flow-network-builder
Model optimization problems as network flow problems
npx skills add a5c-ai/babysitter --skill flow-network-builder --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.
# 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" } }, "r
- Purpose
- Capabilities
- Target Processes
- Flow Problem Types
- Reduction Patterns
- Input Schema
- Output Schema
What does the flow-network-builder skill do?
Model optimization problems as network flow problems
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill flow-network-builder --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.