resume-screening
Intelligent resume parsing and candidate screening with bias-reduction capabilities
Profile →npx skills add a5c-ai/babysitter --skill resume-screening --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Resume Parsing and Screening Skill ## Overview The Resume Parsing and Screening skill provides intelligent resume analysis and candidate evaluation capabilities. This skill enables structured data extraction, skills matching, fit scoring, and bias-reduction through standardized evaluation methods. ## Capabilities ### Resume Parsing - Parse resumes in multiple formats (PDF, Word, text) - Extract structured data (skills, experience, education) - Normalize job titles and company names - Handle international formats and languages - Process LinkedIn profiles and portfolios ### Skills Matching - Match candidates against job requirements - Map candidate skills to role competencies - Identify transferable skills - Calculate skills gap analysis - Suggest development areas ### Fit Scoring - Calculate fit scores based on configurable criteria - Weight experience vs. skills vs. education - Apply minimum threshold filters - Generate comparative rankings - Provide score explanations ### Red Flag Detection - Detect potential red flags (gaps, inconsistencies) - Flag employment tenure concerns - Identify career trajectory issues - Note credential verification needs - Surface information inconsist
- Overview
- Capabilities
- Resume Parsing
- Skills Matching
- Fit Scoring
- Red Flag Detection
- Candidate Summaries
- Bias Reduction
- Usage
- Candidate Scoring
- Process Integration
- Best Practices
- Metrics and KPIs
- Related Skills
What does the resume-screening skill do?
Intelligent resume parsing and candidate screening with bias-reduction capabilities
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill resume-screening --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.