Performance Review Generator Skill

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Generate performance review documentation and facilitate evaluation processes

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Details

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Performance Review Generator SkillStart free

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:

ProcessIntegration Points
performance-review-cycle.jsFull review workflow
360-degree-feedback.jsMulti-rater integration
performance-improvement-plan.jsLow performer identification

Best Practices

  1. Clear Criteria: Define performance standards before the cycle
  2. Ongoing Feedback: Reviews should summarize, not surprise
  3. Evidence-Based: Require examples to support ratings
  4. Calibration: Always calibrate before finalizing ratings
  5. Development Focus: Balance evaluation with growth planning
  6. Timeliness: Complete reviews within defined windows

Metrics and KPIs

MetricDescriptionTarget
Completion RateReviews completed on time>95%
Distribution HealthAlignment with guidelinesWithin 5%
Feedback QualityNarrative word count and specificity>200 words
Employee SatisfactionSurvey of process fairness>70%
Development PlanningEmployees with IDPs100%

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