863401402

她不一样 恋情分析室 — 微信聊天记录恋爱分析 Agent Skill (曾用名:她爱我吗?)

253
28
69% credibility
Found Apr 15, 2026 at 255 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source tool that extracts and analyzes personal WeChat or QQ chat histories to provide psychological insights into romantic relationships and generates interactive HTML reports.

How It Works

1
🕵️ Discover the tool

You hear about a fun way to peek into your chat history and see if she really likes you back.

2
📥 Get it ready

Download the folder to your computer and make sure your chat app like WeChat or QQ is open and running.

3
Pick your chat app
💬
WeChat

Your everyday WeChat conversations get unlocked safely on your own computer.

🐧
QQ

Pull chats from QQ using a simple helper you set up once.

4
❤️ Choose her

See a list of your contacts sorted by how much you've chatted, and pick the one you want to analyze.

5
🔍 Watch the magic

It pulls all your private chats, crunches numbers on who texts first and how fast you reply, and spots patterns like cold spells or sweet moments.

6
🧠 Get smart insights

Using psychology ideas like love triangles and attachment styles, it explains your dynamic with tips and warnings about red flags.

📊 Your beautiful report

Open a stunning webpage full of charts, scores, and heartfelt advice to finally understand your relationship.

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Star Growth

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AI-Generated Review

What is she-love-me?

She-love-me is a Python tool that decrypts WeChat or QQ chat databases, extracts conversations, and runs local analysis to score romantic interest—like initiative (73%), loved (66%), and coldness (28%) indices—using psych frameworks such as attachment styles, Sternberg love triangle, and Gottman ratios. It spits out shareable HTML reports with charts, danger signals, and strategist advice, all without uploading data. Trigger it as an agent skill in tools like Claude Code, GitHub Copilot VSCode, or Cursor with a slash command like `/she-love-me`, or run scripts standalone.

Why is it gaining traction?

As a universal agent skills repo, it plugs into agent GitHub Copilot CLI, Claude, Cursor, and more—zero setup beyond cloning, unlike clunky chat analyzers needing manual exports. Devs love the layered sampling (recent 30 days, conflict peaks, repair moments) feeding AI for nuanced reads on "she is not in love with me" vibes, plus dual-threshold risk alerts that avoid hype. Privacy-first local processing beats cloud apps, and the HTML Wrapped-style output feels polished.

Who should use this?

Chinese developers on WeChat/QQ dating scenes, especially those in AI-heavy workflows with GitHub Copilot IntelliJ, VSCode agent skills, or Claude code sessions, needing quick post-chat reality checks. Ideal for backend folks scripting personal automations or frontend devs blending agent GitHub actions with relationship forensics.

Verdict

Grab it for fun, insightful chat autopsies—253 stars show niche appeal, solid docs guide agent skills Anthropic integrations, but 0.7% credibility flags early maturity; test on toy data first. Strong for solo use, less for production romance AI.

(198 words)

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