muapi-youtube-thumbnail
Design a high-CTR YouTube thumbnail — striking imagery, bold text placement, and emotional face/subject if needed.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-11
- Stars
- ★ 1.6k
- Forks
- 474
01 前言 Front Matter
- name
- muapi-youtube-thumbnail
- slug
- 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
03 SKILL.md 正文
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
- 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.
- Subject:
- 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 editto 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
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
04 同仓库更多 Skills
migrate-to-e2e
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e2e
Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.
create-verification-skill
Generate a project-local verify-<app> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for /create-verification-skill, "make a verification skill for this repo", or when a project has no scripted way to prove UI behavior.
deja-search
deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.
deja-reflect
End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.
revid
Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.