JuneYaooo

JuneYaooo / xhs-writer-skill

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小红书爆款笔记生成器，基于gpt-image-2，强力超快生成，自然语言修改，超好用！

claude-code-skills xhs-skill xhs-writer xiaohongshu-skills
11
3
100% credibility
Found Apr 27, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project is a skill for AI assistants that generates complete, viral-style Xiaohongshu posts including vertical image cards, captions, and hashtags from user topics, projects, or materials.

How It Works

1
🔍 Discover the Helper

You stumble upon this friendly tool that turns your ideas or projects into eye-catching posts for the Little Red Book social app.

2
📥 Add to Your AI Buddy

You simply tell your AI assistant like Claude to install it, and it sets everything up in seconds.

3
🔗 Connect Picture Magic (Optional)

Link a picture-creating service so your posts get custom images that look just right, or skip for simple designs.

4
💬 Share Your Idea

Chat with your AI: share a project link, topic, or your own photos, and ask it to make a viral post.

5
✨ Watch It Create

Your AI studies trends, picks the best highlights, and crafts beautiful vertical cards with catchy words and visuals.

📱 Get Post-Ready Files

You receive a neat folder of ready-to-upload images, captions, and tags – just post and enjoy the likes pouring in!

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Star Growth

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AI-Generated Review

What is xhs-writer-skill?

This Python skill for Claude Code and OpenClaw agents automates generating viral Xiaohongshu (XHS) notes from a GitHub project link or topic plus screenshots. It scans your materials, analyzes sell points with a rarity x utility formula, dissects trending posts, and outputs 6-7 ready-to-publish 9:16 vertical cards via gpt-image-2, plus captions and hashtags. Developers get a one-stop pipeline to turn repos into authentic, "素人感" social content without manual design.

Why is it gaining traction?

It prioritizes your real project screenshots—enhancing them over fabricating AI images—for credible, high-engagement posts that mimic top XHS hits. Five battle-tested title formulas (pain-point, question, etc.) and quick iteration via natural language feedback make outputs tunable and effective. Agent integration lets you prompt in plain Chinese, skipping clunky UIs for instant, structured results.

Who should use this?

Open source maintainers promoting Python tools to Chinese audiences on XHS. Indie SaaS builders turning GitHub demos into product shares or good-object recommendations. Tech content creators drafting knowledge pop-ups or tool reviews with minimal effort.

Verdict

At 11 stars and 1.0% credibility, it's early-stage with thin adoption, but polished docs, live demos, and Apache 2.0 license lower the risk—install via bash script and test on your next repo promo. Worth it for XHS-focused devs; skip if you're not targeting that platform.

(198 words)

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