Yesterday, the #WeChat Reading Skill# entry suddenly made it to the top of the hot search list. The reason is simple: as long as users authorize their WeChat Reading account to AI, the smart assistant can help you look up books, organize your bookshelf, calculate habits, manage notes, and recommend good books — things that used to take a lot of manual effort can now be done with just one sentence.

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What exactly can this Skill do? In one sentence: turn your reading data into "conversable, analyzable, and reusable" intelligent assets. Specifically, it breaks down into six capabilities:

📚 **Bookshelf Lookup**: See your entire collection at a glance, no longer "regret not finding the book when you need it";

🔍 **Book Search**: Quickly locate your target in the bookstore, get the title, author, and rating with one click;

📊 **Reading Statistics**: Automatically analyze duration, days, and depth of preferences, making your reading habits "visible";

📖 **Book Details**: Chapter lists, reading progress, and content summaries, always accessible for review;

✍️ **Notes and Highlights**: Export key thoughts with one click, so your reading insights are no longer scattered;

✨ **Recommended Books**: Recommend booklists that truly match your real preferences.

The installation process is actually just two steps, much lower than expected:

1️⃣ **Deploy the Skill**: Visit the WeChat Reading Skill page (https://weread.qq.com/r/weread-skills), and send the command "Download https://cdn.weread.qq.com/skills/weread-skills.zip to install the skill" in tools like Tencent AI Assistant WorkBuddy. It can be completed in a few minutes;

2️⃣ **Bind Account**: Scan the code to log in to WeChat Reading and obtain your personal API Key, then configure it in WorkBuddy (supporting direct sending or through environment variables export WEREAD_API_KEY=xxx). After authorization, you can access your personal data.

After configuration, just ask a question like "Which books have I read this year?" or "Help me organize my bookshelf." If the AI returns accurate results, everything is ready.

Even more interesting is that this Skill really opens up space for "second creation" of reading data. For example, use these prompts to let AI help you deeply review:

▸ "Which books have I read this year? Please organize them into a table by month, type, and progress."

▸ "Quantify my reading habits: duration, days, frequently read types, continuity."

▸ "At which time of day do I mainly read? Classify by morning, afternoon, evening, and late night."

▸ "What was the longest period of continuous reading? Which book, and what time, days, and progress does it correspond to?"

▸ "Compare the last three months and the overall year, what changes have there been in my reading habits?"