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AgentCompany/builtin-skills/document-process/my-writing-style/README.md
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ZacharyZhang-NY e74dafcd36 Silence render-disposed spam, unbreak bundled skills, drop board wake
Three independently ugly bugs that all fed the same log flood:

* Electron's `WebFrameMain.send` writes every "Render frame was disposed"
  to stderr via `console.error`. When the worker fans a second
  agent-event past a reloading renderer, we produced thousands of
  identical lines and stalled the main loop on stderr I/O. Added a
  `mainFrame.detached` guard so the send is short-circuited before
  Electron's own catch block fires, and installed a targeted filter in
  `suppress-warnings.ts` (now actually imported from the entry point)
  so the specific `console.error("Error sending from webFrameMain:"…)`
  noise never reaches the terminal. Any other payload still surfaces.

* `dispatchAgentMessage` accepted the human-reader sentinel as a wake
  target when an agent replied to `__board__` — `wakeAgentIfPossible`
  then called `db.getAgent("__board__")`, threw, and the dispatcher
  kept repeating on every send. Strip `HUMAN_SENDER_ID` at
  `resolveMessageWakeTargets`, and keep a defense-in-depth guard in the
  heartbeat so a stray caller (future automation fan-out) cannot
  reintroduce the crash.

* Pi's skills loader rejects any SKILL.md whose frontmatter `name`
  diverges from its parent directory. The four bundled `my-writing-style`
  copies declared `name: writing-style-skill`, so every install emitted
  a warning and dropped the skill. They also lived as orphan gitlinks
  (mode 160000 without .gitmodules), and the global `*.md` gitignore
  hid every other SKILL.md from version control. Fixed the frontmatter
  to match the dir, converted the dangling submodules to plain trees,
  and allowlisted `builtin-skills/**/*.md` so a fresh clone carries the
  catalogue instead of silently losing it.
2026-04-20 08:13:48 -04:00

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# Writing Style Skill
可复用的写作风格 Skill 模板。**内置自动学习** — 从你的修改中自动提取规则,SKILL.md 越用越准。
兼容 **Claude Code** + **OpenClaw (ClawHub)**。
## 原理
```
AI 用 SKILL.md 写初稿 → 你改到满意 → diff 两版 → 提取规则 → 更新 SKILL.md → 下次更准
```
只要两个数据点:**original**(AI 第一版)和 **final**(你最终版)。中间改了多少轮不管。
## 安装
```bash
# Claude Code
git clone https://github.com/jzOcb/writing-style-skill.git
cp -r writing-style-skill ~/.claude/skills/my-writing-style
# OpenClaw / ClawHub
npx clawhub@latest install jz-writing-style-skill
```
## 快速开始
1. **改 SKILL.md** — 把模板里的风格规则改成你自己的(或留空,让自动学习帮你填)
2. **让 AI 用这个 skill 写内容**
3. **你改到满意**
4. 记录:
```bash
python3 scripts/observe.py record-original draft.md
# ... 你修改 ...
python3 scripts/observe.py record-final final.md
```
5. 提取规则:
```bash
python3 scripts/improve.py auto --skill .
```
## 文件结构
```
writing-style-skill/
├── SKILL.md # 你的写作风格(模板,改成你的)
├── README.md # 本文件
└── scripts/
├── observe.py # 记录 original / final(零依赖)
└── improve.py # 提取 / 应用 / 回滚(需要 LLM CLI)
```
## 自动学习怎么工作
- `observe.py` 记录 AI 原稿和你的最终版
- `improve.py` 用 LLM 分析 diff,提取写作规则
- 规则按置信度分 P0/P1/P2,P0 自动应用
- 每次更新前自动备份,一键回滚
## LLM 支持
`improve.py` 自动检测:
- `claude` (Claude Code) — 优先
- `llm` (pip install llm) — 通用
- `IMPROVE_LLM_CMD` 环境变量 — 自定义
`observe.py` 零依赖纯 Python。
## License
MIT