Resource scheduling and assignment optimization skill for personnel and equipment allocation
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill resource-scheduler --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: resource-scheduler
description: Resource scheduling and assignment optimization skill for personnel and equipment allocation
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
metadata:
specialization: operations
domain: business
category: workflow-automation
graph:
domains: [domain:operations]
skillAreas: [skill-area:capacity-planning-ops, skill-area:quantitative-modeling, skill-area:data-analytics]
workflows: [workflow:vendor-onboarding, workflow:vendor-evaluation]
roles: [role:operations-analyst, role:procurement-manager, role:project-manager]
---
# 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
```yaml
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
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