⚠️ 最终输出是 PNG 图片，不是 HTML。确保 --output 参数使用 .png 后缀。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwechat-daily-reportExecute the skills CLI command in your project's root directory to begin installation:
Fetches wechat-daily-report from advisorydz/wechat-daily-report-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate wechat-daily-report. Access via /wechat-daily-report in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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1. 运行 analyze_chat.py 分析聊天记录
↓
2. AI 根据聊天文本生成内容 (ai_content.json)
↓
3. 运行 generate_report.py 生成日报图片 (.png)
⚠️ 最终输出是 PNG 图片，不是 HTML。确保 --output 参数使用
.png后缀。
python scripts/analyze_chat.py <聊天记录.json> --output-stats stats.json --output-text simplified_chat.txt
输出:
stats.json - 统计数据（话唠榜、熬夜冠军、词云等）simplified_chat.txt - 压缩格式聊天文本，供 AI 分析
[时间段] 发言人A:内容 | 发言人B:内容/内容/内容| 分隔不同发言人，/ 分隔同一人连续消息simplified_chat_1.txt, simplified_chat_2.txt 等多个文件根据 simplified_chat.txt（或多个分块文件，见 stats.json 中的 raw_text_paths 字段）和 stats.json，按 references/ai_prompt.md 中的格式生成 AI 内容，保存为 ai_content.json。
AI 需要生成的内容包括：
topics: 讨论热点（3-5 个）resources: 教程/资源分享important_messages: 重要消息dialogues: 有趣对话qas: 问答talker_profiles: 话唠成员的特点标签（常用词已由脚本统计）python scripts/generate_report.py --stats stats.json --ai-content ai_content.json --output report.png --clean-temp
✅ 输出后缀必须是
.png，使用 iPhone 14 Pro Max 分辨率 (430x932 @3x)使用
--clean-temp参数可在生成完成后自动删除临时文件（stats.json、ai_content.json、simplified_chat.txt、临时 HTML）图片生成需要安装 playwright：
pip install playwright && playwright install chromium
{
"meta": {
"name": "群名称",
"platform": "wechat",
"type": "group"
},
"members": [
{"platformId": "xxx", "accountName": "昵称", "groupNickname": "群昵称"}
],
"messages": [
{
"sender": "platformId",
"accountName": "昵称",
"groupNickname": "群昵称",
"timestamp": 1234567890,
"type": 0,
"content": "消息内容"
}
]
}
💡 显示名称优先级：
groupNickname>accountName
消息类型 (type):
0: 纯文本（脚本和 AI 分析此类型）1: 图片2: 语音转文字（脚本和 AI 分析此类型，内容格式：[语音转文字] xxx）5: 动画表情99: 系统消息| 数据 | 说明 |
|---|---|
| 总消息数 | 所有消息计数 |
| 活跃用户数 | 去重用户数 |
| 时间范围 | 首尾消息时间 |
| 话唠榜 TOP3 | 按发言数排序 + 常用词 |
| 熬夜冠军 | 23:00-06:00 最晚活跃者 |
| 词云数据 | jieba 分词 + 词频统计 |
| 内容 | 输入数据 |
|---|---|
| 讨论热点 | 精简文本 + 词云 TOP50 |
| 成员画像 | 精简文本中的发言 |
| 有趣对话 | 高互动片段 |
| 问答识别 | 问号消息 ± 上下文 |
| 教程/资源 | 精简全文识别 |
pip install jieba jinja2 playwright
playwright install chromium
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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wechat-daily-report reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: wechat-daily-report is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend wechat-daily-report for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for wechat-daily-report matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: wechat-daily-report is focused, and the summary matches what you get after install.
wechat-daily-report has been reliable in day-to-day use. Documentation quality is above average for community skills.
wechat-daily-report is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in wechat-daily-report — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for wechat-daily-report matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in wechat-daily-report — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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