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wechat-message▌

tiancheng91/wechat-msg-send · updated Apr 8, 2026

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$npx skills add https://github.com/tiancheng91/wechat-msg-send --skill wechat-message
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summary

此技能通过 AppleScript 脚本实现 macOS 上微信消息的自动化发送。

skill.md

微信消息发送技能

此技能通过 AppleScript 脚本实现 macOS 上微信消息的自动化发送。

功能概述

  • 自动激活微信应用
  • 搜索指定联系人或群组
  • 发送指定消息内容
  • 支持中文和特殊字符

使用方法

调用方式

osascript scripts/wechat_automation_script.applescript "<用户名>" "<消息内容>"

参数说明

参数 必填 说明
用户名 是 微信联系人名称或群名称，需完全匹配
消息内容 是 要发送的消息文本

使用示例

# 发送消息给好友
osascript scripts/wechat_automation_script.applescript "张三" "你好，今天有空吗？"

# 发送消息到群组
osascript scripts/wechat_automation_script.applescript "工作群" "大家好！"

# 发送包含中文的消息
osascript scripts/wechat_automation_script.applescript "Yatocala" "hello你好"

工作流程

  1. 激活微信 - 将微信窗口置于最前
  2. 打开搜索 - 使用 Cmd+F 打开联系人搜索框
  3. 搜索联系人 - 粘贴用户名并选择第一个匹配结果
  4. 定位输入框 - 通过 Tab 键和点击确保焦点在输入框
  5. 发送消息 - 粘贴消息内容并按回车发送
  6. 隐藏窗口 - 发送完成后隐藏微信窗口

注意事项

  • 微信必须已登录 - 执行前确保微信应用已登录
  • 联系人名称需精确匹配 - 搜索时会选择第一个匹配结果
  • 执行时间约 15 秒 - 脚本包含多个延时以确保稳定性
  • 需要辅助功能权限 - 首次使用需授予 System Events 辅助功能权限

权限配置

如果脚本执行失败，请检查以下权限：

  1. 系统偏好设置 → 安全性与隐私 → 隐私
  2. 选择 辅助功能
  3. 确保以下应用已添加并勾选：
    • Terminal（或你使用的终端应用）
    • System Events

故障排除

问题 可能原因 解决方案
消息未发送 焦点未在输入框 检查 Tab 键次数是否足够
搜索不到联系人 名称不匹配 确认联系人名称完全一致
脚本执行中断 权限不足 检查辅助功能权限
发送中文乱码 编码问题 确保终端使用 UTF-8 编码

文件结构

wechat-message/
├── SKILL.md                              # 主说明文档
├── template.md                           # 消息模板
├── examples/
│   └── sample.md                         # 使用示例
└── scripts/
    └── wechat_automation_script.applescript  # AppleScript 脚本
how to use wechat-message

How to use wechat-message on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add wechat-message
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tiancheng91/wechat-msg-send --skill wechat-message

The skills CLI fetches wechat-message from GitHub repository tiancheng91/wechat-msg-send and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/wechat-message

Reload or restart Cursor to activate wechat-message. Access the skill through slash commands (e.g., /wechat-message) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.4★★★★★48 reviews
  • ★★★★★Camila Khan· Dec 24, 2024

    Keeps context tight: wechat-message is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Dhruvi Jain· Dec 16, 2024

    We added wechat-message from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Advait Chen· Dec 16, 2024

    wechat-message is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Hana Haddad· Dec 16, 2024

    I recommend wechat-message for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Luis Anderson· Nov 15, 2024

    wechat-message is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Oshnikdeep· Nov 7, 2024

    wechat-message reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Omar Khanna· Nov 7, 2024

    Keeps context tight: wechat-message is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Harper Khanna· Nov 7, 2024

    wechat-message fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Ganesh Mohane· Oct 26, 2024

    wechat-message is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Aditi Sanchez· Oct 26, 2024

    We added wechat-message from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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