Performance Review Generator Skill
SkillDocs & knowledgeGenerate performance review documentation and facilitate evaluation processes
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Performance Review Generator Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/human-resources/skills/performance-review/SKILL.md and read by ahel’s review.
Overview
The Performance Review Generator skill provides capabilities for creating performance evaluation documentation and facilitating the review process. This skill enables self-assessments, manager evaluations, calibration frameworks, and development planning.
Capabilities
Self-Assessment Templates
- Create self-assessment templates by role
- Generate competency-based questions
- Include goal achievement sections
- Add development reflection prompts
- Support evidence documentation
Manager Evaluation Forms
- Generate manager evaluation forms with competencies
- Create role-specific rating criteria
- Build behaviorally-anchored scales
- Include narrative feedback sections
- Support multi-rater input
Calibration Support
- Build calibration session frameworks
- Create rating distribution guidelines
- Generate discussion guides
- Support forced ranking exercises
- Track calibration outcomes
Rating Calculations
- Calculate performance ratings and distributions
- Apply weighting formulas
- Generate calibrated scores
- Track rating history
- Identify rating patterns
Performance Summaries
- Generate performance summary documents
- Create year-over-year comparisons
- Summarize strengths and development areas
- Document key accomplishments
- Include stakeholder feedback
Development Planning
- Create development recommendation templates
- Link performance gaps to development actions
- Generate IDP suggestions
- Track development progress
- Connect to learning resources
Process Management
- Track review completion and deadlines
- Send reminder notifications
- Monitor compliance rates
- Generate status reports
- Manage review cycles
Usage
Review Form Generation
const reviewConfig = {
cycle: 'Annual Review 2026',
employee: {
id: 'EMP-12345',
role: 'Senior Engineer',
department: 'Engineering',
manager: 'MGR-67890'
},
sections: [
{
type: 'goal-achievement',
weight: 40,
goals: ['Q1-OKR-001', 'Q2-OKR-002', 'Q3-OKR-003', 'Q4-OKR-004']
},
{
type: 'competency-assessment',
weight: 40,
competencies: ['Technical Excellence', 'Collaboration', 'Innovation', 'Leadership']
},
{
type: 'values-alignment',
weight: 20,
values: ['Customer Focus', 'Integrity', 'Growth Mindset']
}
],
ratingScale: {
type: '5-point',
labels: ['Needs Improvement', 'Developing', 'Meets Expectations', 'Exceeds', 'Exceptional']
}
};
Calibration Session Setup
const calibrationConfig = {
session: 'Engineering Calibration Q4-2026',
managers: ['MGR-001', 'MGR-002', 'MGR-003'],
employees: ['EMP-list'],
guidelines: {
distribution: 'recommended',
targetDistribution: {
exceptional: 10,
exceeds: 20,
meets: 55,
developing: 10,
needsImprovement: 5
}
},
discussionFormat: {
orderBy: 'rating-then-tenure',
timePerEmployee: 5,
focusAreas: ['rating-changes', 'promotion-ready', 'development-needed']
}
};
Process Integration
This skill integrates with the following HR processes:
| Process | Integration Points |
|---|---|
| performance-review-cycle.js | Full review workflow |
| 360-degree-feedback.js | Multi-rater integration |
| performance-improvement-plan.js | Low performer identification |
Best Practices
- Clear Criteria: Define performance standards before the cycle
- Ongoing Feedback: Reviews should summarize, not surprise
- Evidence-Based: Require examples to support ratings
- Calibration: Always calibrate before finalizing ratings
- Development Focus: Balance evaluation with growth planning
- Timeliness: Complete reviews within defined windows
Metrics and KPIs
| Metric | Description | Target |
|---|---|---|
| Completion Rate | Reviews completed on time | >95% |
| Distribution Health | Alignment with guidelines | Within 5% |
| Feedback Quality | Narrative word count and specificity | >200 words |
| Employee Satisfaction | Survey of process fairness | >70% |
| Development Planning | Employees with IDPs | 100% |
Related Skills
- SK-005: OKR Management (goal integration)
- SK-007: 360 Feedback (multi-rater input)
- SK-008: PIP Documentation (low performer support)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
performance-review- Source
- github.com/a5c-ai/babysitter
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