Deploy code to GitHub with natural language via Slack & Claude 3.5

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Important notice

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

1. Workflow Overview

Github Deployer Agent Overview The Github Deployer Agent is an intelligent automation tool that integrates with Slack to streamline code deployment workflows. Powered by Anthropic's Claude 3.5 and ...

Best for

DevOps automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.toolhttprequest, @n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.githubtool, n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.slacktrigger

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Deploy code to GitHub with natural language via Slack & Claude 3.5
Workflow name: Deploy code to GitHub with natural language via Slack & Claude 3.5

Github Deployer Agent

Overview

The Github Deployer Agent is an intelligent automation tool that integrates with Slack to streamline code deployment workflows. Powered by Anthropic's Claude 3.5 and Tavily for web search, it enables seamless, context-aware file pushes to a GitHub repository with minimal user input.

Capabilities

Accepts natural language via Slack
Automatically pushes code to a default GitHub repository
Uses Claude 3.5 for code generation and decision-making
Leverages Tavily for real-time web search to enhance context
Supports folder structure hints to ensure clean and organized repositories

Required Connections

To operate correctly, the following integrations must be in place:

Slack API Token with permission to read messages and post responses
GitHub Personal Access Token with repo write permissions
Tavily API Key for external search functionality
Claude 3.5 API Access via Anthropic

Detailed configuration instructions are provided in the workflow

Example Input

From Slack, you can send messages like: "Generate a basic README.md for my Python project and store it in the root directory."

Customising This Workflow

You can tailor the workflow by:

Modifying default folder paths or repository settings
Integrate Jira node to use issue keys as default folder naming
Add slack file upload option

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 - Tavily

Type / Role: @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
Config choices: Version 1.1

Block 2 - Anthropic Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices: Version 1.2

Block 3 - Try Again

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

Block 4 - Deployer Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 5 - Create a file in GitHub

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

Block 6 - Send a message

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 7 - Sticky Note

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

Block 8 - Sticky Note3

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

Block 9 - Sticky Note4

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

Block 10 - Natural text

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

Block 11 - Sticky Note5

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

Block 12 - Sticky Note8

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

Block 13 - Sticky Note9

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

Block 14 - Sticky Note10

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

Block 15 - Sticky Note6

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

Block 16 - Sticky Note7

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

Block 17 - Sticky Note11

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

3. Summary Table

Workflow	Deploy code to GitHub with natural language via Slack & Claude 3.5
Complexity	advanced
Nodes	17
Categories	DevOps, Multimodal AI
Author	Humble Turtle
Published	07 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5753/5753.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source DevOps workflows Multimodal AI workflows

Frequently asked questions

What does Deploy code to GitHub with natural language via Slack & Claude 3.5 do?

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 DevOps, Multimodal AI use case.

Humble Turtle

4 workflows

Nodes

@n8n/n8n-nodes-langchain.toolhttprequest @n8n/n8n-nodes-langchain.lmchatanthropic n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent n8n-nodes-base.githubtool n8n-nodes-base.slack n8n-nodes-base.stickynote n8n-nodes-base.slacktrigger

Complexity

advanced

Published 07 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5753/5753.json

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Deploy code to GitHub with natural language via Slack & Claude 3.5

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Github Deployer Agent

Overview

Capabilities

Required Connections

Example Input

Customising This Workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Tavily

Block 2 - Anthropic Chat Model

Block 3 - Try Again

Block 4 - Deployer Agent

Block 5 - Create a file in GitHub

Block 6 - Send a message

Block 7 - Sticky Note

Block 8 - Sticky Note3

Block 9 - Sticky Note4

Block 10 - Natural text

Block 11 - Sticky Note5

Block 12 - Sticky Note8

Block 13 - Sticky Note9

Block 14 - Sticky Note10

Block 15 - Sticky Note6

Block 16 - Sticky Note7

Block 17 - Sticky Note11

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions