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.

2026-04-153

notebooklm-internal

techwavedev/agi-agent-kit

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.

2026-04-153

webcrawler

techwavedev/agi-agent-kit

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.

2026-04-123

ui-ux-pro-max

techwavedev/agi-agent-kit

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...

2026-04-123

image-ai-generator

techwavedev/agi-agent-kit

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.

2026-04-123

plugin-discovery

techwavedev/agi-agent-kit

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.

2026-04-123

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"}

Gmail

Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.

⚠️ Requires Google Workspace account. Personal Gmail accounts are not supported.

First-Time Setup

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

Commands

All operations via scripts/gmail.py. Auto-authenticates on first use if not logged in.

Search Emails

# 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

Read Email Content

# 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 Emails

# 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

Draft Management

# 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

Modify Messages (Labels)

# 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 Labels

# List all Gmail labels (system and user-created)
python scripts/gmail.py list-labels

Gmail Query Syntax

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"

Common Label IDs

Label	ID
Inbox	`INBOX`
Sent	`SENT`
Drafts	`DRAFT`
Spam	`SPAM`
Trash	`TRASH`
Starred	`STARRED`
Important	`IMPORTANT`
Unread	`UNREAD`

Token Management

Tokens stored securely using the system keyring:

macOS: Keychain
Windows: Windows Credential Locker
Linux: Secret Service API (GNOME Keyring, KDE Wallet, etc.)

Service name: gmail-skill-oauth

Tokens automatically refresh when expired using Google's cloud function.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

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"

Storing Results

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

Multi-Agent Collaboration

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>

Control Tower Integration

Register agents and tasks with the Control Tower (execution/control_tower.py) for centralized orchestration across machines and LLM providers.

Blockchain Identity

Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems.