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Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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.