This article provides a complete, practical walkthrough of the Noop Github Automate 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:
   Automating GitHub Issue Assignment with n8n: A Workflow Breakdown
   
   Meta Description:
   Streamline your open-source contribution process by automating GitHub issue assignment using n8n. Learn how this powerful workflow detects intent through comments and assigns contributors automatically.
   
   Keywords:
   n8n workflow, GitHub automation, assign GitHub issues, GitHub issue management, n8n GitHub integration, open source automation, GitHub bot, automate issue assignment, low-code automation, GitHub API
   
   Third-Party APIs Used:
   - GitHub API (via OAuth2 credentials)
   
   Article:
   
   Automating GitHub Issue Assignment with n8n: A Workflow Breakdown
   
   Managing open-source repositories on platforms like GitHub can be a rewarding yet time-consuming task—especially when it comes to issue management. What if you could eliminate repetitive admin work and let contributors self-assign themselves to issues simply by typing a comment?
   
   In this article, we’ll walk through an n8n workflow designed to automate assigning GitHub issues based on user activity and intent detection. Whether an issue is newly created or a contributor comments "Assign me", this automation handles it gracefully—freeing up time and keeping your projects more organized.
   
   Overview of the Workflow
   
   This n8n workflow titled “Automate assigning GitHub issues” listens for specific GitHub events, intelligently identifies who should be assigned, and updates the issue accordingly. It does so by analyzing both new issue creations and comments using a combination of conditional logic and regular expressions.
   
   Trigger: GitHub Events
   
   The workflow begins with the GitHub Trigger node. It listens for two relevant events on the GitHub repository build-discord-bot:
   
   - issues (when a new issue is created or updated)
   - issue_comment (when a new comment is added to an issue)
   
   This trigger ensures that the workflow is activated whenever someone opens an issue or comments on an existing one.
   
   Routing Logic with the Switch Node
   
   The next step is the Switch node, which distinguishes whether the incoming event is an issue creation (action: "opened") or a new comment on an issue (action: "created"). This separation is crucial because the logic for assigning differs depending upon the context.
   
   Path 1: Assigning the Issue Creator
   
   If the event is an issue being opened, the workflow proceeds to the "IF no assignee?" node. This conditional block checks two things:
   
   - The issue currently has no assignees.
   - The issue body contains a variation of the phrase “Assign me” (detected using regex).
   
   If both conditions are met, the workflow uses the GitHub node named "Assign Issue Creator" to assign the issue to the user who created it. It also adds an "assigned" label for visibility.
   
   In cases where the condition fails (e.g., someone already assigned, or no assignment intent), the flow goes to a NoOp node, effectively doing nothing further.
   
   Path 2: Assigning a Commenter
   
   If the event is a comment, the flow routes to the "IF wants to work?" node. This step checks the comment body for phrases like “Assign me” using a regex.
   
   If the regex matches, it checks whether the issue is still unassigned through the "IF not assigned?" node. There are two potential outcomes:
   
   - If unassigned: The commenter is assigned the issue using the "Assign Commenter" node.
   - If already assigned: A friendly comment is added using the "Add Comment" node to inform the user that someone else is already handling the issue.
   
   Smart Use of Regex
   
   One clever part of this workflow is its use of regex to detect contributor intent. The regex pattern /[a,A]ssign[\w*\s*]*me/gm captures variations like “Assign me”, “assignMe”, or even “Assign   me please”. This empowers users to communicate naturally while the automation still understands their intent.
   
   Credentials and APIs
   
   This entire workflow is powered by n8n’s GitHub OAuth2 integration. With OAuth2 credentials securely configured, the GitHub nodes can perform actions such as editing issues, assigning users, and creating comments without manual intervention.
   
   Why This Workflow Matters
   
   Automating issue assignments has several benefits:
   
   - Faster response times for contributors eager to help
   - Less burden on maintainers to manually manage issues
   - Greater engagement from the community
   - Stronger communication transparency (“This issue is already assigned…” comment)
   
   For developers managing communal or open-source projects, these little automations let them focus on collaboration and code quality—not repetitive admin tasks.
   
   Conclusion
   
   This n8n workflow showcases the power of low-code automation combined with API access and smart logic. By listening for GitHub events and responding intelligently to user interactions, it lets your repository manage itself in many small, meaningful ways.
   
   If you’re running an open-source project or even a private project with multiple contributors, try automating issue assignment. With n8n and GitHub APIs, setting it up is easier than you think—and once it’s in place, you’ll wonder how you ever worked without it.
   
   Want to try this out or improve it further? Fork it, extend it, and make GitHub even more contributor-friendly.
   
   Happy automating!

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.