gmail
The Gmail skill enables reading, searching, sending, and organizing emails across multiple Google accounts through the Gmail API. Use this skill when users request email management tasks such as checking or reading messages, composing and sending emails, replying to conversations, searching the inbox, or managing labels and folders. The skill includes a structured five-step workflow for email composition that involves gathering context, checking previous conversations, drafting with user feedback, test sending, and final delivery, with automatic signature appending to outgoing messages.
git clone --depth 1 https://github.com/team-attention/plugins-for-claude-natives /tmp/gmail && cp -r /tmp/gmail/plugins/gmail/skills/gmail ~/.claude/skills/gmailSKILL.md
# Gmail Skill
Manage emails through Gmail API - read, search, send, and organize across multiple Google accounts.
## Account Setup
**Before running any command, read `accounts.yaml` to check registered accounts.**
> If `accounts.yaml` is missing or empty → Read `references/setup-guide.md` for initial setup
```yaml
# accounts.yaml example
accounts:
personal:
email: user@gmail.com
description: Personal Gmail
work:
email: user@company.com
description: Work account
```
## Email Sending Workflow (5 Steps)
When sending emails, **create 5 Tasks with TaskCreate** and execute sequentially:
| Step | Task | Key Action |
|------|------|----------|
| 1 | Gather context | Run Explore SubAgents **in parallel**: recipient info, related projects, background context |
| 2 | Check previous conversations | Search `--query "to:recipient OR from:recipient newer_than:90d"` → AskUserQuestion for thread selection |
| 3 | Draft email | Compose draft → AskUserQuestion for feedback |
| 4 | Test send | Send `[TEST]` email to user's own address → Open in Gmail web → Request confirmation |
| 5 | Actual send | Send to recipient → Report completion |
**Signature**: Append `---\nSent with Claude Code` to all outgoing emails
### Workflow Example: "Send a meeting email to John"
```
1. Create 5 Tasks
2. Step 1: Run parallel Explore SubAgents
- Search recipient (John) info (partners/, projects/, context.md, etc.)
- Search meeting context (calendar, recent meeting notes, etc.)
3. Step 2: Search "to:john@company.com OR from:john@company.com"
→ If previous conversation exists, AskUserQuestion (reply/new email)
4. Step 3: Draft email → AskUserQuestion (proceed/revise)
5. Step 4: Test send to my email → Open in Gmail web (`open "https://mail.google.com/mail/u/0/#inbox/{message_id}"`) → Request confirmation
6. Step 5: Actual send → Done
```
## CLI Quick Reference
```bash
# List messages
uv run python scripts/list_messages.py --account work --query "is:unread" --max 10
# Send email
uv run python scripts/send_message.py --account work --to "user@example.com" --subject "Subject" --body "Content"
# Check profile
uv run python scripts/manage_labels.py --account work profile
```
> Detailed CLI usage: `references/cli-usage.md`
> Search query reference: `references/search-queries.md`
## View Email in Web
After sending, use the returned Message ID to view directly in Gmail web:
```bash
# URL format
https://mail.google.com/mail/u/0/#inbox/{message_id}
# Example: Open in browser after test send
open "https://mail.google.com/mail/u/0/#inbox/19c145bbd47ddd01"
```
> **Note**: `u/0` is the first logged-in account, `u/1` is the second account
## File Structure
```
skills/gmail/
├── SKILL.md
├── accounts.yaml # Account metadata
├── scripts/ # CLI scripts
├── references/
│ ├── setup-guide.md # Initial setup guide
│ ├── cli-usage.md # Detailed CLI usage
│ ├── search-queries.md # Search query reference
│ └── credentials.json # OAuth Client ID (gitignore)
├── assets/
│ ├── accounts.default.yaml # Account config template
│ ├── email-templates.md # Email body templates
│ └── signatures.md # Signature templates (Plain/HTML)
└── accounts/ # Per-account tokens (gitignore)
```
## Error Handling
| Situation | Resolution |
|-----------|------------|
| accounts.yaml missing | Read `references/setup-guide.md` for initial setup |
| Token missing | Guide user to run `setup_auth.py --account <name>` |
| Token expired | Auto-refresh; if failed, guide re-authentication |Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.
This skill should be used when the user is building, planning, or strategizing and the key question is whether to optimize content (what) or change form (how/medium). Trigger on "내용 vs 형식", "content vs form", "metamedium", "형식을 바꿔볼까", "새로운 포맷", "관점 전환", "perspective shift", "다른 방법 없을까", "같은 방식이 안 먹혀", "diminishing returns". Applies Alan Kay's metamedium concept to surface form-level alternatives. For requirement clarification use vague; for strategy blind spots use unknown.
This skill should be used when the user provides a strategy, plan, or decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework. Trigger on "known unknown", "4분면 분석", "blind spots", "뭘 놓치고 있지", "뭘 모르는지 모르겠어", "전략 점검", "전략 분석", "assumption check", "가정 점검", "quadrant analysis", "what am I missing". Strategy-level blind spot analysis with hypothesis-driven questioning. For requirement clarification use vague; for content-vs-form reframing use metamedium.
This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.
개발 커뮤니티에서 기술 주제에 대한 다양한 의견 수집. "개발자 반응", "커뮤니티 의견", "developer reactions" 요청에 사용. Reddit, HN, Dev.to, Lobsters 등 종합.
This skill should be used when the user asks to "기술 의사결정", "뭐 쓸지 고민", "A vs B", "비교 분석", "라이브러리 선택", "아키텍처 결정", "어떤 걸 써야 할지", "트레이드오프", "기술 선택", "구현 방식 고민", or needs deep analysis for technical decisions. Provides systematic multi-source research and synthesized recommendations.
This skill should be used when the user asks to "트윗 가져와", "트윗 번역", "X 게시글 읽어줘", "tweet fetch", "트윗 내용", "트윗 원문", or provides an X/Twitter URL (x.com, twitter.com) and wants to read, translate, or analyze the tweet content. Also useful when other skills need to fetch tweet text programmatically.
Google 캘린더 일정 조회/생성/수정/삭제. "오늘 일정", "이번 주 일정", "미팅 추가해줘" 요청에 사용. 여러 계정(work, personal) 통합 조회 지원.