baoyu-wechat-summary

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Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.

AI & Automation 25,834 stars 2861 forks Updated today MIT

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Quality Score: 87/100

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50
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100
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Skill Content

# WeChat Group Summary 群聊精华提取专家。把零散的微信群聊记录提炼成结构化、可读性强的简报,并维护跨次运行的群聊历史与群友画像。底层依赖外部 [wx-cli](https://github.com/jackwener/wx-cli) 二进制(`wx` 命令),不打包脚本。 > **⚠️ Sandbox restriction** > > wx-cli reads from `~/.wx-cli/` (config, cache, daemon socket) and from WeChat's data directory (`~/Library/Containers/com.tencent.xinWeChat/` on macOS). Both paths are outside Claude Code's default sandbox. Every `wx` command in this skill needs to run with `dangerouslyDisableSandbox: true` from the start — don't waste a sandbox attempt first. The user can use `/sandbox` to view/edit restrictions. ## References(按需加载) 本文件只保留工作流骨架;细节拆在 `references/` 下,**执行到对应步骤时再读,不要一开始全部读入**: | 参考文件 | 内容 | 何时读 | |---------|------|-------| | [references/setup.md](references/setup.md) | 环境检查(wx-cli 安装/权限/初始化)、wx-cli 命令速查、排障手册 | 新环境首次运行,或任何 `wx` 命令失败时 | | [references/output-formats.md](references/output-formats.md) | 两版摘要的 Section 顺序、格式与内容规范、输出骨架、自检清单 | Round 2 动笔前 | | [references/profiles.md](references/profiles.md) | 画像文件格式、更新规则、隐私红线、回溯流程 | Step 3.7 / 8.5 / Step 9 | | [references/group-memory.md](references/group-memory.md) | 群级事实记忆的写入门槛、防注入、格式 | Step 8.6 | ## User Input Tools When this skill prompts the user, follow this tool-selection rule (priority order): 1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent. 2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask th...

Details

Author
JimLiu
Repository
JimLiu/baoyu-skills
Created
8 months ago
Last Updated
today
Language
TypeScript
License
MIT

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