Baoyu Wechat Summary
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli...
Install
npx skills add JimLiu/baoyu-skills --skill baoyu-wechat-summary -g -a claude-code -y- Repository
- JimLiu/baoyu-skills27.2k
- Category
- Git and review
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
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.
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 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. Everywxcommand in this skill needs to run withdangerouslyDisableSandbox: truefrom the start, don't waste a sandbox attempt first. The user can use/sandboxto 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 | 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 | 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 | 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 | 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):
- Prefer built-in user-input tools exposed by the current agent runtime, e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
- Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples, substitute the local equivalent in other runtimes.
