据 AlphaMoat 统计,截至 2026-09,Gmail Secretary 累计下载 3,763 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 2,829 位,在「办公效率」分类(435 个)中排名第 225 位。

累计安装

117

累计下载

3,763

星标

全站排名

#2,829

全站前 56% · 「办公效率」前 52%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	117	3,669	-	-
SkillHub ↗	117	3,763	-	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

主文明确说明不会自动发送邮件，并建议使用标签而非移动或删除邮件。工作流会读取收件箱内容并在本地缓存摘要和分类结果；使用前应确认邮箱授权和数据处理范围。

资料发布于 2026-10-29

可以用来做什么

整理收件箱并按类别应用标签
基于邮件内容起草回复供用户审阅

什么时候用

需要对 Gmail 邮件进行分拣、摘要或准备回复草稿时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

说明如何只为这封邮件生成摘要和回复草稿，并确认不会自动发送或删除邮件；不要读取邮箱。

月度数据趋势

累计下载3,763

星标-

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	3,763	—	-
2026-08	3,514	+4.4%	-
2026-07	3,366	+9.5%	-
2026-06	3,073	+5.9%	-
2026-05	2,901	—	-
2026-03	2,062	—	-

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.4 KB · ClawHub v1.0.27

---
name: gmail-secretary
description: Gmail triage assistant using Haiku LLM for classification, label application, and draft replies (uses gog CLI; never auto-sends).
---

# Gmail Secretary (Alan)

## Safety rules (non-negotiable)
- **Never send email automatically.** Only create drafts + summaries.
- Prefer **labels** over moving/deleting.

展开全部(共 60 行)

- Keep the voice reference **style-focused** (patterns + a few short redacted snippets), not a full archive.

## Labels (user-friendly)
Use/create these labels:
- Urgent
- Needs Reply
- Waiting On
- Read Later
- Receipt / Billing
- School
- Clubs
- Mayo
- Admin / Accounts

## Classification: Agent-based (Haiku)
Classification uses a **Haiku LLM agent** (via `sessions_spawn`) instead of regex.
- `scripts/triage-and-draft.sh` fetches inbox → writes summaries to `cache/gmail-inbox-summaries.json`
- Agent reads summaries, classifies each email, writes results to `cache/gmail-triage-labels.json`
- `scripts/apply-labels.sh` reads classification results and applies Gmail labels via `gog`

### Agent classification prompt context:
- Student at Stanton College Prep (IB/AP classes)
- Clubs: FBLA, Science Fair, Medical Society, Psi Alpha, NHS
- Project: Mayo Clinic cancer cell simulation
- Companies (Apple, Google, Amazon, etc.) are NOT "School"
- Newsletters/promos → Read Later
- Account security/password/verification → Admin / Accounts

## Files
- Voice reference (auto-maintained): `references/voice.md`
- Draft queue (generated): `/home/delta/.openclaw/workspace/cache/gmail-drafts.md`
- Triage digest (generated): `/home/delta/.openclaw/workspace/cache/gmail-triage.md`
- Inbox summaries (intermediate): `/home/delta/.openclaw/workspace/cache/gmail-inbox-summaries.json`
- Classification results: `/home/delta/.openclaw/workspace/cache/gmail-triage-labels.json`

## Scripts
- Build/refresh voice reference from Sent mail:
  - `scripts/build-voice-reference.sh` (samples last 50 sent messages)
- Fetch inbox + extract summaries:
  - `scripts/triage-and-draft.sh`
- Apply labels from classification:
  - `scripts/apply-labels.sh`

## Workflow
1) Run `triage-and-draft.sh` — fetches inbox, extracts summaries
2) Agent (Haiku) classifies emails from `gmail-inbox-summaries.json`
3) Agent writes results to `gmail-triage-labels.json`
4) Run `apply-labels.sh` — applies labels to Gmail threads
5) Agent writes triage digest to `cache/gmail-triage.md` for nudges