xiaoheizi8

xiaoheizi8 / crush-skills

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与其迷恋幻影，不如迷恋Crush。欢迎加入数字永生！Inspired by colleague-skill（同事skill）.

38
5
69% credibility
Found Apr 05, 2026 at 38 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of tools and prompts to generate personalized AI chat personas mimicking a crush's speech and memories from imported chat logs, photos, and social data for personal reflection.

How It Works

1
🔍 Discover the Tool

You find a special tool that lets you recreate conversations with someone you have a crush on using their real chats and photos.

2
📥 Set It Up

You easily add the tool to your AI chat helper so it's ready to use anytime.

3
💕 Start Creating

Give a fun nickname, share a quick intro, and describe their personality in your own words.

4
📸 Share Memories

Upload chat histories, photos, and social posts to help capture their unique way of talking and special moments.

5
✨ Build the Persona

The tool studies everything and crafts a digital version that talks just like them.

6
💬 Chat Away

Start a conversation with your recreated crush, practicing replies or reliving sweet memories.

😍 Heartfelt Companion

You now have a private, safe space to chat, reflect on feelings, and smile at those fluttering moments anytime.

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AI-Generated Review

What is crush-skills?

Crush-skills is a Python toolkit for distilling real chat logs, photos, and social media into custom crush agent skills for Claude Code. Feed it WeChat or QQ exports, photo directories, or personality notes, and it generates interactive AI personas that chat like your crush—catchphrases, memories, and all. Developers get a CLI-driven workflow to create, list, chat with, or delete these crush skills via simple commands like `/create-crush` or `/{slug}`.

Why is it gaining traction?

It stands out by parsing niche formats like WeChat and QQ chats or photo EXIF data, turning raw personal scraps into nuanced, relationship-aware crush CLI skills no generic LLM prompt can match. The hook? Local data processing keeps everything private, with version management for tweaking personas without losing history—perfect for iterative emotional simulations. At 38 stars, it's niche but hooks Claude Code users experimenting with agent skills.

Who should use this?

Claude Code power users building personal AI companions from real interactions, like devs replaying crushes for closure or dialog practice. AI tinkerers distilling personas from messy Chinese social exports. Python scripters wanting crush skills as a template for custom agent behaviors.

Verdict

Fun proof-of-concept for crush skills, with solid bilingual docs and MIT license, but 38 stars and 0.7% credibility score signal early-stage maturity—expect rough edges in edge cases. Try it if you're into Python agent experiments; skip for production.

(178 words)

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