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graph

Route natural language queries to graph scripts and interpret results in domain vocabulary.

Updated Feb 26, 2026
Search Tags:#synthesis#interactivity#knowledge-graph#bridges#triangles#clusters#graph-analysis
One-click install
npx skills add https://github.com/shakedfb/deterministic-agentic-sdlc-workflow --skill graph-shakedfb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graph
Source: https://github.com/shakedfb/deterministic-agentic-sdlc-workflow/tree/main/.claude/skills/graph
Command: npx skills add https://github.com/shakedfb/deterministic-agentic-sdlc-workflow --skill graph-shakedfb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps users analyze and reason about their knowledge graph by routing natural language questions to graph scripts, interpreting results in domain vocabulary, and surfacing concrete actions.

Core Features & Use Cases

  • Interactive graph exploration: navigate connections, identify synthesis opportunities, and discover structural patterns like clusters, bridges, and hubs.
  • Multi-step reasoning: triadic analysis, forward/backward traversals, and topic-based siblings to surface meaningful insights.
  • Guided workflows: health checks, graph queries, and actionable recommendations to drive knowledge-work.

Quick Start

Trigger an interactive session by running the graph skill with no arguments and then request the health check.

Frequently Asked Questions about graph

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a knowledge graph to find synthesis opportunities and structural patterns?▼

Knowledge graph analysis routes natural language queries to graph scripts, identifying synthesis opportunities in triangles, bridges, clusters, and hubs while interpreting results in domain vocabulary.

What is the best way to run a health check on my notes-based knowledge graph?▼

Health checks on a notes-based knowledge graph are performed by triggering an interactive graph session, which evaluates structural integrity and surfaces actionable recommendations for knowledge-work.

How do I traverse a knowledge graph forward and backward to surface meaningful insights?▼

Forward and backward traversal of a knowledge graph is executed by routing natural language queries to graph scripts, enabling multi-step reasoning and topic-based siblings to surface insights.

Do I need specific configuration files to perform graph analysis on my repository?▼

Graph analysis requires domain vocabulary materials, specifically ops/derivation-manifest.md and ops/config.yaml, along with a notes-based graph stored in the repository to support operations.

Can I use natural language to query clusters and hubs in my knowledge graph?▼

Natural language queries are routed to graph scripts to discover structural patterns like clusters and hubs, with results interpreted and presented using domain-specific vocabulary.

What are the limitations of interactive knowledge graph exploration?▼

Interactive knowledge graph exploration is limited by the necessity of a properly configured ops/derivation-manifest.md and ops/config.yaml file, alongside a structured notes-based graph stored within the repository.

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