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๐Ÿ”ฅ๐Ÿ“ˆ๐Ÿค– AI agent for n8n creators leaderboard - find popular workflows

Joseph LePageJoseph LePage
7237 views
2/3/2026
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n8n Creators Leaderboard Workflow

Why Use This Workflow?

The n8n Creators Leaderboard Workflow is a powerful tool for analyzing and presenting detailed statistics about workflow creators and their contributions within the n8n community. It provides users with actionable insights into popular workflows, community trends, and top contributors, all while automating the process of data retrieval and report generation.

Benefits

  • Discover Popular Workflows: Identify workflows with the most unique visitors and inserters (weekly and monthly).
  • Understand Community Trends: Gain insights into what workflows are resonating with the community.
  • Recognize Top Contributors: Highlight impactful creators to foster collaboration and inspiration.
  • Save Time with Automation: Automates data fetching, processing, and reporting for efficiency.

Use Cases

  • For Workflow Creators: Track performance metrics of your workflows to optimize them for better engagement.
  • For Community Managers: Identify trends and recognize top contributors to improve community resources.
  • For New Users: Explore popular workflows as inspiration for building your own automations.

How It Works

This workflow aggregates data from GitHub repositories containing statistics about workflow creators and their templates. It processes this data, filters it based on user input, and generates a detailed Markdown report using an AI agent.

Key Features

  1. Data Aggregation: Fetches creator and workflow statistics from GitHub JSON files.
  2. Custom Filtering: Focuses on specific creators based on a username provided via chat.
  3. AI-Powered Reports: Generates comprehensive Markdown reports with summaries, tables, and insights.
  4. Output Flexibility: Saves reports locally with timestamps for easy access.

Data Retrieval & Processing

  • Creators Data: Retrieved via an HTTP Request node from a JSON file containing aggregated statistics about creators.
  • Workflows Data: Pulled from another JSON file with workflow metrics like visitor counts and inserter statistics.
  • Data Merging: Combines creator and workflow data by matching usernames to provide enriched statistics.

Report Generation

The AI agent generates a Markdown report that includes:

  • A summary of the creatorโ€™s contributions.
  • A table of workflows with key metrics (e.g., unique visitors, inserters).
  • Insights into trends or community feedback.

The report is saved locally as a file with a timestamp for tracking purposes.


Quick Start Guide

Prerequisites

  1. Ensure your n8n instance is running.
  2. Verify that the GitHub base URL and file variables are correctly set in the Global Variables node.
  3. Confirm that your OpenAI credentials are configured for the AI Agent node.

How to Start

  1. Activate the Workflow: Make sure the workflow is active in your n8n environment.
  2. Trigger via Chat: Use the Chat Trigger node to initiate the workflow by sending a message like:
    show me stats for username [desired_username]
    Replace [desired_username] with the username you want to analyze.
  3. Processing & Report Generation: The workflow fetches data, processes it, and generates a Markdown report.
  4. View Output: The final report is saved locally as a file (with a timestamp), which you can review to explore leaderboard insights.

AI Agent for n8n Creators Leaderboard - Find Popular Workflows

This n8n workflow leverages an AI agent to identify and present popular n8n workflows based on a given query. It acts as an intelligent assistant, allowing users to discover relevant and highly-rated workflows from the n8n community or blog.

What it does

This workflow automates the process of finding popular n8n workflows by:

  1. Receiving a Chat Message: It starts by listening for incoming chat messages, which are expected to contain a query about n8n workflows.
  2. Initializing AI Agent: An AI agent is initialized with a simple memory to maintain context during the conversation.
  3. Providing Tools to the AI Agent: The AI agent is equipped with a "Call n8n Workflow Tool" that allows it to execute other n8n workflows. This is crucial for the agent to perform actions like searching for workflows.
  4. Processing Query with AI Agent: The AI agent receives the user's query and, using its tools and understanding, plans how to fulfill the request. This likely involves calling another workflow to perform the actual search.
  5. Responding to the User: After the AI agent processes the query and potentially retrieves information, it formulates a response and sends it back to the user via the chat.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: An active n8n instance to import and run the workflow.
  • AI Agent Credentials:
    • OpenAI API Key or Ollama Chat Model: Depending on your chosen Large Language Model (LLM), you will need either an OpenAI API key configured as an n8n credential, or a running Ollama instance accessible by n8n.
  • Chat Integration: A configured chat service (e.g., Slack, Telegram, Mattermost) that can send messages to the "Chat Trigger" node and receive responses.
  • "Call n8n Workflow Tool" Configuration: The "Call n8n Workflow Tool" node will need to be configured to point to the specific workflow(s) that the AI agent should execute to perform tasks like searching for popular workflows. This implies there's a separate workflow designed for searching/retrieving workflow data.

Setup/Usage

  1. Import the Workflow: Download the JSON definition and import it into your n8n instance.
  2. Configure Chat Trigger: Set up the "When chat message received" node to listen to your preferred chat service and channel.
  3. Configure AI Agent Credentials:
    • If using OpenAI: Ensure your OpenAI API key is configured as a credential in n8n and selected in the "OpenAI Chat Model" node.
    • If using Ollama: Ensure your Ollama instance is running and accessible, and configure the "Ollama Chat Model" node accordingly.
  4. Configure "Call n8n Workflow Tool":
    • Edit the "Call n8n Workflow Tool" node.
    • Specify the Workflow ID of the n8n workflow that the AI agent should call to perform the actual search for popular workflows. This dependent workflow needs to exist and be accessible.
    • Define the Input Schema and Output Schema for the tool, describing what data the AI agent can pass to and expect from the called workflow.
  5. Activate the Workflow: Once configured, activate the workflow.
  6. Interact via Chat: Send a chat message with your query (e.g., "Find popular workflows for data transformation") to the configured chat service. The AI agent will process your request and respond.

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