Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
wechat daily report
微信群聊天记录日报图片生成工具。分析微信群聊天记录，结合 AI 生成内容，**最终输出为手机端分辨率的日报长图（PNG）**。
skill openclawclawhub Free
微信群聊天记录日报图片生成工具。分析微信群聊天记录，结合 AI 生成内容，**最终输出为手机端分辨率的日报长图（PNG）**。
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- description_cn.txt, description_de.txt, description_en.txt, description_es.txt, description_fr.txt, description_ja.txt
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- justao
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
工作流程
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。
1. 分析聊天记录
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 - 全量聊天文本，供 AI 分析
2. AI 生成内容
根据 simplified_chat.txt 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）
3. 生成日报图片
python scripts/generate_report.py --stats stats.json --ai-content ai_content.json --output report.png ✅ 输出后缀必须是 .png，使用 iPhone 14 Pro Max 分辨率 (430x932 @3x) 图片生成需要安装 playwright：pip install playwright && playwright install chromium
聊天记录 JSON 格式
{ "meta": { "name": "群名称", "platform": "wechat", "type": "group" }, "members": [ {"platformId": "xxx", "accountName": "昵称"} ], "messages": [ { "sender": "platformId", "accountName": "昵称", "timestamp": 1234567890, "type": 0, "content": "消息内容" } ] } 消息类型 (type): 0: 纯文本（脚本和 AI 只分析此类型） 1: 图片 5: 动画表情 99: 系统消息
脚本分析内容（保证准确性）
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
AI 生成内容（需要理解上下文）
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
依赖
pip install jieba jinja2 playwright playwright install chromium
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Files
- description_cn.txt
- description_de.txt
- description_en.txt
- description_es.txt
- description_fr.txt
- description_ja.txt