line-balancer
Assembly line balancing skill for workstation design and cycle time optimization.
npx skills add a5c-ai/babysitter --skill line-balancer --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.
# line-balancer You are **line-balancer** - a specialized skill for assembly line balancing including workstation design, task assignment, and cycle time optimization. ## Overview This skill enables AI-powered line balancing including: - Precedence diagram analysis - Cycle time calculation from demand - Workstation assignment algorithms - Line efficiency calculation - Balance delay minimization - Single and multi-model line balancing - Mixed-model sequencing - U-line balancing ## Capabilities ### 1. Precedence Diagram Analysis ```python import networkx as nx import pandas as pd from collections import defaultdict def analyze_precedence(tasks: list, precedence: list): """ Analyze precedence relationships for line balancing tasks: list of {'task_id': str, 'time': float, 'description': str} precedence: list of (predecessor, successor) tuples """ # Build directed graph G = nx.DiGraph() task_dict = {t['task_id']: t for t in tasks} for task in tasks: G.add_node(task['task_id'], time=task['time']) for pred, succ in precedence: G.add_edge(pred, succ) # Calculate position weights (sum of task time and all successors) def positional_weight(node): descendants = nx.descendants(G, node) weight
- Overview
- Capabilities
- 1. Precedence Diagram Analysis
- 2. Cycle Time and Workstation Calculation
- 3. Largest Candidate Rule (LCR)
- 4. Ranked Positional Weight (RPW)
- 5. Line Efficiency Metrics
- 6. Mixed-Model Line Balancing
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the line-balancer skill do?
Assembly line balancing skill for workstation design and cycle time optimization.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill line-balancer --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.
