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Implement AI-ready GitHub issues with CloudCLI and Telegram summaries

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1. Workflow Overview

Quick overview This workflow runs nightly at 2:00 AM to find open GitHub issues labeled “ai ready”, uses CloudCLI to implement each issue and open a pull request against a target branch, comments b...

Best for

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

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.github, n8n-nodes-base.telegram, @cloudcli-ai/n8n-nodes-cloud-cli.cloudcli, n8n-nodes-base.splitinbatches, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Implement AI-ready GitHub issues with CloudCLI and Telegram summaries
Workflow name
Implement AI-ready GitHub issues with CloudCLI and Telegram summaries

Quick overview

This workflow runs nightly at 2:00 AM to find open GitHub issues labeled “ai-ready”, uses CloudCLI to implement each issue and open a pull request against a target branch, comments back on the issue, and sends a run summary to Telegram.

How it works

  1. Runs every night at 2:00 AM on a schedule.
  2. Loads the repository, label, base branch, CloudCLI environment URL, and Telegram chat ID from a configuration step.
  3. Fetches all open GitHub issues in the configured repository that match the configured label.
  4. Processes the issues one by one and sends each issue title and body to CloudCLI to implement the change, create a branch, and open a pull request against the configured base branch.
  5. Posts a comment on each GitHub issue noting that CloudCLI opened a pull request and includes the CloudCLI environment link.
  6. After all issues are processed, sends a Telegram message summarizing the run and listing the issues handled.

Setup

  1. Add GitHub credentials with permission to read issues and create issue comments, and ensure the configured repo owner and repo name match your repository.
  2. Add CloudCLI credentials, set the CloudCLI environment ID/URL in the configuration, and provide a GitHub token in the CloudCLI node so it can push branches and open pull requests.
  3. Add Telegram bot credentials and set your target Telegram chat ID in the configuration.
  4. Update the configuration values (label and base branch) to match your triage label (for example, ai-ready) and the branch you want pull requests opened against (for example, main).

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 - Every Night 2AM

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Set Configuration

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Find AI-Ready Issues

Type / Role
n8n-nodes-base.github - github
Config choices
Version 1.1

Block 4 - Telegram Summary

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

Block 5 - CloudCLI Implement Issue

Type / Role
@cloudcli-ai/n8n-nodes-cloud-cli.cloudCli - cloudCli
Config choices
Version 1

Block 6 - Comment On Issue

Type / Role
n8n-nodes-base.github - github
Config choices
Version 1.1

Block 7 - Loop Over Issues

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 8 - Workflow Overview

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

3. Summary Table

Workflow Implement AI-ready GitHub issues with CloudCLI and Telegram summaries
Complexity intermediate
Nodes 8
Categories Engineering, Multimodal AI
Author Derek Cheung
Published 30 May 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/16035/16035.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 Implement AI-ready GitHub issues with CloudCLI and Telegram summaries do?

Quick overview This workflow runs nightly at 2:00 AM to find open GitHub issues labeled “ai ready”, uses CloudCLI to implement each issue and open a pull request against a target branch, comments b...

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 Engineering, Multimodal AI use case.