# Graph

Interactive knowledge graph analysis.

- Repository: https://github.com/agenticnotetaking/arscontexta (3518 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-02-24
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add agenticnotetaking/arscontexta --skill graph -g -a claude-code -y`
Codex: `npx skills add agenticnotetaking/arscontexta --skill graph -g -a codex -y`
Cursor: `npx skills add agenticnotetaking/arscontexta --skill graph -g -a cursor -y`
Gemini CLI: `npx skills add agenticnotetaking/arscontexta --skill graph -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add agenticnotetaking/arscontexta`

## Description

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".

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

## 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**

The rest: https://github.com/agenticnotetaking/arscontexta/blob/HEAD/skill-sources/graph/SKILL.md