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AI resume analysis & candidate evaluation with Slack and Google Sheets

Workflow preview

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AI resume analysis & candidate evaluation with Slack and Google Sheets preview
Open on n8n.io

Important notice

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

1. Workflow Overview

Create AI Powered Chatbot for Candidate Evaluation on Slack [![Watch the video](https://wisestackai.s3.ap southeast 1.amazonaws.com/building an ai powered chatbot for candidate evaluation on slack....

Best for

  • AI Chatbot automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.if, n8n-nodes-base.noop, n8n-nodes-base.webhook, n8n-nodes-base.extractfromfile, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googledrive

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
AI resume analysis & candidate evaluation with Slack and Google Sheets
Workflow name
AI resume analysis & candidate evaluation with Slack and Google Sheets

Create AI-Powered Chatbot for Candidate Evaluation on Slack

> This workflow connects a Slack chatbot with AI agents and Google Sheets to automate candidate resume evaluation. It extracts resume details, identifies the applied job from the message, fetches the correct job description, and provides a summarized evaluation via Slack and tracking sheet. Perfect for HR teams using Slack.

Who’s it for

This workflow is designed for:

  • HR Teams, Recruiters, and Hiring Managers
  • Working in software or tech companies using Slack, Google Sheets, and n8n
  • Who want to automate candidate evaluation based on uploaded profiles and applied job positions

How it works / What it does

This workflow is triggered when a Slack user mentions the HR bot and attaches a candidate profile PDF. The workflow performs the following steps:

  1. Trigger from Slack Mention
    • A user mentions the bot in Slack with a message like:
      @HRBot Please evaluate this candidate for the AI Engineer role.
      (with PDF attached)
  2. Input Validation
    • If no file is attached, the bot replies:
      "Please upload the candidate profile file before sending the message."
  3. Extract Candidate Profile
    • Downloads the attached PDF from Slack
    • Uses Extract from File to parse the resume into text
  4. Profile Analysis (AI Agent)
    • Sends the resume text and message to the Profile Analyzer Agent
    • Identifies:
      • Candidate name, email, and summary
      • Applied position (from message)
    • Looks up the Job Description PDF URL using Google Sheets
  5. Job Description Retrieval
    • Downloads and parses the matching JD PDF
  6. HR Evaluation (AI Agent)
    • Sends both the candidate profile and job description to HR Expert Agent
    • Receives a summarized fit evaluation and insights
  7. Output and Logging
    • Sends evaluation result back to Slack in the original thread
    • Updates a Google Sheet with evaluation data for tracking

How to set up

  1. Slack Setup
    • Create a Slack bot and install it into your workspace
    • Enable the app_mention event and generate a bot token
    • Connect Slack to n8n using Slack Bot credentials
  2. Google Sheets Setup
    • Create a sheet mapping Position Title → Job Description URL
    • Create another sheet for logging evaluation results
  3. n8n Setup
    • Add a Webhook Trigger for Slack mentions
    • Connect Slack, Google Sheets, and GPT-4 credentials
    • Set up agents (Profile Analyzer Agent, HR Expert Agent) with appropriate prompts
  4. Deploy & Test
    • Mention your bot in Slack with a message and file
    • Confirm the reply and entry in the evaluation tracking sheet

Requirements

  • n8n (self-hosted or cloud)
  • Slack App with Bot Token
  • OpenAI or Azure OpenAI account (for GPT-4)
  • Google Sheets (2 sheets: job mapping + evaluation log)
  • Candidate profiles in PDF format
  • Defined job titles and descriptions

How to customize the workflow

You can easily adapt this workflow to your team’s needs:

Customization Area How to Customize
Job Mapping Source Replace Google Sheet with Airtable or Notion DB
JD Format Use Markdown or inline descriptions instead of PDF
Evaluation Output Format Change from Slack message to Email or Notion update
HR Agent Prompt Customize to match your company tone or include scoring rubrics
Language Support Add support for bilingual input/output (e.g., Vietnamese & English)
Workflow Trigger Trigger from slash command or form instead of @mention

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 - Is user message?

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

Block 2 - No Operation, do nothing

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

Block 3 - Webhook

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

Block 4 - Extract from File

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

Block 5 - Download Candidate Profile From Slack

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

Block 6 - json parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 7 - gpt4-1 model

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

Block 8 - Download file

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

Block 9 - Extract Job Description

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

Block 10 - HR Expert Agent

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.5

Block 11 - Profile Analyzer Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.1

Block 12 - Update evaluation sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.6

Block 13 - Map Columns

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

Block 14 - gpt-4-1 model 2

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

Block 15 - json parser 2

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 16 - If

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

Block 17 - Send result in the mentioned channel

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

Block 18 - Inform user that profile is missing

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

Block 19 - Query available positions

Type / Role
n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices
Version 4.6

Block 20 - Get information about a user

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

Block 21 - Sticky Note

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

Block 22 - Sticky Note1

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

Block 23 - Sticky Note2

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

Block 24 - Sticky Note3

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

Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow AI resume analysis & candidate evaluation with Slack and Google Sheets
Complexity advanced
Nodes 29
Categories AI Chatbot, Multimodal AI
Author Trung Tran
Published 21 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7708/7708.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 AI resume analysis & candidate evaluation with Slack and Google Sheets do?

Create AI Powered Chatbot for Candidate Evaluation on Slack [![Watch the video](https://wisestackai.s3.ap southeast 1.amazonaws.com/building an ai powered chatbot for candidate evaluation on slack....

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 AI Chatbot, Multimodal AI use case.