Maintenance scheduler

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

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

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

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Maintenance planning and scheduling skill with TPM integration and predictive maintenance support

SKILL.md

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Maintenance Scheduler

Overview

The Maintenance Scheduler skill provides comprehensive capabilities for planning and scheduling maintenance activities. It supports preventive maintenance scheduling, autonomous maintenance checklists, predictive maintenance integration, and TPM pillar support.

Capabilities

Preventive maintenance scheduling
Autonomous maintenance checklists
Predictive maintenance integration
Spare parts planning
Work order management
MTBF/MTTR tracking
Maintenance backlog management
TPM pillar support

Used By Processes

LEAN-005: Standard Work Documentation
CAP-002: Production Scheduling Optimization
QMS-001: ISO 9001 Implementation

Tools and Libraries

CMMS systems (Maximo, SAP PM, Fiix)
IoT sensors
Predictive analytics platforms
Mobile maintenance apps

Usage

skill: maintenance-scheduler
inputs:
  equipment_list:
    - equipment_id: "CNC-001"
      name: "CNC Machine 1"
      criticality: "high"
      current_runtime: 4500  # hours
      last_pm: "2025-12-15"
    - equipment_id: "CONV-002"
      name: "Conveyor System 2"
      criticality: "medium"
      current_runtime: 8000
      last_pm: "2025-11-30"
  maintenance_tasks:
    - task_id: "PM-001"
      description: "Lubrication"
      frequency: "weekly"
      duration: 30  # minutes
      skills: ["mechanic"]
    - task_id: "PM-002"
      description: "Filter replacement"
      frequency: "monthly"
      duration: 60
      skills: ["mechanic"]
  production_schedule:
    - date: "2026-01-25"
      available_window: 2  # hours
  technicians:
    - name: "Tech A"
      skills: ["mechanic", "electrical"]
      availability: "day_shift"
outputs:
  - maintenance_schedule
  - work_orders
  - parts_requirements
  - resource_allocation
  - backlog_report
  - reliability_metrics

Maintenance Types

Type	Description	Trigger
Reactive	Fix after failure	Breakdown
Preventive	Scheduled based on time/usage	Calendar/runtime
Predictive	Based on condition monitoring	Sensor data
Proactive	Eliminate failure modes	Root cause
Autonomous	Operator-performed	Daily/shift

TPM Eight Pillars

Pillar	Focus Area
Autonomous Maintenance	Operator ownership
Planned Maintenance	Scheduled PM
Quality Maintenance	Zero defects
Focused Improvement	Eliminate losses
Early Equipment Management	Design for reliability
Training	Skills development
Safety/Environment	Zero accidents
Office TPM	Administrative efficiency

Reliability Metrics

MTBF (Mean Time Between Failures)

MTBF = Total Operating Time / Number of Failures

Example: 1000 hours / 5 failures = 200 hours

MTTR (Mean Time To Repair)

MTTR = Total Repair Time / Number of Repairs

Example: 25 hours / 5 repairs = 5 hours

Availability

Availability = MTBF / (MTBF + MTTR)

Example: 200 / (200 + 5) = 97.6%

Maintenance Scheduling Rules

Priority	Criteria	Scheduling
Critical	Safety or production stop	Immediate
High	Affects quality or capacity	Next available window
Medium	Preventive maintenance	Scheduled window
Low	Nice to have	When convenient

Predictive Maintenance Signals

Technology	Monitors	Detects
Vibration	Rotating equipment	Bearing wear, imbalance
Thermography	All equipment	Hot spots, electrical
Oil Analysis	Lubricated systems	Wear particles, contamination
Ultrasound	All equipment	Leaks, electrical arcing

Integration Points

CMMS/EAM systems
Production scheduling
Spare parts inventory
IoT/sensor platforms