AI resume processing and GitHub analysis with VLM run

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Important notice

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

1. Workflow Overview

Automatically transform resume submissions into comprehensive candidate profiles with AI powered parsing, GitHub analysis, and instant team notifications. What this workflow does 1. Monitors Gmail ...

Best for

HR automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.gmail, n8n-nodes-base.stickynote, n8n-nodes-base.gmailtrigger, @vlm-run/n8n-nodes-vlmrun.vlmrun, n8n-nodes-base.if, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.merge

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI resume processing and GitHub analysis with VLM run
Workflow name: AI resume processing and GitHub analysis with VLM run

Automatically transform resume submissions into comprehensive candidate profiles with AI-powered parsing, GitHub analysis, and instant team notifications.

What this workflow does

Monitors Gmail for incoming resume attachments
Extracts structured data using VLM Run AI document parsing
Analyzes GitHub profiles with deep repository intelligence (30+ frameworks detected)
Creates comprehensive candidate profiles with technical skills assessment
Delivers multi-channel notifications via Google Sheets, Slack, and candidate emails

Setup

Prerequisites: Gmail account, VLM Run API credentials, Google Sheets access, Slack workspace, n8n.

Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows.

Quick Setup:

Configure Gmail OAuth2 for resume monitoring
Add VLM Run API credentials for document parsing
Create Google Sheets candidate database
Set up Slack integration for team notifications
Update spreadsheet/channel IDs in workflow nodes
Test with sample resume and activate

Perfect for

HR departments and technical recruiting teams
Startup hiring and talent acquisition agencies
Developer assessment and skill evaluation
Remote team hiring and candidate screening
Any organization seeking data-driven hiring decisions

Key Benefits

Eliminates manual data entry - AI extracts all contact info, skills, and experience
GitHub intelligence engine - Analyzes repositories, calculates experience, detects technologies
Comprehensive skill assessment - Identifies programming languages, frameworks, and project metrics
Professional candidate experience - Automated acknowledgment emails with personalized touches
Instant team collaboration - Rich Slack notifications with GitHub profile highlights
Structured data storage - Searchable candidate database with 20+ data columns
Saves hours per candidate - Transforms 30-minute manual reviews into instant insights

How to customize

Extend by adding:

Integration with ATS systems (Greenhouse, Lever, BambooHR)
LinkedIn profile analysis and social media insights
Automated interview scheduling based on qualifications
Skills-based candidate scoring and ranking algorithms
Integration with code assessment platforms
Multi-language resume support and translation
Custom evaluation criteria and filtering rules
Advanced GitHub metrics (code quality, contribution patterns)

This workflow revolutionizes technical hiring by combining AI-powered resume parsing with deep GitHub analysis, delivering comprehensive candidate intelligence that empowers data-driven hiring decisions while maintaining a professional candidate experience.

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 - Send Acknowledgement Email

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 2 - 🔍 GitHub Analysis Documentation3

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

Block 3 - 🤖 AI Processing Documentation1

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

Block 4 - 📧 Intake Documentation1

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

Block 5 - 📋 Workflow Overview1

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

Block 6 - 📊 Output Documentation1

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

Block 7 - Monitor Gmail for Resumes

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

Block 8 - Parse Resume with VLM Run

Type / Role: @vlm-run/n8n-nodes-vlmrun.vlmRun - vlmRun
Config choices: Version 1

Block 9 - Check for Github Profile

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 10 - Extract GitHub Username

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Fetch GitHub Profile

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Fetch GitHub Repositories

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 13 - Process Profile Data

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Analyze Repository Data

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 15 - Combine GitHub Data

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 16 - Flatten Response

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 17 - Save to Google Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 18 - Send Slack Notification

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

3. Summary Table

Workflow	AI resume processing and GitHub analysis with VLM run
Complexity	advanced
Nodes	18
Categories	HR, AI Summarization
Author	Shahrear
Published	25 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5306/5306.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 HR workflows AI Summarization workflows

Frequently asked questions

What does AI resume processing and GitHub analysis with VLM run 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 HR, AI Summarization use case.

Shahrear

11 workflows

Nodes

n8n-nodes-base.gmail n8n-nodes-base.stickynote n8n-nodes-base.gmailtrigger @vlm-run/n8n-nodes-vlmrun.vlmrun n8n-nodes-base.if n8n-nodes-base.code n8n-nodes-base.httprequest n8n-nodes-base.merge

Complexity

advanced

Published 25 Jun 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5306/5306.json

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AI resume processing and GitHub analysis with VLM run

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What this workflow does

Setup

Perfect for

Key Benefits

How to customize

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Send Acknowledgement Email

Block 2 - 🔍 GitHub Analysis Documentation3

Block 3 - 🤖 AI Processing Documentation1

Block 4 - 📧 Intake Documentation1

Block 5 - 📋 Workflow Overview1

Block 6 - 📊 Output Documentation1

Block 7 - Monitor Gmail for Resumes

Block 8 - Parse Resume with VLM Run

Block 9 - Check for Github Profile

Block 10 - Extract GitHub Username

Block 11 - Fetch GitHub Profile

Block 12 - Fetch GitHub Repositories

Block 13 - Process Profile Data

Block 14 - Analyze Repository Data

Block 15 - Combine GitHub Data

Block 16 - Flatten Response

Block 17 - Save to Google Sheet

Block 18 - Send Slack Notification

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