Graph
Interactive knowledge graph analysis.
Install
npx skills add agenticnotetaking/arscontexta --skill graph -g -a claude-code -y- Repository
- agenticnotetaking/arscontexta3.5k
- 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:
-
ops/derivation-manifest.md, vocabulary mapping, platform hints- Use
vocabulary.notesfor the notes folder name - Use
vocabulary.note/vocabulary.note_pluralfor note type references - Use
vocabulary.topic_map/vocabulary.topic_map_pluralfor MOC references - Use
vocabulary.cmd_reflectfor connection-finding command name - Use
vocabulary.cmd_reweavefor backward-pass command name
- Use
-
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
