Google Docs Automation

Google Docs

Lightweight Google Docs 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/docs.py. Auto-authenticates on first use if not logged in.

# Create a new document
python scripts/docs.py create "Meeting Notes"

# Create a document with initial content
python scripts/docs.py create "Project Plan" --content "# Overview\n\nThis is the project plan."

# Find documents by title
python scripts/docs.py find "meeting" --limit 10

# Get text content of a document
python scripts/docs.py get-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms

# Get text using a full URL
python scripts/docs.py get-text "https://docs.google.com/document/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit"

# Append text to end of document
python scripts/docs.py append-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms "New paragraph at the end."

# Insert text at beginning of document
python scripts/docs.py insert-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms "Text at the beginning.\n\n"

# Replace text in document
python scripts/docs.py replace-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms "old text" "new text"

Document ID Format

Google Docs uses document IDs like 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms. You can:

• Use the full URL (the ID will be extracted automatically)
• Use just the document ID
• Get document IDs from the find command results

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: google-docs-skill-oauth

Access tokens are automatically refreshed when expired using Google's cloud function.

AGI Framework Integration

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

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Google Docs Automation"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags google-docs-automation workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.