This article provides a complete, practical walkthrough of the Github Slack Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automate GitHub Star Notifications to Slack Using n8n
   
   Meta Description:
   Learn how to build a no-code automation workflow in n8n that sends real-time Slack notifications every time someone stars or unstars your GitHub repository.
   
   Keywords:
   n8n, GitHub API, Slack API, automation workflow, no-code automation, GitHub stars, Slack integration, GitHub webhook, open-source automation, workflow builder
   
   Third-party APIs Used:
   - GitHub API
   - Slack API
   
   Article:
   
   Automate GitHub Star Notifications to Slack Using n8n
   
   Keeping track of user engagement on your GitHub projects is essential for open-source developers, community managers, and teams that rely on GitHub to manage contributions and gather feedback. One key metric in a project's popularity is the number of stars it receives. n8n, the powerful open-source workflow automation tool, can help you stay informed by automating Slack notifications whenever someone stars—or unstarrs—your repository.
   
   In this article, we’ll walk through a simple n8n workflow that does just that: it listens for star-related events on a GitHub repository and pipes that data directly into a Slack channel. It’s a great example of leveraging no-code automation to enhance community engagement and team updates.
   
   How the Workflow Works
   
   Let’s break down the n8n workflow into its core components:
   
   1. GitHub Trigger Node  
   2. IF Node  
   3. Slack - Add Notification Node  
   4. Slack - Remove Notification Node  
   
   This seamless integration uses GitHub and Slack APIs to deliver real-time updates to your team.
   
   1. GitHub Trigger Node
   
   At the heart of the workflow is the GitHub Trigger node. This node is set up to monitor the n8n organization’s official “n8n” repository for one specific GitHub event: “star”. The node listens for webhook events generated when someone stars or removes a star from the repository.
   
   The key parameters include:
   
   - Owner: n8n-io
   - Repository: n8n
   - Event Type: star
   
   It means that any star-related actions on the repository will automatically kick off this workflow.
   
   2. IF Node – Identifying the Star Action
   
   Once an event is captured by the GitHub Trigger, it is forwarded to an IF node. This decision-making node checks whether the event was a star being “created” or “removed”. It does this by evaluating the action payload from the webhook:
   
   - value1: {{$node["Github Trigger"].data["body"]["action"]}}
   - value2: created
   
   If the condition is true (i.e., someone starred the repo), the workflow proceeds to the Slack - Add node. If false (i.e., someone unstarred it), it goes to the Slack - Remove node.
   
   3. Slack - Add Node – Posting a Notification for a New Star
   
   When a new star is added, n8n sends a message to a specified Slack channel—#general in this case—containing several key pieces of information:
   
   - The GitHub username of the person who starred the project
   - Their avatar image
   - A link to their GitHub profile
   - The updated star count of the repository
   
   A friendly green-colored message appears in Slack, celebrating the new star. This is a great way to keep your team motivated and informed without checking GitHub manually.
   
   Slack attachment snippet:
   
   - Title: Got new star from: [username]
   - Text: The project has now: [star count] Stars
   - Image: User’s GitHub avatar
   - Link: User’s GitHub profile
   - Color: #88FF00 (Green)
   
   4. Slack - Remove Node – Informing the Team of an Unstar
   
   On the flip side, if someone removes their star from the repo, a similar notification goes out—but with a red color theme and different wording, to reflect the subtraction.
   
   Slack attachment snippet:
   
   - Title: Star got removed by: [username]
   - Text: The project has now: [star count] Stars
   - Image: User’s GitHub avatar
   - Link: User’s GitHub profile
   - Color: #FF0000 (Red)
   
   Why This Workflow is Useful
   
   There’s a lot of power in automating community engagement signals, especially when contributing to public or open-source projects. Here's why this simple workflow is useful:
   
   - Stay Informed: You no longer need to check GitHub metrics constantly. Get updates in Slack where your team already communicates.
   - Engage the Community: Recognize and appreciate users who star your project.
   - React Quickly: If stars are dropping unexpectedly, it may be worth digging deeper into community feedback.
   
   Ease of Deployment
   
   Implementing this workflow in n8n is straightforward. Just configure the GitHub API credentials for webhook access and Slack API credentials to send messages. Both platforms offer excellent APIs, and n8n’s UI makes it easy to build and debug the workflow without writing a single line of code.
   
   Conclusion
   
   With this n8n workflow, you can keep your team updated on every GitHub star and unstar event in real time, all inside your Slack workspace. It’s a simple yet powerful automation that embraces the strengths of no-code tools, open APIs, and real-time communication channels.
   
   Whether you're monitoring the pulse of your open-source project or just want to celebrate every bit of community love, this integration will help you stay connected with your contributors and community in a meaningful, automated way.
   
   Start building smarter, communicate better—and let n8n take care of the rest.
   
   Ready to try it? Head over to your n8n instance and start monitoring those GitHub stars automatically!
   
   — ✨ Automated DevOps, made easy.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.