Agent Skills: Resource Scheduler

Resource scheduling and assignment optimization skill for personnel and equipment allocation

workflow-automationID: a5c-ai/babysitter/resource-scheduler

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plugins/babysitter/skills/babysit/process/specializations/domains/business/operations/skills/resource-scheduler/SKILL.md

Skill Metadata

Name
resource-scheduler
Description
Resource scheduling and assignment optimization skill for personnel and equipment allocation

Resource Scheduler

Overview

The Resource Scheduler skill provides comprehensive capabilities for optimizing resource scheduling and assignment. It supports skill-based assignment, shift scheduling, overtime optimization, and equipment allocation.

Capabilities

  • Skill-based assignment
  • Shift scheduling
  • Overtime optimization
  • Cross-training utilization
  • Equipment allocation
  • Maintenance window scheduling
  • Conflict resolution
  • Schedule publication

Used By Processes

  • CAP-002: Production Scheduling Optimization
  • CAP-001: Capacity Requirements Planning
  • TOC-002: Drum-Buffer-Rope Scheduling

Tools and Libraries

  • Workforce management systems
  • Scheduling optimization algorithms
  • HR systems integration
  • Communication platforms

Usage

skill: resource-scheduler
inputs:
  scheduling_horizon: 7  # days
  resources:
    - name: "John Smith"
      type: "operator"
      skills: ["assembly", "welding", "inspection"]
      shift_preference: "day"
      max_hours: 50
    - name: "Jane Doe"
      type: "operator"
      skills: ["assembly", "packaging"]
      shift_preference: "flexible"
      max_hours: 45
  requirements:
    - date: "2026-01-25"
      shift: "day"
      skill: "assembly"
      count: 3
    - date: "2026-01-25"
      shift: "day"
      skill: "welding"
      count: 2
  constraints:
    - "No consecutive night shifts"
    - "Minimum 8 hours between shifts"
    - "Maximum 10 hours per shift"
outputs:
  - schedule_assignments
  - coverage_report
  - overtime_forecast
  - skill_gaps
  - conflict_resolutions

Scheduling Objectives

| Objective | Priority | Metric | |-----------|----------|--------| | Coverage | High | % requirements filled | | Skill Match | High | Qualified for assignment | | Fairness | Medium | Balanced distribution | | Cost | Medium | Overtime minimization | | Preference | Low | Employee satisfaction |

Shift Patterns

| Pattern | Description | Use Case | |---------|-------------|----------| | Fixed | Same schedule weekly | Stable demand | | Rotating | Shifts rotate | 24/7 operations | | Compressed | Longer days, fewer days | Employee preference | | Flexible | Variable start/end | Demand variation | | Split | Two shifts per day | Peak periods |

Skill Matrix

| Resource | Skill 1 | Skill 2 | Skill 3 | |----------|---------|---------|---------| | Operator A | Expert | Competent | Training | | Operator B | Training | Expert | None | | Operator C | Competent | Training | Expert |

Assignment Algorithm

1. Identify requirements
2. Match skills to requirements
3. Apply availability constraints
4. Optimize for objectives
5. Resolve conflicts
6. Publish schedule

Overtime Management

| Hours | Rate | Threshold | |-------|------|-----------| | 0-40 | 1.0x | Standard | | 40-50 | 1.5x | Overtime | | 50+ | 2.0x | Double-time |

Cross-Training Strategy

  1. Identify critical skills
  2. Assess current coverage
  3. Identify training candidates
  4. Develop training plan
  5. Track progress
  6. Update skill matrix

Integration Points

  • HR/payroll systems
  • Time and attendance
  • ERP systems
  • Communication platforms