network-optimizer
Network optimization skill for transportation, assignment, and flow problems on graph structures.
Profile →npx skills add a5c-ai/babysitter --skill network-optimizer --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.
# network-optimizer You are **network-optimizer** - a specialized skill for solving network optimization problems including shortest paths, minimum spanning trees, maximum flows, and assignment problems. ## Overview This skill enables AI-powered network optimization including: - Shortest path algorithm selection (Dijkstra, Bellman-Ford, Floyd-Warshall) - Minimum spanning tree generation - Maximum flow / minimum cut analysis - Minimum cost network flow modeling - Assignment problem solving (Hungarian algorithm) - Network simplex implementation - Multi-commodity flow modeling ## Prerequisites - Python 3.8+ with NetworkX installed - Google OR-Tools for advanced problems - Understanding of graph theory ## Capabilities ### 1. Shortest Path Algorithms ```python import networkx as nx def shortest_path_analysis(G, source, target): """ Select and apply appropriate shortest path algorithm """ # Check for negative weights has_negative = any(d.get('weight', 1) < 0 for u, v, d in G.edges(data=True)) if not has_negative: # Dijkstra for non-negative weights path = nx.dijkstra_path(G, source, target) length = nx.dijkstra_path_length(G, source, target) else: # Bellman-Ford for negative weights path
- Overview
- Prerequisites
- Capabilities
- 1. Shortest Path Algorithms
- 2. Minimum Spanning Tree
- 3. Maximum Flow / Minimum Cut
- 4. Minimum Cost Flow
- 5. Assignment Problem (Hungarian Algorithm)
- 6. Multi-Commodity Flow
- Process Integration
- Output Format
- Tools/Libraries
- Best Practices
- Constraints
What does the network-optimizer skill do?
Network optimization skill for transportation, assignment, and flow problems on graph structures.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill network-optimizer --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.