# genpark-maximum-flow-edmonds-karp-network-skill

> genpark-maximum-flow-edmonds-karp-network-skill — alpha-park-genpark-maximum-flow-edmonds-karp-network-skill. Use this tool when you need to compute maximum flow and minimum cut bottlenecks in complex networks, solving multi-agent routing problems and optimizing resource allocation. It takes network topology and capacity inputs, and outputs maximum flow and minimum cut values, enabling informed decision-making. Ideal for applications requiring efficient network flow optimization, such as logistics, transportation, and telecommunications.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-maximum-flow-edmonds-karp-network-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-maximum-flow-edmonds-karp-network-skill

## Description

Edmonds-Karp network flow engine with BFS augmenting paths computing maximum flow and minimum cut bottlenecks for multi-agent routing.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-maximum-flow-edmonds-karp-network-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-maximum-flow-edmonds-karp-network-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-maximum-flow-edmonds-karp-network-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-maximum-flow-edmonds-karp-network-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
