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ai-recruiter

Source and evaluate candidates with boolean LinkedIn searches and CV scoring.

Updated Feb 9, 2026
Search Tags:#gmail#sourcing#google-sheets#recruiting#interview-scheduling#cv-screening
One-click install
npx skills add https://github.com/corbintalbert9744-art/SeraphimTweaks --skill ai-recruiter-corbintalbert9744-art
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-recruiter
Source: https://github.com/corbintalbert9744-art/SeraphimTweaks/tree/main/secondary_skills/ai-recruiter
Command: npx skills add https://github.com/corbintalbert9744-art/SeraphimTweaks --skill ai-recruiter-corbintalbert9744-art

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Help hiring teams eliminate manual, fragmented recruiting work by automating sourcing, CV screening, outreach, scheduling, and pipeline tracking so roles are filled faster and with better-fit candidates.

Core Features & Use Cases

  • Job analysis & role calibration: turn job descriptions into must-have vs learnable requirements and prioritize search criteria.
  • Sourcing & boolean search: generate boolean LinkedIn/X-ray queries and provide direct LinkedIn search links and candidate profile suggestions.
  • CV screening & scoring: evaluate uploaded resumes against JDs, surface must-have matches, gaps, red flags, and ranked recommendations.
  • Outreach & Gmail integration: craft personalized outreach and decision emails, guide users through Gmail setup, and send messages only after explicit confirmation.
  • Pipeline tracking & scheduling: create and populate Google Sheets tracking pipelines and schedule interviews via Google Calendar with prepared scorecards and reminders.
  • Process design: design end-to-end hiring funnels, tests, interview question banks, and evaluation scorecards tailored to role seniority and company stage.
  • Use Case: For hiring a senior backend engineer, produce boolean searches, find 10–15 candidate profiles, screen submitted CVs, draft outreach, set up a shared tracking sheet, and schedule interviews.

Quick Start

Find and screen candidates for a Senior Backend Engineer role, draft personalized outreach emails, and propose interview slots.

Frequently Asked Questions about ai-recruiter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate boolean LinkedIn search queries for candidate sourcing?▼

Generate boolean LinkedIn sourcing queries by analyzing a job description to prioritize must-have requirements. The system converts role calibration criteria into X-ray search strings and provides direct links to find specific candidate profiles.

How does CV screening and scoring against a job description work?▼

CV screening evaluates uploaded resumes against job descriptions to score candidate fit. The process surfaces must-have matches, identifies skill gaps and red flags, and outputs a ranked list of recommendations for the hiring pipeline.

Can I automate interview scheduling and pipeline tracking using Google Calendar and Sheets?▼

Automate interview scheduling and pipeline tracking by populating Google Sheets with candidate data and booking slots via Google Calendar. The workflow outputs prepared evaluation scorecards, interview question banks, and automated reminders.

Does Gmail integration send candidate outreach emails automatically?▼

Gmail integration drafts personalized candidate outreach emails but does not send them automatically. The system requires explicit user confirmation before executing the send action to ensure oversight of all communications.

What is the best way to design an end-to-end hiring funnel for a senior engineering role?▼

Design an end-to-end hiring funnel by analyzing the senior engineering job description, creating boolean searches, shortlisting candidates, drafting outreach, and setting up a shared tracking sheet with tailored interview scorecards.

Do I need to provide a job description to start the recruiting workflow?▼

A job description is required to start the recruiting workflow. Role calibration analyzes the provided text to separate must-have skills from learnable requirements, which drives accurate boolean search generation and CV scoring.

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