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gmail-automation
Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Answer questions about Claude Code / Anthropic agent design patterns (CLAUDE.md layering, skills anatomy, progressive disclosure, memory-first, orchestration, sub-agents, worktree isolation, Karpathy loop). Primary backend is a NotebookLM RAG over Anthropic design notebooks; falls back to bundled references when the notebook is not registered.
INTERNAL ONLY. Forked write-capable variant of the public notebooklm skill. Adds programmatic source ingestion (add_source) for the X/YouTube → NotebookLM pipeline (#119). Headless, non-interactive, cron-driven. NEVER ship publicly.
Documentation harvesting agent for crawling and extracting content from documentation websites. Use for crawling documentation sites and extracting all pages about a subject, building offline knowledge bases from online docs, harvesting API references, tutorials, or guides from documentation portals, creating structured markdown exports from multi-page documentation, and downloading and organizing technical docs for embedding or RAG pipelines. Supports recursive crawling with depth control, content filtering, and structured output.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, cr...
Generates images via Openrouter API using AI image models. Supports two modes: test (cheap model for iteration) and production (high-quality model for final output). Handles prompt construction, API calls, base64 decoding, and file saving. Supports reference images (logos, mascots) for brand-consistent generation.
Platform-adaptive plugin and extension auto-discovery. Detects the runtime environment (Claude Code, Gemini, Opencode, Kiro) and recommends or installs relevant plugins, extensions, MCP servers, and marketplace integrations. Use when setting up a project, onboarding, or when the user asks about available tools/plugins.
| name | gmail-automation |
| description | Lightweight Gmail integration with standalone OAuth authentication. No MCP server required. |
| license | Apache-2.0 |
| risk | critical |
| source | community |
| metadata | {"author":"sanjay3290","version":"1.0"} |
Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.
⚠️ Requires Google Workspace account. Personal Gmail accounts are not supported.
Authenticate with Google (opens browser):
python scripts/auth.py login
Check authentication status:
python scripts/auth.py status
Logout when needed:
python scripts/auth.py logout
All operations via scripts/gmail.py. Auto-authenticates on first use if not logged in.
# Search with Gmail query syntax
python scripts/gmail.py search "from:someone@example.com is:unread"
# Search recent emails (no query returns all)
python scripts/gmail.py search --limit 20
# Filter by label
python scripts/gmail.py search --label INBOX --limit 10
# Include spam and trash
python scripts/gmail.py search "subject:important" --include-spam-trash
# Get full message content
python scripts/gmail.py get MESSAGE_ID
# Get just metadata (headers)
python scripts/gmail.py get MESSAGE_ID --format metadata
# Get minimal response (IDs only)
python scripts/gmail.py get MESSAGE_ID --format minimal
# Send a simple email
python scripts/gmail.py send --to "user@example.com" --subject "Hello" --body "Message body"
# Send with CC and BCC
python scripts/gmail.py send --to "user@example.com" --cc "cc@example.com" --bcc "bcc@example.com" \
--subject "Team Update" --body "Update message"
# Send from an alias (must be configured in Gmail settings)
python scripts/gmail.py send --to "user@example.com" --subject "Hello" --body "Message" \
--from "Mile9 Accounts <accounts@mile9.io>"
# Send HTML email
python scripts/gmail.py send --to "user@example.com" --subject "HTML Email" \
--body "<h1>Hello</h1><p>HTML content</p>" --html
# Create a draft
python scripts/gmail.py create-draft --to "user@example.com" --subject "Draft Subject" \
--body "Draft content"
# Send an existing draft
python scripts/gmail.py send-draft DRAFT_ID
# Mark as read (remove UNREAD label)
python scripts/gmail.py modify MESSAGE_ID --remove-label UNREAD
# Mark as unread
python scripts/gmail.py modify MESSAGE_ID --add-label UNREAD
# Archive (remove from INBOX)
python scripts/gmail.py modify MESSAGE_ID --remove-label INBOX
# Star a message
python scripts/gmail.py modify MESSAGE_ID --add-label STARRED
# Unstar a message
python scripts/gmail.py modify MESSAGE_ID --remove-label STARRED
# Mark as important
python scripts/gmail.py modify MESSAGE_ID --add-label IMPORTANT
# Multiple label changes at once
python scripts/gmail.py modify MESSAGE_ID --remove-label UNREAD --add-label STARRED
# List all Gmail labels (system and user-created)
python scripts/gmail.py list-labels
Gmail supports powerful search operators:
| Query | Description |
|---|---|
from:user@example.com | Emails from a specific sender |
to:user@example.com | Emails to a specific recipient |
subject:meeting | Emails with "meeting" in subject |
is:unread | Unread emails |
is:starred | Starred emails |
is:important | Important emails |
has:attachment | Emails with attachments |
after:2024/01/01 | Emails after a date |
before:2024/12/31 | Emails before a date |
newer_than:7d | Emails from last 7 days |
older_than:1m | Emails older than 1 month |
label:work | Emails with a specific label |
in:inbox | Emails in inbox |
in:sent | Sent emails |
in:trash | Trashed emails |
Combine with AND (space), OR, or - (NOT):
python scripts/gmail.py search "from:boss@company.com is:unread newer_than:1d"
python scripts/gmail.py search "subject:urgent OR subject:important"
python scripts/gmail.py search "from:newsletter@example.com -is:starred"
| Label | ID |
|---|---|
| Inbox | INBOX |
| Sent | SENT |
| Drafts | DRAFT |
| Spam | SPAM |
| Trash | TRASH |
| Starred | STARRED |
| Important | IMPORTANT |
| Unread | UNREAD |
Tokens stored securely using the system keyring:
Service name: gmail-skill-oauth
Tokens automatically refresh when expired using Google's cloud function.
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency.
# Check for prior AI agent orchestration context before starting
python3 execution/memory_manager.py auto --query "agent patterns and orchestration strategies for Gmail Automation"
After completing work, store AI agent orchestration decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \
--type decision --project <project> \
--tags gmail-automation ai-agents
This skill is inherently multi-agent. Use cross-agent context to coordinate task distribution and avoid duplicate work.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \
--project <project>
Register agents and tasks with the Control Tower (execution/control_tower.py) for centralized orchestration across machines and LLM providers.
Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems.