Generate Xiaohongshu cover images via GPT Image 2 or Codex with Gemini CLI fallback.
npx skills add https://github.com/Vivixiao980/xhs-cover-skill --skill xhs-cover
Please help me install this Agent Skill. Skill: xhs-cover Source: https://github.com/Vivixiao980/xhs-cover-skill/tree/main Command: npx skills add https://github.com/Vivixiao980/xhs-cover-skill --skill xhs-cover
Generating Xiaohongshu covers manually is time-consuming and requires design skills; this skill automates cover production by prioritizing GPT Image 2 / Codex image generation with Gemini CLI as a fallback to deliver consistent results quickly.
Upload a photo and a title, then trigger 生成封面 with a preference for style to produce a Xiaohongshu cover.
High-intent search queries and answers about installing and using this skill.
To generate Xiaohongshu cover images automatically, upload a photo and a title, then trigger the generation command with a preferred style. The skill outputs ready-to-use covers by prioritizing GPT Image 2 and falling back to Gemini CLI.
Yes, you can use Gemini CLI as a fallback to generate Xiaohongshu covers for offline or scripting tasks. This supports multi-endpoint API options including Google Gemini or third-party proxies when primary generation endpoints are unavailable.
Yes, the Xiaohongshu cover generator supports custom styles alongside 18 built-in style templates. It applies style mapping during end-to-end generation to ensure visual consistency across campaigns and content series.
The best way to batch generate Xiaohongshu covers for campaigns is using the on-demand editing workflows and style learning features. This automates production by orchestrating GPT Image 2 or Codex with robust error handling for consistent results.
Yes, the sharp dependency is required for the Xiaohongshu cover generation process. The scripts component uses it to handle image processing tasks and ensure the final generated covers meet the required output specifications.
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