Best use case
flow-network-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Model optimization problems as network flow problems
Teams using flow-network-builder 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/flow-network-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How flow-network-builder Compares
| Feature / Agent | flow-network-builder | 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?
Model optimization problems as network flow problems
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
# Flow Network Builder Skill
## Purpose
Model optimization problems as network flow problems, constructing appropriate flow networks and selecting optimal algorithms.
## Capabilities
- Identify max-flow/min-cut modeling opportunities
- Construct flow network from problem description
- Select optimal flow algorithm
- Handle min-cost flow variants
- Bipartite matching reduction
- Circulation problems
## Target Processes
- advanced-graph-algorithms
- graph-modeling
- optimization problems
## Flow Problem Types
1. **Maximum Flow**: Find max flow from source to sink
2. **Minimum Cut**: Partition minimizing cut capacity
3. **Bipartite Matching**: Maximum matching via flow
4. **Min-Cost Max-Flow**: Cheapest maximum flow
5. **Circulation**: Flow with lower bounds
## Reduction Patterns
- Assignment problems -> Bipartite matching
- Scheduling -> Flow with constraints
- Path cover -> Flow reduction
- Edge-disjoint paths -> Unit capacity flow
## Input Schema
```json
{
"type": "object",
"properties": {
"problemDescription": { "type": "string" },
"problemType": {
"type": "string",
"enum": ["maxFlow", "minCut", "matching", "minCostFlow", "circulation"]
},
"constraints": { "type": "object" }
},
"required": ["problemDescription"]
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"networkDescription": { "type": "string" },
"nodes": { "type": "array" },
"edges": { "type": "array" },
"source": { "type": "string" },
"sink": { "type": "string" },
"algorithm": { "type": "string" },
"reduction": { "type": "string" }
},
"required": ["success"]
}
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