dbr-scheduler
Drum-Buffer-Rope scheduling skill for constraint-based production pacing with buffer management
npx skills add a5c-ai/babysitter --skill dbr-scheduler --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.
# DBR Scheduler ## Overview The DBR (Drum-Buffer-Rope) Scheduler skill provides comprehensive capabilities for implementing constraint-based production scheduling. It supports drum schedule generation, buffer management, and rope release scheduling to maximize throughput while minimizing WIP. ## Capabilities - Drum schedule generation - Time buffer calculation - Shipping buffer management - Constraint buffer monitoring - Rope release scheduling - Buffer penetration tracking - Schedule synchronization ## Used By Processes - TOC-002: Drum-Buffer-Rope Scheduling - CAP-002: Production Scheduling Optimization - TOC-001: Constraint Identification and Exploitation ## Tools and Libraries - Production scheduling systems - ERP integration APIs - Buffer management tools - Real-time monitoring platforms ## Usage ```yaml skill: dbr-scheduler inputs: constraint_resource: "CNC Machine 3" constraint_capacity: 8 # hours per day orders: - order_id: "ORD001" quantity: 100 due_date: "2026-02-15" constraint_time: 2.5 # hours - order_id: "ORD002" quantity: 50 due_date: "2026-02-10" constraint_time: 1.5 buffer_times: constraint_buffer: 2 # days shipping_buffer: 1 # day assembly_buffer: 0.5 # days outputs
- Overview
- Capabilities
- Used By Processes
- Tools and Libraries
- Usage
- DBR Components
- Drum
- Buffer
- Rope
- Buffer Management
- Buffer Sizing Guidelines
- Schedule Synchronization
- Integration Points
What does the dbr-scheduler skill do?
Drum-Buffer-Rope scheduling skill for constraint-based production pacing with buffer management
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dbr-scheduler --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.