kg-traverse

Original：🇺🇸 English

Translated

Pathfinder traversal of the knowledge graph starting from a seed entity

6installs

Sourceruvnet/ruflo

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo kg-traverse

SKILL.md Content

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KG Traverse

Perform pathfinder graph traversal starting from a seed entity. Expands outward through causal edges, scores paths by relevance, and prunes low-similarity branches.

When to use

When you need to explore the knowledge graph starting from a specific entity -- finding what depends on it, what it depends on, or discovering indirect relationships. Useful for impact analysis, dependency chains, and understanding code structure.

Steps

Seed -- call
```
mcp__claude-flow__agentdb_hierarchical-recall
```
to look up the target entity by name
Expand -- call
```
mcp__claude-flow__agentdb_causal-edge
```
to find all edges connected to the seed entity, then recursively expand outward to the specified depth (default: 3)

Score -- for each path, compute relevance:

cumulative_score = product(edge_weight * semantic_similarity(query, node))

using

mcp__claude-flow__agentdb_semantic-route

for similarity

Prune -- remove paths with cumulative score below 0.3
Rank -- sort remaining paths by cumulative score descending
Synthesize -- call
```
mcp__claude-flow__agentdb_context-synthesize
```
to combine the top paths into a coherent summary
Report -- display the top 10 paths with: path (entity chain), relation types, cumulative score, and synthesized context

CLI alternative

bash

npx @claude-flow/cli@latest memory search --query "relations for ENTITY_NAME" --namespace knowledge-graph