/install export-reply
Export Reply 💾
Save any agent reply or full conversation to a local file.
Remembers your last export settings — repeat exports take one confirmation.
Highlights
| 📄 5 formats | MD · TXT · HTML · PDF · DOCX (or all at once) |
| ✂️ 2 content modes | Verbatim · Condensed bilingual summary |
| 🧠 Preference memory | Recalls last scope / mode / format / path |
| 🖨️ PDF with no extra setup | Uses Chrome headless automatically; falls back to fpdf2 |
| 🌐 Bilingual summaries | Chinese + English section headers and prose |
| ⚡ Zero required deps | MD / TXT / HTML work with python3 only |
Usage
Just say 保存 / 导出 / save / export.
The agent asks all options in one message and infers what you already stated.
Next time: "Use same settings as last time? [yes / change]"
Install
clawhub install export-reply
Optional — better PDF / DOCX support:
pip3 install fpdf2 python-docx markdown
\x3C!-- Agent instructions below. Not rendered on ClawHub. -->
Interaction Flow (MUST follow exactly)
Step 0 — Check saved preferences
Before asking anything, run:
python3 skills/export-reply/scripts/prefs.py --action get
Branch A — Preferences exist (output is JSON, not null):
Show a single message:
上次你用的是:{scope} · {mode} · {format} → {path}({saved_at})
直接沿用这个方式,还是重新选?[好/是 = 沿用 | 改/新 = 重选]
- User confirms (好/是/沿用/yes/ok or empty reply) → skip to Step 2 with saved prefs
- User wants to change → show Step 1 prompt
Branch B — No preferences (output is null):
Go directly to Step 1.
Step 1 — Ask all options in one message
Combine only the unknowns into one single message:
请确认导出选项:
📄 内容范围:仅当前回答 / 完整对话?
✂️ 内容模式:原文保留 / 精简摘要?
📁 格式:MD · TXT · HTML · PDF · DOCX · 全部?
💾 保存路径:默认 ~/Desktop/ 还是自定义?
Infer from trigger phrase — skip already-known fields:
| User says | Already known |
|---|---|
| "存成PDF到桌面" | format=pdf, path=~/Desktop/ |
| "把这个回答存下来" | scope=reply |
| "导出摘要" | mode=summary |
| "save everything as Word" | scope=full, format=docx |
Step 2 — Execute export
- Write content to temp file, then run:
python3 skills/export-reply/scripts/summarize_conversation.py \
--input /tmp/export_raw.md \
--output /tmp/export_staged.md \
--mode {raw|summary} \
--title "{TITLE}"
python3 skills/export-reply/scripts/export_reply.py \
--file /tmp/export_staged.md \
--format {fmt} \
--output {path} \
--title "{TITLE}"
- On success, save preferences:
python3 skills/export-reply/scripts/prefs.py --action set \
--scope {full|reply} --mode {raw|summary} \
--format {fmt} --path {path}
- Reply:
✅ 已保存:{full_path}({size} · {format})
Step 3 — Error handling
| Error | Action |
|---|---|
| PDF: no Chrome + no pip libs | Offer HTML fallback; show pip3 install fpdf2 |
| DOCX: no python-docx | Show pip3 install python-docx; offer MD fallback |
| Permission denied | Suggest ~/Documents/ or ask for new path |
| Content too large | Warn but proceed; suggest summary mode |
Content Modes
Raw (原文保留)
Verbatim, role-labeled:
## 用户
{user message}
## 助手
{agent reply}
Pass --mode raw.
Summary (精简摘要)
Bilingual condensed — every header and prose block must be Chinese + English.
- Remove: greetings, filler, repeated clarifications, narration
- Keep: core question, conclusions, code, decisions, action items
- Headers (exact):
## 核心问题 / Core Question## 结论 / Conclusions## 代码 / Code## 行动项 / Action Items## 关键决策 / Key Decisions
- Prose: Chinese first, English below
- Code: keep as-is, add bilingual caption above
Pass --mode summary.
Format Quick Reference
| Format | Zero-install | Notes |
|---|---|---|
md |
✅ | Best for Obsidian, Git, developers |
txt |
✅ | Email, plain readers |
html |
✅ | Browser, shareable |
pdf |
✅* | Chrome headless → weasyprint → pdfkit → fpdf2 |
docx |
❌ | Requires pip3 install python-docx |
Common Triggers → Inferred Defaults
| User says | scope | mode | format |
|---|---|---|---|
| "保存这个回答" | reply | raw | md |
| "把对话存成PDF" | full | raw | |
| "导出摘要到桌面" | full | summary | md |
| "save everything as Word" | full | raw | docx |
| "export all formats" | full | raw | all |
Preferences Script Reference
python3 skills/export-reply/scripts/prefs.py --action get # read
python3 skills/export-reply/scripts/prefs.py --action set \
--scope full --mode summary --format pdf --path ~/Desktop/ # save
python3 skills/export-reply/scripts/prefs.py --action clear # reset
Stored at ~/.export_reply_prefs.json.
Related Skills
self-improving— Persist agent learnings permanentlyontology— Store structured knowledge from conversations
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install export-reply - 安装完成后,直接呼叫该 Skill 的名称或使用
/export-reply触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Export Reply 是什么?
Save any agent reply or full conversation to a local file. Triggers on: 保存 / 导出 / save / export. Supports MD, TXT, HTML, PDF, DOCX. Two modes: verbatim or co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 88 次。
如何安装 Export Reply?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install export-reply」即可一键安装,无需额外配置。
Export Reply 是免费的吗?
是的,Export Reply 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Export Reply 支持哪些平台?
Export Reply 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 Export Reply?
由 Ryan-owo(@ryan-owo)开发并维护,当前版本 v1.1.0。