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Automate weekly tutorials from trending GitHub repos with Gemini AI to WordPress

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Automate weekly tutorials from trending GitHub repos with Gemini AI to WordPress preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

: GitHub to WordPress Tutorial Generator This workflow automates the process of creating technical tutorials for your blog. It runs on a weekly schedule, automatically identifies trending GitHub re...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.wordpress, n8n-nodes-base.emailsend, n8n-nodes-base.splitout

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by David Olusola.

Original n8n.io source

1.1 Workflow description

Title
Automate weekly tutorials from trending GitHub repos with Gemini AI to WordPress
Workflow name
Automate weekly tutorials from trending GitHub repos with Gemini AI to WordPress

Overview: GitHub to WordPress Tutorial Generator

This workflow automates the process of creating technical tutorials for your blog. It runs on a weekly schedule, automatically identifies trending GitHub repositories, uses an AI to generate a detailed tutorial for each one, and then saves the content as a draft post on your WordPress site. Finally, it sends you an email notification so you can review and publish the new content. This is an excellent way to keep your blog fresh with relevant, trending topics without manual effort.


How It Works

  1. Weekly Trigger: The workflow is set to activate every Monday at 10 AM, starting the entire process.
  2. Get Trending Repositories: The workflow makes an HTTP request to the GitHub API to find the most popular repositories.
  3. Split Items: The Split node processes the list of repositories from the GitHub API, handling each one as a separate item. This ensures that a unique tutorial is created for every trending repository.
  4. AI Tutorial Generation: The AI Tutorial Generator node, powered by the Google Gemini Chat Model, takes the information for each repository and, following a detailed prompt, creates a comprehensive tutorial. The prompt instructs the AI to include an introduction, prerequisites, code examples, best practices, and more.
  5. Format Content: A Code node then processes the AI's output. It extracts the title and content, ensuring the data is correctly formatted for the next steps. It's a key step to handle potential variations in the AI's output.
  6. Create WordPress Post: The WordPress node takes the formatted tutorial content and creates a new post on your blog, automatically setting the title, tags, and categories. It's saved as a draft, allowing you to review and edit it before publishing.
  7. Send Notification: Once the post is created, the Email node sends a notification to your email address, letting you know a new tutorial is ready for your review.

Setup Steps

  1. Configure WordPress Credentials: In the Create Tutorial Post node, add your WordPress credentials. This includes your site URL, username, and application password.
  2. Set Up Email Credentials: In the Notify Admin node, add your email service credentials (e.g., SMTP, Gmail) to enable sending email notifications.
  3. Configure GitHub API Access:
    • Manual Mapping: Run the Get Trending Repos node once to get sample data.
    • In the Split Repository Items node, manually map the data by setting the "Field to Split Out" to json.items. This tells the workflow to process each repository in the API response.
    • Optional: For higher API limits, you can create a GitHub Personal Access Token and configure the Get Trending Repos node to use it.
  4. Review AI Prompt: Go to the AI Tutorial Generator node and read the system message. You can adjust the prompt to change the style, length, or content of the tutorials the AI generates.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Weekly Monday 10AM

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 3 - Get Trending Repos

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.1

Block 4 - AI Tutorial Generator

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 5 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 6 - Create Tutorial Post

Type / Role
n8n-nodes-base.wordpress - wordpress
Config choices
Version 1

Block 7 - Notify Admin

Type / Role
n8n-nodes-base.emailSend - emailSend
Config choices
Version 2

Block 8 - Split Repository Items

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 9 - Parse the AI tutorial output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

3. Summary Table

Workflow Automate weekly tutorials from trending GitHub repos with Gemini AI to WordPress
Complexity intermediate
Nodes 9
Categories Content Creation, Multimodal AI
Author David Olusola
Published 15 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7417/7417.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Automate weekly tutorials from trending GitHub repos with Gemini AI to WordPress do?

: GitHub to WordPress Tutorial Generator This workflow automates the process of creating technical tutorials for your blog. It runs on a weekly schedule, automatically identifies trending GitHub re...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.