Generate multi-format documentation with Claude Sonnet & Google Docs
[Meta] Multi-Format Documentation Generator for N8N Creators (+More)
One-Line Description
Transform n8n workflow JSON into five ready-to-publish documentation formats including technical guides, social posts, and marketplace submissions.
Detailed Description
What it does:
This workflow takes an exported n8n workflow JSON file and automatically generates a complete documentation package with five distinct formats: technical implementation guide, LinkedIn post, Discord community snippet, detailed use case narrative, and n8n Creator Commons submission documentation. All outputs are compiled into a single Google Doc for easy access and distribution.
Who it's for:
- n8n creators preparing workflows for the template library or community sharing
- Automation consultants documenting client solutions across multiple channels
- Developer advocates creating content about automation workflows for different audiences
- Teams standardizing workflow documentation for internal knowledge bases
Key Features:
- Parallel AI generation - Creates all five documentation formats simultaneously using Claude, saving 2+ hours of manual writing
- Automatic format optimization - Each output follows platform-specific best practices (LinkedIn character limits, Discord casual tone, n8n marketplace guidelines)
- Single Google Doc compilation - All documentation consolidated with clear section separators and automatic workflow name detection
- JSON upload interface - Simple form-based trigger accepts workflow exports without technical setup
- Smart content adaptation - Same workflow data transformed into technical depth for developers, engaging narratives for social media, and searchable descriptions for marketplaces
- Ready-to-publish outputs - No editing required—each format follows platform submission guidelines and style requirements
How it works:
- User uploads exported n8n workflow JSON through a web form interface
- Five AI agents process the workflow data in parallel, each generating format-specific documentation (technical guide, LinkedIn post, Discord snippet, use case story, marketplace listing)
- All outputs merge into a formatted document with section headers and separators
- Google Docs creates a new document with auto-generated title from workflow name and timestamp
- Final document populates with all five documentation formats, ready for copying to respective platforms
Setup Requirements
Prerequisites:
- Anthropic API (Claude AI) - Powers all documentation generation; requires paid API access or credits
- Google Docs API - Creates and updates documentation; free with Google Workspace account
- n8n instance - Cloud or self-hosted with AI agent node support (v1.0+)
Estimated Setup Time:
20-25 minutes (15 minutes for API credentials, 5-10 minutes for testing with sample workflow)
Installation Notes
- API costs: Each workflow documentation run uses ~15,000-20,000 tokens across five parallel AI calls (approximately $0.30-0.50 per generation at current Claude pricing)
- Google Docs folder: Update the
folderIdparameter in the "Create a document" node to your target folder—default points to a specific folder that won't exist in your Drive - Testing tip: Use a simple 3-5 node workflow for your first test to verify all AI agents complete successfully before processing complex workflows
- Wait node purpose: The 5-second wait between document creation and content update prevents Google Docs API race conditions—don't remove this step
- Form URL: After activation, save the form trigger URL for easy access—bookmark it or share with team members who need to generate documentation
Customization Options
Swappable integrations:
- Replace Google Docs with Notion, Confluence, or file system storage by swapping final nodes
- Switch from Claude to GPT-4, Gemini, or other LLMs by changing the language model node (may require prompt adjustments)
- Add Slack/email notification nodes after completion to alert when documentation is ready
Adjustable parameters:
- Modify AI prompts in each agent node to match your documentation style preferences or add company-specific guidelines
- Add/remove documentation formats by duplicating or deleting agent nodes and updating merge configuration
- Change document formatting in the JavaScript code node (section separators, headers, metadata)
Extension possibilities:
- Add automatic posting to LinkedIn/Discord by connecting their APIs after doc generation
- Create version history tracking by appending to existing docs instead of creating new ones
- Build approval workflow by adding human-in-the-loop steps before final document creation
- Generate visual diagrams by adding Mermaid chart generation from workflow structure
- Create multi-language versions by adding translation nodes after English generation
Category
Development
Tags
- documentation
- n8n
- content-generation
- ai
- claude
- google-docs
- workflow
- automation-publishing
Use Case Examples
-
Marketplace contributors: Generate complete n8n template submission packages in minutes instead of hours of manual documentation writing across multiple format requirements
-
Agency documentation: Automation consultancies can deliver client workflows with professional documentation suite—technical guides for client IT teams, social posts for client marketing, and narrative case studies for portfolio
-
Internal knowledge base: Development teams standardize workflow documentation across projects, ensuring every automation has consistent technical details, use case examples, and setup instructions for team onboarding
Generate Multi-Format Documentation with Claude Sonnet and Google Docs
This n8n workflow automates the process of generating documentation in multiple formats using an AI agent powered by Anthropic's Claude Sonnet model. It streamlines the creation of various documentation types based on a single input, making it easier to maintain consistency and efficiency in your content creation.
What it does
- Triggers on form submission: The workflow starts when a form is submitted, likely containing the initial documentation request or source material.
- Extracts content from a file: It then extracts content from a file, which is presumably attached to the form submission. This could be a document, a text file, or any other format that can be parsed.
- Processes with an AI Agent: The extracted content is fed into an AI Agent node (powered by LangChain). This agent is configured to use the Anthropic Chat Model (Claude Sonnet).
- Generates multi-format output: The AI Agent processes the input and generates documentation in various specified formats.
- Merges outputs: The generated outputs are then merged.
- Saves to Google Docs: Finally, the merged documentation is saved to Google Docs, likely creating new documents or updating existing ones.
- Includes a wait step: A "Wait" node is included, possibly to introduce a delay between operations or to await external processing before proceeding.
- Provides a sticky note for context: A sticky note is present, indicating that the workflow is designed to "Generate documentation in multi-formats using Claude Sonnet."
Prerequisites/Requirements
- n8n instance: A running n8n instance.
- Anthropic API Key: For the Anthropic Chat Model (Claude Sonnet).
- Google Docs Account: With appropriate permissions for n8n to create/update documents.
- n8n Form Trigger: To initiate the workflow via a form submission.
Setup/Usage
- Import the workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- Set up your Anthropic API Key credentials for the "Anthropic Chat Model" node.
- Configure your Google Docs credentials to allow n8n to access your Google Drive.
- Configure the n8n Form Trigger:
- Define the fields for your form that will provide the initial documentation content (e.g., a text input for the source document, or a file upload field).
- Customize the AI Agent and Anthropic Chat Model:
- Adjust the prompts and tools within the "AI Agent" node to specify the desired output formats (e.g., markdown, HTML, plain text, etc.) and the instructions for the Claude Sonnet model.
- Ensure the "Anthropic Chat Model" node is configured with the correct model (e.g.,
claude-3-sonnet-20240229).
- Configure Google Docs node:
- Specify how the generated documentation should be saved in Google Docs (e.g., document name, folder, content type).
- Activate the workflow: Once configured, activate the workflow to start processing form submissions.
- Submit the form: Submit data through the n8n form to trigger the documentation generation process.
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Track personal finances in Google Sheets with AI agent via Slack
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Simply mention your bot with transactions in plain English (e.g., "₹500 cash food, borrowed ₹1000 from John"), and the AI agent will: Parse transactions using natural language understanding via Google Gemini Calculate balance changes for cash and online accounts Show a preview of changes before saving anything Update Google Sheets only after you approve Track debts (who owes you, who you owe, repayments) Send daily reminders at 11 PM with current balances and active debts The workflow maintains conversational context using PostgreSQL memory, so you can say things like "yesterday's transactions" or "that payment to Sarah" and it understands the context. How it works Scheduled Daily Check-in (11 PM) Fetches current balances from Google Sheets Retrieves all active debts Formats and sends a Slack message with balance summary Prompts you to share the day's transactions AI Agent Transaction Processing When you mention the bot in Slack: Phase 1: Parse & Analyze Extracts amount, payment type (cash/online), category (food, travel, etc.) Identifies transaction type (expense, income, borrowed, lent, repaid) Stores conversation context in PostgreSQL memory Phase 2: Calculate & Preview Reads current balances from Google Sheets Calculates new balances based on transactions Shows formatted preview with projected changes Waits for your approval ("yes"/"no") Phase 3: Update Database (only after approval) Logs transactions with unique IDs and timestamps Updates debt records with person names and status Recalculates and stores new balances Handles debt lifecycle (Active → Settled) Phase 4: Confirmation Sends success message with updated balances Shows active debts summary Includes logging timestamp Requirements Essential Services: n8n instance (self-hosted or cloud) Slack workspace with admin access Google account Google Gemini API key PostgreSQL database Recommended: Claude AI model (mentioned in workflow notes as better alternative to Gemini) How to set up Google Sheets Setup Create a new Google Sheet with three tabs named exactly: Balances Tab: | Date | CashBalance | OnlineBalance | Total_Balance | |------|--------------|----------------|---------------| Transactions Tab: | TransactionID | Date | Time | Amount | PaymentType | Category | TransactionType | PersonName | Description | Added_At | |----------------|------|------|--------|--------------|----------|------------------|-------------|-------------|----------| Debts Tab: | PersonName | Amount | Type | Datecreated | Status | Notes | |-------------|--------|------|--------------|--------|-------| Add header rows and one initial balance row in the Balances tab with today's date and starting amounts. Slack App Setup Go to api.slack.com/apps and create a new app Under OAuth & Permissions, add these Bot Token Scopes: app_mentions:read chat:write channels:read Install the app to your workspace Copy the Bot User OAuth Token Create a dedicated channel (e.g., personal-finance-tracker) Invite your bot to the channel Google Gemini API Visit ai.google.dev Create an API key Save it for n8n credentials setup PostgreSQL Database Set up a PostgreSQL database (you can use Supabase free tier): Create a new project Note down connection details (host, port, database name, user, password) The workflow will auto-create the required table n8n Workflow Configuration Import the workflow and configure: A. Credentials Google Sheets OAuth2: Connect your Google account Slack API: Add your Bot User OAuth Token Google Gemini API: Add your API key PostgreSQL: Add database connection details B. Update Node Parameters All Google Sheets nodes: Select your finance spreadsheet Slack nodes: Select your finance channel Schedule Trigger: Adjust time if you prefer a different check-in hour (default: 11 PM) Postgres Chat Memory: Change sessionKey to something unique (e.g., financetrackeryour_name) Keep tableName as n8nchathistory_finance or rename consistently C. Slack Trigger Setup Activate the "Bot Mention trigger" node Copy the webhook URL from n8n In Slack App settings, go to Event Subscriptions Enable events and paste the webhook URL Subscribe to bot event: app_mention Save changes Test the Workflow Activate both workflow branches (scheduled and agent) In your Slack channel, mention the bot: @YourBot ₹100 cash snacks Bot should respond with a preview Reply "yes" to approve Verify Google Sheets are updated How to customize Change Transaction Categories Edit the AI Agent's system message to add/remove categories. Current categories: travel, food, entertainment, utilities, shopping, health, education, other Modify Daily Check-in Time Change the Schedule Trigger's triggerAtHour value (0-23 in 24-hour format). Add Currency Support Replace ₹ with your currency symbol in: Format Daily Message code node AI Agent system prompt examples Switch AI Models The workflow uses Google Gemini, but notes recommend Claude. To switch: Replace "Google Gemini Chat Model" node Add Claude credentials Connect to AI Agent node Customize Debt Types Modify AI Agent's system prompt to change debt handling logic: Currently: IOwe and TheyOwe_Me You can add more types or change naming Add More Payment Methods Current: cash, online To add more (e.g., credit card): Update AI Agent prompt Modify Balances sheet structure Update balance calculation logic Change Approval Keywords Edit AI Agent's Phase 2 approval logic to recognize different approval phrases. Add Spending Analytics Extend the daily check-in to calculate: Weekly/monthly spending summaries Category-wise breakdowns Use additional Code nodes to process transaction history Important Notes ⚠️ Never trigger with normal messages - Only use app mentions (@botname) to avoid infinite loops where the bot replies to its own messages. 💡 Context Awareness - The bot remembers conversation history, so you can reference "yesterday", "last week", or previous transactions naturally. 🔒 Data Privacy - All your financial data stays in your Google Sheets and PostgreSQL database. The AI only processes transaction text temporarily. 📊 Backup Regularly - Export your Google Sheets periodically as backup. --- Pro Tips: Start with small test transactions to ensure everything works Use consistent person names for debt tracking The bot understands various formats: "₹500 cash food" = "paid 500 rupees in cash for food" You can batch transactions in one message: "₹100 travel, ₹200 food, ₹50 snacks"