MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It simplifies cover design for non-designers by embedding design logic into a structured prompt pipeline, reducing the need for manual prompt crafting.
Who it is for
- Content creators who need consistent article covers
- AI agent users (Claude Code, Codex) seeking ready-made skills
- Developers integrating prompt-based design into workflows
Use cases
- Generate social media covers from article text
- Automate cover creation for blog posts or newsletters
- Create branded cover templates with fixed styles
Strengths
- Three-round questioning reduces user effort while gathering all necessary inputs
- 10 on-demand style templates cover diverse content types
- Built-in example prompt library enables few-shot learning for better output
- Fixed 3:4 portrait aspect ratio with defined safety zones ensures consistent results
Considerations
- Requires image generation models that support multiple reference images (e.g., Seedream, GPT-Image)
- Outputs only text prompts, not actual images
- First-time configuration needs a clear face photo and model selection
README quick start
安装
Description
公众号/小红书封面提示词生成 skill：3:4 竖版、10 种构图风格、三轮提问、真人出镜人脸一致性
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