YouTube Video Thumbnail Maker

Specific Problems Addressed

YouTubers often struggle to create thumbnails that effectively attract clicks and convey information. A successful thumbnail must have a clear focal point, visual hierarchy, and complement the video title while maintaining the channel's brand consistency. Manual design is time-consuming and may lack YouTube-specific optimizations, leading to ineffective thumbnails.

Core Capabilities and Workflow

This skill addresses these issues through an AI-driven design process. Key capabilities include:
- Multi-Direction Generation: Based on user inputs like topics, titles, and keyframes, it generates three distinct thumbnail directions with varied subjects, crops, and curiosity gaps—not just color variations of the same layout.
- Title Matching Suggestions: Provides advice on aligning the thumbnail with the title to enhance click-through rates.
- Channel Consistency Rules: Outputs a reusable rule to ensure visual coherence across multiple videos.

The workflow involves critical steps:
1. Input and Brief: Users must provide a topic or proposed title as mandatory input, with optional keyframes, portraits, etc. The skill first creates a brief outlining parameters like subject, assets, and canvas.
2. Direction Generation: Describes three clearly different directions in text, recommends one, and explains its relationship to the title.
3. Payment Confirmation: Displays the full prompt, API call details (e.g., beatra.images.transform or generate), canvas settings (e.g., 2K, 16:9), model behavior, cost estimates, and other specifics. Rendering proceeds only after user approval.
4. Execution and Delivery: Uses the bundled MCP Client to interact with Beatra APIs, generates images, polls task status via beatra.tasks.get, and delivers the thumbnail with real information (e.g., artifact links, dimensions, format), title matching suggestions, and channel rules.

Rendering is powered by the Beatra platform, requiring a valid account with credits. Prices and maximum costs are displayed before confirmation.

Applicability Boundaries and Notes

• Scope: Designed exclusively for YouTube thumbnails of long videos. For other platforms like Bilibili or Redbook, use the corresponding dedicated skills (e.g., bilibili-thumbnail-maker); otherwise, indicate it's out of scope.
• Payment Model: Planning and direction generation are free, but image generation, edits, or parameter changes (e.g., source images, prompts) incur charges based on real-time model usage.
• Text Rendering Limitations: When users request text in the image, AI models may not perfectly replicate fonts and positions; errors require additional paid calls. It's recommended to leave a clean title safe area for manual adjustment in editing software.
• Asset Requirements: Keyframes must be provided as files, not extracted from videos; all factual information from users (e.g., names, numbers, credentials) must be accurate and solely from user input.
• Task Management: Use beatra.tasks.get to poll tasks, and save task IDs; for errors or state changes, follow the re-confirmation process instead of replaying requests.