wechat-desktop-sender

Windows WeChat desktop automation for opening chats and sending messages. Use when the user wants to open 微信桌面端, search a contact or group, send a message, send the same message to multiple contacts/groups in serial batch mode, or send personalized messages where each recipient gets different content. Best for direct desktop WeChat messaging workflows like 文件传输助手 testing, one-to-one outreach, 串行群发, and名单驱动个性化发送. Not for browser WeChat,朋友圈 scraping, or reliable historical-message forwarding.

Safety Notice

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Install skill "wechat-desktop-sender" with this command: npx skills add jinhuadeng/wechat-desktop-sender

wechat-desktop-sender

Use this skill for Windows 微信桌面端发消息 workflows.

What this skill provides

Bundled scripts:

  • scripts/wechat_send.py — formal single-send command entry
  • scripts/wechat_send_hello.py — core implementation (open WeChat, search chat, send, verify)
  • scripts/wechat_send_batch.py — serial batch sender for multiple contacts/groups
  • scripts/wechat_send_campaign.py — personalized serial sender (different message per contact)
  • scripts/wechat_send_template_campaign.py — template-variable sender (same template, different row values)

Quick start

Install dependencies:

pip install pywinauto pyperclip psutil pywin32 pillow pytesseract

pytesseract is optional. Install it only if OCR verification is needed.

Single send

python scripts/wechat_send.py --to "文件传输助手" --message "你好"

Useful flags:

python scripts/wechat_send.py --to "李义" --message "我是龙虾Koi,打个招呼。" --verify-title
python scripts/wechat_send.py --to "文件传输助手" --message "OCR测试" --ocr-verify

Serial batch send

python scripts/wechat_send_batch.py --to "张三,李四,文件传输助手" --message "晚上 8 点开会"

Or from file:

python scripts/wechat_send_batch.py --contacts-file contacts.txt --message "晚上 8 点开会"

Personalized send

python scripts/wechat_send_campaign.py --csv contacts_messages.csv --verify-title
python scripts/wechat_send_campaign.py --json contacts_messages.json --verify-title

Template-variable send

python scripts/wechat_send_template_campaign.py --csv template_contacts.csv --template "{name}你好,我是Koi,关于{company}这边和你打个招呼。" --verify-title

Recommended workflow

  1. Ensure WeChat desktop is logged in
  2. Test on 文件传输助手 first
  3. Use single-send for one contact/group
  4. Use batch-send for serial outreach
  5. Check wechat_automation_logs/ for logs and summaries

Verification model

Current verification layers:

  1. UI element location succeeded
  2. Message was sent through the input box
  3. Window text verification checks whether the message text appears in current WeChat window
  4. Optional OCR verification if --ocr-verify is enabled and OCR deps are installed

Treat this as practical desktop automation, not a cryptographic delivery guarantee.

Boundaries

Do not claim support for these unless separately extended:

  • Moments / 朋友圈 scraping
  • Reliable historical message forwarding
  • Multi-window true parallel sending
  • Full desktop social graph extraction

Files and outputs

By default, scripts create logs under:

wechat_automation_logs/

Outputs may include:

  • run logs
  • failure screenshots
  • control-tree dumps
  • batch summary JSON files

OpenClaw workflow usage

Once this skill is installed, the user can express intent conversationally and the agent should route to the correct script:

  • “给张三发一句话:今晚 8 点开会” → use single-send
  • “给这 20 个人发同一条消息” → use batch-send
  • “按这份名单分别发不同文案” → use personalized-send
  • “按这份名单套一个模板变量群发” → use template-variable send

Preferred operational pattern:

  1. Normalize the recipient list and message payload
  2. If one recipient and one message → scripts/wechat_send.py
  3. If many recipients and same message → scripts/wechat_send_batch.py
  4. If many recipients and different messages → scripts/wechat_send_campaign.py
  5. If many recipients share one template with per-row fields → scripts/wechat_send_template_campaign.py
  6. Report success count, verification count, retry recommendations, and log/summary paths back to the user

When to read more

For detailed CLI usage and arguments, read:

  • references/single-send.md
  • references/batch-send.md
  • references/personalized-send.md
  • references/template-send.md

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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