Create Ex
perkfly/ex-skill
Distill an ex-girlfriend into an AI Skill. An agent skill from perkfly/ex-skill.
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]
Install Wechat Automation
$ npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LAVARONG/wechat-automation-api wechat-automation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "wechat-automation" agent skill from https://github.com/LAVARONG/wechat-automation-api/tree/main into .claude/skills/wechat-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-automation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LAVARONG/wechat-automation-api wechat-automation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wechat-automation" agent skill from https://github.com/LAVARONG/wechat-automation-api/tree/main into .agents/skills/wechat-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-automation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LAVARONG/wechat-automation-api wechat-automation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "wechat-automation" agent skill from https://github.com/LAVARONG/wechat-automation-api/tree/main into .cursor/skills/wechat-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-automation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LAVARONG/wechat-automation-api wechat-automation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "wechat-automation" agent skill from https://github.com/LAVARONG/wechat-automation-api/tree/main into .gemini/skills/wechat-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-automation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LAVARONG/wechat-automation-api wechat-automationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "wechat-automation" agent skill from https://github.com/LAVARONG/wechat-automation-api/tree/main into .github/skills/wechat-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-automation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LAVARONG/wechat-automation-api wechat-automation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "wechat-automation" agent skill from https://github.com/LAVARONG/wechat-automation-api/tree/main into .opencode/skills/wechat-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-automation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
wechat-automation- GitHub stars
- 181
- Token cost
- ~1.2k tokens
- SKILL.md length
- 280 words
- Files
- 28 (incl. scripts)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
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]
- Works in 4 steps: Windows 10/11，微信 PC 客户端已启动并登录。 → 在项目根目录安装依赖：pip install -r… → Agent 执行本 Skill 时，工作目录应为本项目根目录，确保 python… → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers 应用场景, 典型触发语句, 作为 Skill 调用的规范指令 and 执行模式与结果判定, plus 5 more sections
- Runs Batch and Python scripts from its folder; calls python and pip
What it does
Wechat Automation is an agent skill from LAVARONG/wechat-automation-api. 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]
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 32 other files, including scripts (for example `README.md`, `docs/2603/11项目Skill化重构.md` and `docs/2605/30队列调度优化.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat, Flask and Python. The repository describes itself as: 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。
When your agent uses it
- Tasks that involve Messaging and chat bots
Example prompts
- “/wechat-automation”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Windows 10/11，微信 PC 客户端已启动并登录。
- 在项目根目录安装依赖：pip install -r requirements.txt。
- Agent 执行本 Skill 时，工作目录应为本项目根目录，确保 python scripts/skill_cli.py ... 可以找到 scripts/wechat_controller.py。
- 不要为普通发消息任务启动后台 HTTP API；HTTP API 只用于长期服务、队列和外部系统集成。
What it can do on your machine
Read from SKILL.md and the folder at commit a9f426e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Batch and Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Wechat Automation loads about 1.2k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 280 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 280 words (~1,238 tokens).
- name
- wechat-automation
Files
SKILL.md and 27 other files (scripts) in the repository root of LAVARONG/wechat-automation-api.
- SKILL.md
- .cursorrules
- .gitignore
- README.md
- config.json.example
- disconnect_rdp.bat
- docs/2603/11项目Skill化重构.md
- docs/2605/30队列调度优化.md
- docs/2609/18微信4.x升级兼容与控件定位优化.md
- docs/changelog.md
- examples/README.md
- examples/monitor_wechat_messages.py
- examples/wx.py
- requirements.txt
- run.bat
- scripts
- … and 12 more
Open the folder on GitHubat commit a9f426e
Compare with similar skills
Wechat Automation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Wechat Automation this skillLAVARONG/wechat-automation-api | 181 | — | ~1.2k | Automated safety check: Pass | None | |
| Create Experkfly/ex-skill | 2.5k | — | ~3.7k | Automated safety check: Notes | MIT | |
| Wechat Article Searchnexus-research-lab/nexus | 151 | — | ~858 | Automated safety check: Notes | Apache-2.0 | |
| Legal Text Formatcat-xierluo/legal-skills | 720 | — | ~1.3k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Wechat Account Analyzerredfox-data/redfox-community | 427 | — | ~1.4k | Automated safety check: Pass | None | |
| Wechat Prohibited Wordredfox-data/redfox-community | 427 | — | ~1.3k | Automated safety check: Pass | None |
Similar skills
Wechat Article Search
nexus-research-lab/nexus
搜索微信公众号文章，并整理标题、摘要、发布时间、来源公众号和链接。用户提到微信公众号、 公众号文章、微信文章、搜一批公众号资料、按关键词找公众号内容、查某公众号相关报道， 或需要为中文研究收集微信公众平台文章时使用；即使用户只说“搜微信里的文章”也应触发。
Legal Text Format
cat-xierluo/legal-skills
将法律文本（法律条文或法律案例）转换为规范的 Markdown 格式，删除推广冗余信息。本技能应在用户需要处理法律条文（如民法典、刑法等）、整理法律案例（如最高法典型案例、裁判文书等）、或从粘贴文本中格式化法律文档时使用。注意：本技能只负责格式化和内容清理，不包含内容抓取能力。内容获取应由其他 skill（如 wechat-article-fetch）完成，AI 会自动判断技能协作顺序。内置…
Wechat Account Analyzer
redfox-data/redfox-community
公众号账号诊断工具是对任意公众号账号进行四维度量化评分（内容健康度、用户活跃度、内容核心数据、运营规范性），对标行业平均水平，输出可落地的运营优化建议。
Wechat Prohibited Word
redfox-data/redfox-community
扫描公众号文案、文件或网页中的违禁词与敏感表述，标注风险并提供合规替换建议，帮你安全过审、避免删文限流. An agent skill from redfox-data/redfox-community.
Wechat Search
redfox-data/redfox-community
公众号搜索工具，支持按关键词搜索爆款文章，展示推荐热门文章，助力内容创作者把握趋势与获取灵感；当用户需要搜索公众号文章、查找爆款内容、获取创作灵感时使用
Related
Categories
Questions about Wechat Automation
What does Wechat Automation do?
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]. Wechat Automation is an agent skill from LAVARONG/wechat-automation-api.
When should I use Wechat Automation?
Wechat Automation fits situations like: tasks that involve Messaging and chat bots.
How do I install Wechat Automation in Claude Code?
Run `npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a claude-code`. Or copy the skill folder (the LAVARONG/wechat-automation-api repository) into .claude/skills/wechat-automation in your project. Claude Code loads it when a task matches its description.
How do I install Wechat Automation in Codex?
Run `npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a codex`. Or copy the skill folder (the LAVARONG/wechat-automation-api repository) into .agents/skills/wechat-automation in your project. Codex loads it when a task matches its description.
Can I use Wechat Automation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LAVARONG/wechat-automation-api --skill wechat-automation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wechat-automation, .gemini/skills/wechat-automation, .github/skills/wechat-automation and .opencode/skills/wechat-automation in your project.
What does Wechat Automation need to run?
Going by SKILL.md and its folder, Wechat Automation needs Windows cmd and Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Wechat Automation access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Wechat Automation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Wechat Automation use?
No licence was found for Wechat Automation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Wechat Automation use?
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Wechat Automation?
Skills that share tags, products or a category with Wechat Automation: Create Ex (perkfly/ex-skill, 2.5k stars), Wechat Article Search (nexus-research-lab/nexus, 151 stars), Legal Text Format (cat-xierluo/legal-skills, 720 stars) and Wechat Account Analyzer (redfox-data/redfox-community, 427 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wechat Automation?
LAVARONG (a GitHub user) maintains it in LAVARONG/wechat-automation-api, which has 181 GitHub stars. The repository was last updated on September 18, 2026.
Source: LAVARONG/wechat-automation-api on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.