AI Resume Screener & Scorer

1. Get your Claude API key from console.anthropic.com and store it as a credential. 2. Create a Google Sheet with columns: Candidate Name, Email, Role Applied, Overall Score (0-100), Skills Match, Experience Match, Culture Fit Score, Strengths, Gaps, Reasoning, and Date Received. 3. Set up a Gmail trigger that watches for new emails matching a label or filter (e.g., subject contains "Application" or emails to careers@yourcompany.com). 4. Add a node to extract the resume attachment (PDF or DOCX) and convert it to text. Use a PDF parse node or HTTP request to a document parsing service. 5. Add an HTTP Request node to call the Claude API (POST https://api.anthropic.com/v1/messages) with model "claude-sonnet-4-20250514". In the system prompt, include the job requirements, required skills, and evaluation rubric. Ask Claude to return JSON with: candidateName, overallScore (0-100), skillsMatch (0-100), experienceMatch (0-100), cultureFit (0-100), strengths (array), gaps (array), reasoning (string). 6. Parse the Claude response and map fields to your Google Sheet columns. Append a new row for each resume. 7. Add a filter node: if overallScore > 80, send a Slack notification to your hiring channel with the candidate name, score, and top strengths. 8. Test by sending a sample resume email and verify the full pipeline — parsing, scoring, sheet update, and Slack alert.