constraint-identifier
System bottleneck identification and exploitation skill with throughput analysis and five focusing steps implementation
npx skills add a5c-ai/babysitter --skill constraint-identifier --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.
# 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_o
- Overview
- Capabilities
- Used By Processes
- Tools and Libraries
- Usage
- Five Focusing Steps
- Step 1: Identify the Constraint
- Step 2: Exploit the Constraint
- Step 3: Subordinate Everything Else
- Step 4: Elevate the Constraint
- Step 5: Prevent Inertia
- Constraint Types
- Integration Points
What does the constraint-identifier skill do?
System bottleneck identification and exploitation skill with throughput analysis and five focusing steps implementation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill constraint-identifier --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.