Resource scheduler

Skill a5c-ai/babysitter/library/specializations/domains/business/operations/skills/resource-scheduler

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Install

npx -y skills add a5c-ai/babysitter --skill resource-scheduler

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Resource scheduling and assignment optimization skill for personnel and equipment allocation

SKILL.md

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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

Identify critical skills
Assess current coverage
Identify training candidates
Develop training plan
Track progress
Update skill matrix

Integration Points

HR/payroll systems
Time and attendance
ERP systems
Communication platforms