Agent skill

maintenance-scheduler

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

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/operations/skills/maintenance-scheduler

Metadata

Additional technical details for this skill

domain
business
category
workflow-automation
specialization
operations

SKILL.md

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

yaml
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

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