hiring-helper

Screen candidate resumes and interviews with AI evaluation to produce structured reports.

16|3|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/dazuck/operator-skills --skill hiring-helper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hiring-helper
Source: https://github.com/dazuck/operator-skills/tree/main/skills/hiring-helper
Command: npx skills add https://github.com/dazuck/operator-skills --skill hiring-helper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Screening candidates is time-consuming and error-prone when done manually, leading to inconsistent assessments and slower hiring.

Core Features & Use Cases

  • AI-assisted universal-trait evaluation for resumes, portfolios, and interviews.
  • Batch screening and structured reporting to accelerate shortlisting.
  • Role-specific rubrics and red-flag detection to improve quality of hires.

Quick Start

Screen a list of candidate resumes and return a structured evaluation based on universal traits and role-specific criteria.

Frequently Asked Questions about hiring-helper

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

FAQPage Schema
How do I automate resume screening for a batch of candidates?

Automate resume screening by batch-processing candidate profiles with AI-powered evaluation to identify high-potential hires. The tool applies universal trait scoring and role-specific rubrics to generate structured, actionable candidate reports.

Can I evaluate candidate portfolios and interviews using AI?

Yes, AI-assisted evaluation supports candidate portfolios and interviews alongside resumes. It applies universal trait scoring and role-specific rubrics across multiple roles and levels to produce structured assessments.

What is the best way to standardize candidate evaluation across different roles?

Standardize candidate evaluation by integrating role-specific rubrics with universal trait scoring. This approach ensures consistent assessments across resumes, portfolios, and interviews while detecting red flags to improve hire quality.

Does AI candidate screening support batch processing and structured reporting?

AI candidate screening supports batch evaluation and structured reporting to accelerate shortlisting. It processes multiple candidates simultaneously, applying universal traits and role-specific criteria to return actionable reports.

How does red-flag detection work during candidate evaluation?

Red-flag detection works by applying role-specific rubrics and universal trait scoring to resumes, portfolios, and interview data. This structured evaluation identifies potential issues early, improving overall hire quality and consistency.