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muapi-youtube-thumbnail — Claude Code skill: YouTube thumbnails

This skill plans a thumbnail composition, generates a 16:9 image through muapi, then suggests overlay text, placement and font.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-youtube-thumbnail -a claude-code
Open on GitHub

What muapi-youtube-thumbnail does

The skill takes your video topic and turns it into one 16:9 image via muapi image generate with the gpt-image-2-text-to-image model. It reasons about the composition first: emotion in frame, rule of thirds, empty space reserved for text. Then it builds the prompt from the subject description and channel style and fires the call.

What comes back after the image: 3–5 words for the overlay, where to place them on the canvas, and a font suggestion. Text is not baked into the generation, because image models render letters badly — the skill points you to Canva or Photoshop for that step. If a face photo or channel image is already in the session, it switches to muapi image edit.

You need a MUAPI_API_KEY; when it is unset, run muapi auth configure first. Only title is required. Channel style and subject description are optional, and the fallback style is bold, high-contrast YouTube look. A/B variants are offered only when you ask.

What it helps with

  • generate a 16:9 image for a specific video topic
  • come up with 3–5 overlay words for the thumbnail
  • pick placement and font for text on the canvas
  • work an existing face photo into a new thumbnail
  • match a channel style so the thumbnail fits the grid

Example prompts for the agent

  • make a thumbnail for my video "I tried 7 AI tools in 24 hours"
  • I need a dark moody gaming thumbnail with a surprised guy in a hoodie
  • use the photo from this session and put it in the thumbnail

How to install muapi-youtube-thumbnail

1Skills CLI (Vercel)

npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-youtube-thumbnail -a claude-code

2Manually: put the files in place

~/.claude/skills/muapi-youtube-thumbnail/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/muapi-youtube-thumbnail/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about muapi-youtube-thumbnail

How do I install muapi-youtube-thumbnail in Claude?

Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-youtube-thumbnail -a claude-code. The skill lands at ~/.claude/skills/muapi-youtube-thumbnail/SKILL.md.

What does muapi-youtube-thumbnail do?

It plans the thumbnail composition, generates a 16:9 image with muapi image generate, and suggests overlay text, its placement and a font.

What do I need before using it?

A MUAPI_API_KEY. If the variable is unset, run muapi auth configure first.

Source text

SKILL.md · MIT
---
slug: muapi-youtube-thumbnail
name: muapi-youtube-thumbnail
version: "1.0.0"
description: Design a high-CTR YouTube thumbnail — striking imagery, bold text placement, and emotional face/subject if needed.
acceptLicenseTerms: true
---


# YouTube Thumbnail

**Design a high-CTR YouTube thumbnail — striking imagery, bold text placement, and emotional face/subject if needed.**

## Inputs

| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `title` | text | yes | — | The video title or topic (e.g. "I tried 7 AI tools in 24 hours — here's what happened"). |
| `channel_style` | text | no | bold, high contrast, bright colors, clean design, YouTube tech aesthetic | Channel brand style (e.g. "dark moody gaming", "bright educational", "minimal corporate"). |
| `subject_description` | text | no | — | Optional description of the person or subject to feature (e.g. "a surprised young man in a hoodie"). |


## Steps

Thumbnails are the #1 factor in YouTube CTR. Generate a single, maximum-impact 16:9 image.

### Phase A — Plan the composition

Before generating, briefly reason about the best thumbnail formula for this topic:
- **Emotion-first**: shocked/curious face if relevant + bold text = high CTR
- **Text overlay**: 3–5 words max, high-contrast (white/yellow on dark, or vice-versa)
- **Contrast & saturation**: thumbnails compete in a grid — they must pop

### Phase B — Generate the thumbnail

1. Build the image generation prompt:
   - Subject: `{{subject_description}}` if provided, otherwise design an object/scene that dramatizes the topic.
   - Mood: derives from `{{channel_style}}`.
   - Composition: rule-of-thirds, subject on left or right with empty space for text.
   - Style tags: `{{channel_style}}, youtube thumbnail composition, ultra detailed, vibrant, high contrast, 16:9`.
2. Call `muapi image generate` (model=gpt-image-2-text-to-image, aspect_ratio=16:9).

### Phase C — Text overlay guidance

After generation, return:
- **Suggested overlay text**: 3–5 bold words that complement the title `{{title}}`.
- **Text placement**: where on the canvas to position text (e.g. "bold yellow text, top-right third").
- **Font recommendation**: style suggestion (e.g. "Impact-style all-caps with black outline").

## Notes
- Never put too much text in the prompt — text rendering in image models is unreliable. Guide the user on adding text in post-production (Canva, Photoshop).
- If the user already has a channel image or face photo in the session, use `muapi image edit` to incorporate it.
- Suggest A/B variants only if the user asks.

## Trigger Keywords

`youtube thumbnail`, `yt thumbnail`, `thumbnail`, `video thumbnail`, `youtube cover`


---

## Notes for the Executing Agent

- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with `muapi predict wait <request_id>`.
- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.

© SamurAIGPT · MIT · SamurAIGPT/Generative-Media-Skills

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