Babysitter operational-dashboard-generator
Real-time operational performance dashboard skill with KPI visualization and alerting
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/operations/skills/operational-dashboard-generator" ~/.claude/skills/a5c-ai-babysitter-operational-dashboard-generator && rm -rf "$T"
manifest:
library/specializations/domains/business/operations/skills/operational-dashboard-generator/SKILL.mdsource content
Operational Dashboard Generator
Overview
The Operational Dashboard Generator skill provides comprehensive capabilities for creating real-time operational performance dashboards. It supports KPI definition, visual management displays, trend analysis, and alert configuration.
Capabilities
- KPI definition and calculation
- Real-time data integration
- Visual management displays
- Trend analysis
- Alert threshold configuration
- Drill-down reporting
- Mobile dashboard access
- Executive summary generation
Used By Processes
- CI-001: Operational Excellence Program Design
- SIX-002: Statistical Process Control Implementation
- QMS-003: Quality Audit Management
Tools and Libraries
- Power BI
- Tableau
- Grafana
- Real-time data platforms
Usage
skill: operational-dashboard-generator inputs: dashboard_type: "operations_center" # executive | operations_center | shop_floor kpis: - name: "OEE" target: 85 warning_threshold: 75 critical_threshold: 65 calculation: "(availability * performance * quality)" - name: "On-Time Delivery" target: 98 warning_threshold: 95 critical_threshold: 90 calculation: "(on_time_orders / total_orders) * 100" data_sources: - type: "mes" connection: "mes_api" - type: "erp" connection: "sap_bapi" refresh_rate: 60 # seconds outputs: - dashboard_definition - visualization_specs - alert_configuration - data_model - mobile_view
KPI Categories
Production KPIs
| KPI | Definition | Target |
|---|---|---|
| OEE | Equipment effectiveness | >85% |
| Throughput | Units per hour | Per plan |
| Yield | Good units / Total units | >99% |
| Cycle Time | Time per unit | At takt |
Quality KPIs
| KPI | Definition | Target |
|---|---|---|
| First Pass Yield | Pass first time | >98% |
| Defect Rate | Defects per million | <1000 |
| Scrap Rate | Scrap cost % | <1% |
| Customer Complaints | Per period | Trending down |
Delivery KPIs
| KPI | Definition | Target |
|---|---|---|
| On-Time Delivery | % shipped on time | >98% |
| Lead Time | Order to ship | Per commitment |
| Schedule Attainment | Actual vs. plan | >95% |
| Backlog | Past due orders | Zero |
Dashboard Design Principles
Information Hierarchy
- Key metrics (big numbers)
- Trends (charts)
- Details (tables)
- Drill-down (links)
Visual Best Practices
- Use color meaningfully (RAG status)
- Minimize clutter
- Consistent layout
- Clear labels
- Real-time updates
Alert Configuration
| Level | Threshold | Action |
|---|---|---|
| Info | Near target | Monitor |
| Warning | Below target | Investigate |
| Critical | Significantly below | Immediate action |
Dashboard Layers
Executive Dashboard
- High-level summary
- Company-wide view
- Weekly/monthly trends
- Strategic KPIs
Operations Center
- Site-level view
- Daily/hourly trends
- Operational KPIs
- Resource status
Shop Floor Display
- Real-time status
- Line-level view
- Visual management
- Immediate feedback
Integration Points
- Manufacturing Execution Systems
- ERP systems
- Quality Management Systems
- IoT/sensor data