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vector-cluster

Group related code files by analyzing a graph of their connections with ruvector. Review group assignments, community labels, and links between files to understand code organization and investigate files that stand apart.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Cluster code by graph community detection via npx ruvector@0.3.3 hooks graph-cluster (spectral / Louvain)

ruvnet/ruflo
설치 방법 보기

이럴 때 유용합니다

  • Understanding groups of related code files
  • Reviewing connections between code groups
  • Investigating files that stand apart
  • Saving grouping results for later reference

포함된 파일(1)

  • SKILL.md2.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Vector Cluster

Cluster vectors in a namespace by semantic similarity using ruvector.

When to use

Use this skill when you have a collection of embeddings and want to discover natural groupings. Clustering reveals themes, identifies outliers, and helps organize large vector collections.

Steps

  1. Ensure ruvector@0.3.3 is available: 
    npm ls ruvector 2>/dev/null | grep '0.3.3' || npm install ruvector@0.3.3
  2. Run clustering — in ruvector@0.3.3 the only working clustering is via hooks graph-cluster (spectral/Louvain over a code graph). The top-level cluster command is reserved for distributed cluster ops and is currently "Coming Soon" upstream. 
    npx -y ruvector@0.3.3 hooks graph-cluster <files...>
npx -y ruvector@0.3.3 hooks graph-mincut <files...>
  3. Review output — JSON with cluster assignments, community labels, and edges. If you see "graph.nodes is not iterable", run hooks init first to seed the graph state.
  4. Store results: mcp__plugin_ruflo-core_ruflo__memory_store({ key: "clusters-PROJECT-TIMESTAMP", value: "CLUSTER_ASSIGNMENTS", namespace: "vector-clusters" })

Interpreting results

  • High cohesion (>0.85): tight, well-defined cluster
  • Medium cohesion (0.6-0.85): related but diverse content
  • Low cohesion (<0.6): loose grouping, try higher resolution
  • Outliers: novel or anomalous files worth investigating

Caveats

  • cluster --namespace ... --k N and cluster --density are not valid in ruvector@0.3.3 — those flags fall through to the distributed-cluster command, which only accepts --status, --join, --leave, --nodes, --leader, --info.
  • For namespaced k-means over arbitrary embeddings, run k-means in your own code against vectors stored in AgentDB.

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