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WeChat Reading

WeChat Reading (微信读书) is Tencent’s e-reading platform, popular among Chinese readers. In 2026, it launched an official Skill that lets AI coding agents access your reading data: bookshelf, notes, highlights, reading time, and preference analysis.

What the Skill unlocks

Instead of waiting for an annual reading report, you can ask an AI agent to analyze your reading history on demand:
  • Reading reports: Generate personalized analysis of reading time distribution, genre preferences, author patterns, and weekly/monthly rhythms.
  • Book reviews: Pull all your highlights and notes from a finished book, and generate a structured review.
  • Knowledge cards: Extract key ideas from your highlights and format them as shareable cards with original quotes.
  • Obsidian export: Convert a book’s highlights and thoughts into an Obsidian-formatted note with frontmatter, tags, and chapter organization.
  • Bookshelf Q&A: Ask questions like “What should I read next based on my history?” or “What themes have I been exploring recently?”

The pipeline

The Skill bridges three tools into a reading-to-knowledge pipeline:
What this enables:
  • Auto-generate one note file per book
  • AI auto-tagging and bidirectional links
  • Topic-based MOC (Map of Content) index pages
  • Incremental merge of new highlights into existing notes

Supported agents

The Skill works with:
  • Qwen Code (recommended by most users)
  • Claude Code
  • Cursor
  • Any agent that supports Skill installation
Qwen Code is preferred because it runs in the terminal, can write files and run scripts directly — one command generates an Obsidian note or visualization report.

Setup

  1. Install a supported coding agent (e.g. Qwen Code)
  2. Get your WeChat Reading API key from weread.qq.com
Then tell your agent:
Optionally add: 帮我配置好环境,记住 API,让我之后不需要再配置 to persist the API key. Once installed, verify with:

Example use cases

Explore reading patterns:
Review highlights from a specific book:
Generate a book review:
Export to Obsidian:
Find material for writing:

Community Skills

Beyond the official Skill, community members have built additional tools. For example, Yao’s Weread Skill generates detailed visual reading reports with charts and analytics. Install it with:
Then run:

References

Last modified on July 1, 2026