Templates / AI resume processing and GitHub analysis with VLM run

AI resume processing and GitHub analysis with VLM run

Unknown

by Shahrear ✓ · 495 views · created 2025-06-25 · HR, AI Summarization

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This workflow has 13 nodes and runs on Gmail events. Along the way it connects Gmail, Google Sheets, Slack and Vlmrun (community).

How it runs

Trigger: On Gmail events.

  1. Parse Resume with VLM Run (Vlm Run): uses Vlm Run
  2. Check for Github Profile (If): checks a condition and branches into true / false
  3. Extract GitHub Username (Code): runs custom JavaScript code
  4. Flatten Response (Code): runs custom JavaScript code
  5. Fetch GitHub Profile (HTTP Request): calls an HTTP API
  6. Fetch GitHub Repositories (HTTP Request): calls an HTTP API
  7. Send Slack Notification (Slack): uses Slack
  8. Send Acknowledgement Email (Gmail): uses Gmail
  9. Save to Google Sheet (Google Sheets): append or update
  10. Process Profile Data (Code): runs custom JavaScript code

…plus 2 more steps. See the full node list below.

Services it uses

GmailGoogle SheetsSlackVlmrun (community)

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that @vlm-run/n8n-nodes-vlmrun is verified or supports 3.0 (used in Parse Resume with VLM Run).
  • Also check Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll).

Nodes used (9)

From the author

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 for incoming resume attachments 2. Extracts structured data…

Excerpt from Shahrear's description on n8n.io.

View the original on n8n.io → Check your own copy

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