Export Reply

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 condensed bilingual summary. Remembers your last export settings for one-tap repeat.

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

bash

clawhub install export-reply

Optional — better PDF / DOCX support:

bash

pip3 install fpdf2 python-docx markdown

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Interaction Flow (MUST follow exactly)

Step 0 — Check saved preferences

Before asking anything, run:

bash

python3 skills/export-reply/scripts/prefs.py --action get

Branch A — Preferences exist (output is JSON, not null): Show a single message:

text

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:

text

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

1. Write content to temp file, then run:

bash

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}"

2. On success, save preferences:

bash

python3 skills/export-reply/scripts/prefs.py --action set \
  --scope {full|reply} --mode {raw|summary} \
  --format {fmt} --path {path}

3. Reply:

text

✅ 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

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Content Modes

Raw (原文保留)

Verbatim, role-labeled:

markdown

## 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.

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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	pdf
"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

bash

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.

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Related Skills

• self-improving — Persist agent learnings permanently
• ontology — Store structured knowledge from conversations