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WeChat Messaging via weixin-agent-cli

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Send and reply on WeChat with JSON-first agent automation.

Content & Communication#messaging#polling#wechat#json output#context token#media sending#ai agent automation
AuthorGinurx
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you reliably automate WeChat messaging for AI agents by turning the WeChat send/receive flow into predictable JSON outputs you can feed into your agent loop.

Core Features & Use Cases

  • Poll for incoming messages (single or continuous): Retrieve completed user messages as JSON, or stream them as NDJSON in watch mode.
  • Reply with context-safe sending: Automatically cache and reuse the required context token by polling before sending.
  • Send rich content: Send text, media (image/video/file) with MIME routing by extension, and typing indicators to improve conversational UX.
  • Multi-account support: Operate with one or many logged-in bot accounts by selecting the appropriate account ID.

Use case: build an agent that continuously listens to a customer’s chat, processes each incoming message, and replies with text and optionally an attached image/document using a single terminal-friendly interface.

Quick Start

Use the Skill to poll for messages, then send a reply text to the sender using the received context.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: WeChat Messaging via weixin-agent-cli
Download link: https://github.com/Ginurx/weixin-agent-cli/archive/main.zip#wechat-messaging-via-weixin-agent-cli

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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