ReddRadar
Agent skill
resource-scheduler
Resource scheduling and assignment optimization skill for personnel and equipment allocation
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/operations/skills/resource-scheduler
Metadata
Additional technical details for this skill
- domain
- business
- category
- workflow-automation
- specialization
- operations
SKILL.md
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
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