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yogsoth-aiyogsoth-ai/knowledge-structuring/skills/wiki-graph-query/SKILL.md

wiki-graph-query

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

SOP wrapping vault_query_graph — traverse knowledge graph from a node to explore its neighborhood and context.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Verify the file exists before calling vault_query_graph.

    line 16
  2. Very specific:

    Call vault_query_graph with node, direction, and optional filters

    line 35

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Wiki Graph Query

Explore the neighborhood of a node in the knowledge graph. Used for understanding context before updates, finding connection opportunities, and identifying orphans.

HARD-GATE

<HARD-GATE> Node path must reference an existing file in the vault. Verify the file exists before calling vault_query_graph. </HARD-GATE>

Tool

vault_query_graph

Parameters

ParamRequiredDescription
nodeyesStarting node path (e.g., "concepts/attention.md")
directionyesTraversal direction: "in", "out", or "both"
edge_typenoFilter by edge type
depthnoTraversal depth (default 1, max 3)

Protocol

  1. Confirm node file exists in vault
  2. Call vault_query_graph with node, direction, and optional filters
  3. Analyze subgraph: identify clusters, orphan branches, missing connections
  4. Return subgraph data to calling tactic

Yield

Returns: { nodes_found: number, edges_found: number, subgraph: object }

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