Repository
LAVARONG/wechat-automation-api agent skills
- skill
- 1
- GitHub stars
- 178
GitHub description: “微信 Windows 版自动化发送服务（支持 4.0+ 版本） 基于 Flask + uiautomation 的 HTTP API 服务，通过 UI 自动化控制微信客户端发送消息。 支持文本、图片、批量发送和队列管理。非 HOOK、非协议，安全可靠。已支持Agent Skill，可让openclaw安装。”
- Stars
- 178 (43 forks)
- Licence
- No licence
- Last push
- Sep 2026
- Created
- Oct 2025
- flask
- python
- uiautomation
- wechat-bot
- agent-skill
Install all skills
npx skills add LAVARONG/wechat-automation-apiAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in LAVARONG/wechat-automation-api, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 微信发信能力：通过 Windows 桌面微信发送文本、图片URL或本地文件。适合各类 Agent 在本机直接发送一次性消息。触发词：给[某人]发微信、通知[某人]、把这个用微信发给[某人]、用微信发个图片、把本地文件发给[某人] | LAVARONG/ | 178 | — | ~1.2k | Automated safety check: Pass | No licence | 20 days ago |
Questions, answered from the data.
What is the best skill in LAVARONG/wechat-automation-api?
Wechat Automation from LAVARONG/wechat-automation-api ranks first of the 1 skills in LAVARONG/wechat-automation-api listed here, with the highest score: its repository has 178 GitHub stars, its SKILL.md loads about 1.2k tokens and it passes the automated safety check with no findings.
Are the skills in LAVARONG/wechat-automation-api official?
None yet. All 1 skills in LAVARONG/wechat-automation-api listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from LAVARONG/wechat-automation-api?
Run npx skills add LAVARONG/wechat-automation-api in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.