job-evaluation
Analyze and evaluate jobs for internal equity and leveling using point-factor methods
Profile →npx skills add a5c-ai/babysitter --skill job-evaluation --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.
# Job Evaluation Skill ## Overview The Job Evaluation skill provides capabilities for analyzing and evaluating jobs to establish internal equity, create job architecture, and support compensation decisions. This skill enables systematic job leveling through point-factor methods and career framework development. ## Capabilities ### Point-Factor Evaluation - Apply point-factor job evaluation methods - Calculate factor weights and scores - Evaluate jobs consistently - Handle hybrid and unique roles - Support multiple evaluation systems (Hay, Mercer IPE) ### Job Architecture - Create job family and career level frameworks - Define job family structures - Establish career ladders - Create job profiles - Document leveling criteria ### Internal Equity Analysis - Calculate internal equity relationships - Identify pay grade inconsistencies - Compare job values across departments - Detect compression issues - Support equity adjustments ### Job Documentation - Generate job architecture documentation - Create job description templates - Build leveling guides and criteria - Document evaluation rationale - Maintain evaluation records ### Market Matching - Map jobs to market survey matches - Supp
- Overview
- Capabilities
- Point-Factor Evaluation
- Job Architecture
- Internal Equity Analysis
- Job Documentation
- Market Matching
- Usage
- Job Evaluation
- Career Framework
- Process Integration
- Best Practices
- Metrics and KPIs
- Related Skills
What does the job-evaluation skill do?
Analyze and evaluate jobs for internal equity and leveling using point-factor methods
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill job-evaluation --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.