constraint-identifier
System bottleneck identification and exploitation skill with throughput analysis and five focusing steps implementation
Best use case
constraint-identifier is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
System bottleneck identification and exploitation skill with throughput analysis and five focusing steps implementation
Teams using constraint-identifier should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/constraint-identifier/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How constraint-identifier Compares
| Feature / Agent | constraint-identifier | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
System bottleneck identification and exploitation skill with throughput analysis and five focusing steps implementation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Constraint Identifier
## Overview
The Constraint Identifier skill provides comprehensive capabilities for identifying and exploiting system constraints using Theory of Constraints (TOC) principles. It supports bottleneck identification, throughput analysis, and implementation of the five focusing steps.
## Capabilities
- Bottleneck identification algorithms
- Throughput rate analysis
- Constraint exploitation strategies
- Subordination planning
- Buffer sizing calculation
- Constraint elevation options
- Drum identification
## Used By Processes
- TOC-001: Constraint Identification and Exploitation
- TOC-002: Drum-Buffer-Rope Scheduling
- CAP-001: Capacity Requirements Planning
## Tools and Libraries
- Simulation software
- Throughput analysis tools
- Process mapping tools
- Data analytics platforms
## Usage
```yaml
skill: constraint-identifier
inputs:
process_steps:
- name: "Cutting"
capacity: 120
demand: 100
- name: "Assembly"
capacity: 80
demand: 100
- name: "Testing"
capacity: 110
demand: 100
- name: "Packing"
capacity: 150
demand: 100
current_throughput: 78
target_throughput: 100
outputs:
- constraint_identification
- exploitation_strategies
- subordination_plan
- elevation_options
- buffer_recommendations
```
## Five Focusing Steps
### Step 1: Identify the Constraint
- Analyze capacity vs. demand at each step
- Look for WIP accumulation points
- Identify resource with lowest throughput
### Step 2: Exploit the Constraint
- Ensure constraint never starves or blocks
- Eliminate waste at constraint
- Maximize constraint utilization
### Step 3: Subordinate Everything Else
- Pace non-constraints to constraint
- Implement pull system from constraint
- Don't overproduce at non-constraints
### Step 4: Elevate the Constraint
- Add capacity at constraint
- Reduce setup time
- Improve quality at constraint
### Step 5: Prevent Inertia
- Return to Step 1
- Find new constraint
- Continue improvement cycle
## Constraint Types
| Type | Description | Examples |
|------|-------------|----------|
| Physical | Resource limitation | Machine capacity, labor |
| Policy | Rule-based limitation | Batch sizes, schedules |
| Market | Demand limitation | Customer orders |
| Supplier | Input limitation | Raw material availability |
## Integration Points
- Manufacturing Execution Systems
- ERP systems
- Simulation software
- Production planning systemsRelated Skills
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