Skills

Graph

Interactive knowledge graph analysis.

Install

npx skills add agenticnotetaking/arscontexta --skill graph -g -a claude-code -y
Category
Engineering
Updated
8mo ago
License
MIT
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Interactive knowledge graph analysis. Routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions. Triggers on "/graph", "/graph health", "/graph triangles", "find synthesis opportunities", "graph analysis".

Runtime Configuration (Step 0, before any processing)

Read these files to configure domain-specific behavior:

  1. ops/derivation-manifest.md, vocabulary mapping, platform hints

    • Use vocabulary.notes for the notes folder name
    • Use vocabulary.note / vocabulary.note_plural for note type references
    • Use vocabulary.topic_map / vocabulary.topic_map_plural for MOC references
    • Use vocabulary.cmd_reflect for connection-finding command name
    • Use vocabulary.cmd_reweave for backward-pass command name
  2. ops/config.yaml, for graph thresholds (MOC size limits, orphan thresholds)

If no derivation file exists, use universal terms (notes, MOCs, etc.).


EXECUTE NOW

Target: $ARGUMENTS

Parse the operation from arguments:

  • If arguments match a known operation: route to that operation
  • If arguments are a natural language question: map to the closest operation (see Interactive Mode)
  • If no arguments: enter interactive mode

START NOW. Route to the appropriate operation.


Philosophy

The graph IS the knowledge. This skill makes it visible.

Individual {vocabulary.note_plural} are valuable, but their connections create compound value. /graph reveals the structural properties of those connections, where the graph is dense, where it is sparse, where it is fragile, and where synthesis opportunities hide.

Every operation produces two things: findings (what the analysis reveals) and actions (what to do about it). Never dump raw data. Always interpret results with {vocabulary.note} descriptions and domain context. Always suggest specific next steps.


Operations

/graph health

Full graph health report: density, orphans, dangling links, coverage.

Step 1: Collect raw metrics

Read the whole SKILL.md on GitHub

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