capacity-constraint-analyzer
Production capacity analysis skill using Theory of Constraints principles
npx skills add a5c-ai/babysitter --skill capacity-constraint-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Capacity Constraint Analyzer ## Overview The Capacity Constraint Analyzer provides production and supply chain capacity analysis using Theory of Constraints (TOC) principles. It identifies bottlenecks, models capacity exploitation strategies, and supports capacity investment decisions. ## Capabilities - **Capacity Utilization Calculation**: Resource utilization analysis - **Bottleneck Identification**: Constraint and limiting factor detection - **Constraint Exploitation Strategies**: TOC-based improvement approaches - **Capacity Adjustment Modeling**: Expansion and contraction scenarios - **Lead Time Impact Analysis**: Capacity effects on delivery performance - **Rough-Cut Capacity Planning**: Aggregate capacity assessment - **Finite Capacity Scheduling Support**: Detailed scheduling inputs - **Capacity Investment Analysis**: CapEx decision support ## Input Schema ```yaml capacity_analysis_request: resources: work_centers: array - resource_id: string name: string available_capacity: float capacity_unit: string efficiency: float setup_time: float labor: array equipment: array demand_requirements: production_plan: array capacity_requirements: array - resource_id: string product: st
- Overview
- Capabilities
- Input Schema
- Output Schema
- Usage
- Bottleneck Identification
- Capacity Scenario Analysis
- TOC Exploitation Strategy
- Integration Points
- Process Dependencies
- Best Practices
What does the capacity-constraint-analyzer skill do?
Production capacity analysis skill using Theory of Constraints principles
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill capacity-constraint-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.