flow-network-builder
SolidModel optimization problems as network flow problems
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# 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": "ar...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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