Github Parasite SEO AI Agent

What This Agent Does

This powerful automation workflow transforms your Google Sheets data into SEO-optimized content and automatically publishes it to GitHub repositories. The agent reads content topics from a spreadsheet, generates high-quality articles using Claude AI, creates dedicated GitHub repositories for each piece, and tracks the publishing status back in your sheetÔÇöall without manual intervention.

Key benefits: Save 5-10 hours per week on content creation and publishing workflows, eliminate manual copy-paste errors, and maintain a consistent content pipeline. This automation is perfect for content marketing teams managing multiple blogs, SEO agencies handling client content at scale, or developers building documentation sites from structured data.

Ideal use cases: Automated blog post generation and publishing, bulk content creation for multiple websites, SEO content campaigns with tracking, documentation generation from spreadsheet specifications, and multi-repository content management systems.

Required Integrations

Google Sheets

Google Sheets serves as your content control center, storing article topics, tracking generation status, and maintaining a complete audit trail of your automated content pipeline.

Setup steps:

1. Navigate to Integrations in your TaskAGI dashboard
2. Click Add Integration and select Google Sheets
3. Click Connect to Google to initiate OAuth authentication
4. Select the Google account that has access to your content spreadsheets
5. Grant TaskAGI permission to read and write spreadsheet data
6. Confirm the integration appears as "Connected" in your integrations list

Required permissions: The integration needs read access to retrieve content topics and write access to update publishing status. Your spreadsheet should contain columns for content topics, target keywords, and status tracking. A typical setup includes columns like "Topic", "Keywords", "Status", and "Repository URL".

Configuration tip: Use a dedicated Google account for automation workflows to maintain clear separation between manual and automated spreadsheet access.

Anthropic (Claude AI)

Claude AI powers the content generation engine, transforming your topic ideas into well-researched, SEO-optimized articles that match your brand voice and content guidelines.

Setup steps:

1. Visit console.anthropic.com and create an account or sign in
2. Navigate to API Keys in the Anthropic Console
3. Click Create Key and provide a descriptive name like "TaskAGI Content Generator"
4. Copy the API key immediately (it won't be shown again)
5. Return to TaskAGI and go to Integrations  Add Integration
6. Select Anthropic and paste your API key
7. Click Test Connection to verify the integration works
8. Save the integration

Pricing consideration: This workflow uses the claude-sonnet-4-5-20250929 model, which offers an excellent balance of quality and cost. Monitor your usage in the Anthropic Console to stay within your budget. Each article generation typically consumes 2,000-5,000 tokens depending on content length.

Best practice: Start with a small batch of 5-10 articles to test output quality before scaling to larger volumes.

GitHub

GitHub hosts your generated content in version-controlled repositories, enabling easy collaboration, revision tracking, and integration with static site generators or content management systems.

Setup steps:

1. Log in to your GitHub account at github.com
2. Click your profile picture  Settings  Developer settings
3. Select Personal access tokens  Tokens (classic)
4. Click Generate new token  Generate new token (classic)
5. Provide a descriptive note like "TaskAGI Content Publisher"
6. Set expiration to 90 days or No expiration (for production workflows)
7. Select the following scopes:
   • repo (Full control of private repositories)
   • public_repo (Access to public repositories)
8. Click Generate token and copy it immediately
9. In TaskAGI, go to Integrations  Add Integration  GitHub
10. Paste your personal access token
11. Test the connection and save

Security note: Treat your GitHub token like a password. If compromised, immediately revoke it in GitHub settings and generate a new one. Consider using a dedicated GitHub organization account for automated content publishing.

Configuration Steps

Step 1: Configure the Get Sheet from URL Node

This node retrieves your content planning spreadsheet and makes all rows available for processing.

Configuration:

• sheet_url: Paste your complete Google Sheets URL (e.g., https://docs.google.com/spreadsheets/d/1vFPsA8qyL6...)
• Include headers: Enable this option to use column names in subsequent nodes
• Sheet name: Specify the exact tab name if your spreadsheet has multiple sheets (default is the first sheet)

Expected output: The node returns a rows array containing all spreadsheet data, with each row as an object using column headers as keys.

Step 2: Configure the Loop Node

The Loop node processes each spreadsheet row individually, ensuring every content topic gets its own generated article and repository.

Configuration:

• Input array: Connect to Get Sheet from URL.rows using the data mapper
• Batch size: Set to 1 to process articles one at a time (prevents rate limiting)
• Continue on error: Enable this to prevent one failed article from stopping the entire workflow

Data flow: The loop exposes two key outputs: index (current iteration number) and the current row's data, which flows to the content generation node.

Step 3: Configure the Generate Text (Claude) Node

This is where the magic happensÔÇöClaude transforms your topic into a complete, SEO-optimized article.

Configuration:

• prompt: Customize the content generation instructions. The default prompt begins with "You are an expert SEO content writer, writing cont..." Enhance it with:

  • Specific word count requirements (e.g., "Write a 1500-word article...")
  • Target audience details (e.g., "for small business owners...")
  • Tone and style guidelines (e.g., "in a conversational, friendly tone...")
  • SEO requirements (e.g., "Include the keyword '[KEYWORD]' 5-7 times naturally...")
  • Structure requirements (e.g., "Use H2 and H3 headings, bullet points, and short paragraphs...")

• model: claude-sonnet-4-5-20250929 (pre-configured for optimal performance)

• max_tokens: Set to 4000 for full-length articles (adjust based on your needs)

• temperature: 0.7 provides creative yet focused content (increase to 0.9 for more creativity, decrease to 0.5 for more factual content)

Dynamic content tip: Reference spreadsheet columns in your prompt using {{loop.current.Topic}} or {{loop.current.Keywords}} to personalize each article.

Step 4: Configure the Create Repository Node

Each generated article gets its own GitHub repository, perfect for static site generators or content versioning.

Configuration:

• Repository name: Use dynamic naming like content-{{loop.current.Topic}} or article-{{loop.index}}
• Description: Auto-generate from your content: SEO article about {{loop.current.Topic}}
• Private/Public: Choose false for public repositories (blogs) or true for private content
• Initialize with README: Set to true and populate with {{claude.content}} to store the article as the README.md file
• Auto-init: Enable to create the repository with an initial commit

Naming best practice: Use lowercase, hyphen-separated names (e.g., seo-guide-small-business) for clean, URL-friendly repository names.

Step 5: Configure the Search in Sheet Node

This node locates the correct row in your spreadsheet to update the publishing status.

Configuration:

• sheet_url: Leave as null to inherit from the Get Sheet node, or specify a different tracking sheet
• Search column: The column containing unique identifiers (e.g., "Topic" or "ID")
• Search value: {{loop.current.Topic}} or your unique identifier
• Return entire row: Enable to get all row data for verification

Data validation: The node returns a found boolean and the matching row data, which you'll use in the update step.

Step 6: Configure the Update Cell Node

Mark articles as published and store repository URLs for easy reference.

Configuration:

• sheet_url: Leave as null to use the same sheet
• Row number: {{search.row_number}} (from the Search node)
• Column: "Status" or your tracking column name
• Value: Published - {{github.repository.html_url}} to include both status and link
• Create if not exists: Disable to prevent accidental row creation

Status tracking options:

• Simple: "Published"
• Detailed: "Published on {{$now}}"
• With link: "Published: {{github.repository.html_url}}"

Testing Your Agent

Initial Test Run

1. Prepare test data: Create a Google Sheet with 2-3 test topics in a "Topic" column
2. Start small: Disable the loop or set it to process only the first row initially
3. Click "Test Workflow" in the TaskAGI editor
4. Monitor execution: Watch each node turn green as it completes successfully
5. Check execution time: First runs take 30-60 seconds per article

Verification Checklist

After Get Sheet node:

• Ô£ô Verify the correct number of rows were retrieved
• Ô£ô Check that column headers are properly recognized
• Ô£ô Confirm data formatting looks correct

After Generate Text node:

• Ô£ô Review the generated content quality
• Ô£ô Verify the article length meets requirements
• Ô£ô Check that keywords are naturally incorporated
• Ô£ô Ensure formatting (headings, paragraphs) is appropriate

After Create Repository node:

• Ô£ô Visit the GitHub repository URL in the output
• Ô£ô Confirm the README.md contains your generated article
• Ô£ô Verify repository visibility (public/private) matches your settings
• Ô£ô Check repository name follows your naming convention

After Update Cell node:

• Ô£ô Open your Google Sheet and verify the status column updated
• Ô£ô Confirm the repository URL is clickable and correct
• Ô£ô Check that only the intended row was modified

Success Indicators

Your workflow is functioning correctly when:

• All nodes show green checkmarks
• Generated content is coherent and on-topic
• GitHub repositories are created with proper content
• Spreadsheet status updates appear in the correct rows
• No error messages appear in the execution log

Troubleshooting

"Failed to retrieve spreadsheet" Error

Cause: Incorrect sheet URL or insufficient permissions

Solutions:

• Verify the sheet URL is complete and correct (should start with https://docs.google.com/spreadsheets/d/)
• Ensure the Google account connected to TaskAGI has edit access to the sheet
• Check that the sheet isn't restricted by organization policies
• Try re-authenticating the Google Sheets integration

"API rate limit exceeded" Error

Cause: Too many API calls to Anthropic or GitHub in a short period

Solutions:

• Add a Delay node between loop iterations (5-10 seconds recommended)
• Reduce batch processing size from 50 to 10-20 articles per run
• Upgrade your Anthropic API tier for higher rate limits
• Schedule workflows during off-peak hours

"Repository already exists" Error

Cause: Attempting to create a GitHub repository with a duplicate name

Solutions:

• Add timestamp to repository names: article-{{loop.current.Topic}}-{{$now}}
• Implement a counter in your naming scheme: content-{{loop.index}}
• Check existing repositories before creation using a conditional node
• Use a "Check Repository Exists" node before the Create Repository node

Generated Content Quality Issues

Cause: Insufficient or unclear prompt instructions

Solutions:

• Expand your prompt with specific examples of desired output
• Include content structure requirements (headings, sections, length)
• Add few-shot examples in the prompt showing ideal article format
• Increase max_tokens if content appears cut off
• Adjust temperature (lower for more focused, higher for more creative)

Spreadsheet Updates Not Appearing

Cause: Search node not finding the correct row or column name mismatch

Solutions:

• Verify column names exactly match (case-sensitive)
• Check for extra spaces in column headers
• Use row numbers instead of search if topics aren't unique
• Add a Log node after Search to debug what was found
• Ensure the sheet name is correct if using multiple tabs

Authentication Expired Errors

Cause: OAuth tokens or API keys have expired

Solutions:

• Re-authenticate Google Sheets integration (OAuth tokens expire periodically)
• Generate a new GitHub personal access token with no expiration
• Check Anthropic API key is still valid in the console
• Set up monitoring alerts for integration authentication failures

Next Steps

Optimize Your Workflow

Scale up gradually: Once you've confirmed everything works with test data, increase your batch size to 10-20 articles per run. Monitor execution time and API costs to find your optimal batch size.

Add quality control: Insert a Conditional node after content generation to check article length, keyword density, or other quality metrics before publishing. Route low-quality content to a review queue instead of auto-publishing.

Implement error handling: Add a Try-Catch wrapper around the entire loop to capture failed articles in a separate "Failed" sheet for manual review and retry.

Advanced Enhancements

Multi-language support: Add a "Language" column to your spreadsheet and modify the Claude prompt to generate content in different languages: Write this article in {{loop.current.Language}}...

Content scheduling: Instead of immediate publishing, add a "Publish Date" column and use a Filter node to only process articles scheduled for today or earlier.

SEO optimization: Integrate a Meta Description Generator node that creates SEO-friendly descriptions and stores them in a separate column for easy copy-paste into your CMS.

Webhook notifications: Add a Webhook node at the end to notify your team in Slack or Discord when the content batch is complete, including links to all new repositories.

Analytics tracking: Create a dashboard sheet that logs execution statisticsÔÇöarticles generated, tokens used, cost per article, and success rateÔÇöfor ROI tracking.

Maintenance Best Practices

• Weekly review: Check your Google Sheet for any "Failed" status entries and investigate causes
• Monthly audit: Review generated content quality and adjust prompts based on performance
• Cost monitoring: Track Anthropic API usage and optimize token consumption if costs increase
• Integration health: Test all three integrations monthly to catch authentication issues early
• Backup strategy: Export your content spreadsheet weekly as a backup before running large batches

Pro tip: Create a duplicate workflow for different content types (blog posts, product descriptions, social media) by cloning this workflow and adjusting the Claude prompt. This modular approach keeps your automation organized and maintainable as you scale.