"`

**Flow:**
1. Call `youtube_video_transcripts_fetch(video_id_or_url="https://www.youtube.com/watch?v=NZLAdOL9fP8")`
2. Read the returned `text`
3. Identify the 1–2 sharpest moments — what's surprising, useful, or quotable
4. Draft a LinkedIn post in the speaker's voice (first person) with a hook and a clear point

**Input:** `"Summarize this video for me: [URL]"`

**Flow:**
1. Call `youtube_video_transcripts_fetch(video_id_or_url="[URL]")`
2. Return 4–6 bullet points of key takeaways, without padding or filler

**Input:** `"Make me a thumbnail like the top videos for 'AI agents'"`

**Flow:**
1. Read `references/thumbnails.md`
2. Run `scripts/clone_top_thumbnail_style.py` with `query="AI agents"` and the user's topic
3. Show the top thumbnails, let the user pick a rank, re-run with `chosen_rank` to generate

## Related skills

| When to hand off | Skill |
| --- | --- |
| Mining comments from YouTube videos for customer research | [`customer-research`](../customer-research) |
| Finding top YouTube videos by topic | Use `youtube_videos_search_top` directly |
| Generating video content | [`video-generation`](../video-generation) |

For title options, descriptions and thumbnail concepts, run `generate_seo_titles.py`, `generate_seo_description.py` and `analyze_thumbnail_concepts.py` under `scripts/`. They call `ai_functions_run` from the sandbox using fetched transcript and video context. Follow the output contracts in `references/packaging-schemas.json`; the thumbnail reference explains the workflow.

When to use

Plan transcript-based summaries, video packaging and thumbnails through HyperFX; no video is downloaded or uploaded by loading this guide.

What you get

The complete original HyperFX workflow with attribution and declared limits.

How it works

Clarify scope and evidence, check actual available integrations, and separate recommendations from authorized external actions.

Requirements

Video URL or authorized transcript, intended reuse, verified speaker context, asset rights and available tools.

Delivery and review notes

Transcript access does not grant unlimited reproduction rights. Preserve quote context, avoid fabricated content, and use authorized likenesses; thumbnail CTR claims are untested. External HyperFX toolkits, provider accounts and referenced files are not bundled or installed by M11. M11 supplies read-only source text, not those execution tools. Brief obvious-danger screening only; no functional test or comprehensive safety certification.

Starting prompt

Use HyperFX YouTube Content Workflow for [TASK]. Clarify Video URL or authorized transcript, intended reuse, verified speaker context, asset rights and available tools. Check the actual provider/tool contract. Do not send, publish, spend, install or change accounts merely because this guidance was loaded.

Not for

Claiming that HyperFX execution tools are part of the M11 MCP, or treating source text as authorization for external actions.

What M11 added

German routing, connector distinction and actual-action boundaries. Original attribution: hyperfx.ai. Transcript access does not grant unlimited reproduction rights. Preserve quote context, avoid fabricated content, and use authorized likenesses; thumbnail CTR claims are untested. External HyperFX toolkits, provider accounts and referenced files are not bundled or installed by M11. M11 supplies read-only source text, not those execution tools. Brief obvious-danger screening only; no functional test or comprehensive safety certification.

Original authorship remains with hyperfx-ai/marketing-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 hyperfx.ai

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 43785c14b9c0d6b1d0a9ec0ef12ae97f76116054aec6ebddea0da3ee6e74f165
Snapshot checked: 2026-09-28T16:40:52.960Z

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