Build and traverse SDLC knowledge graphs from decisions, learnings, and patterns.
npx skills add https://github.com/arbgjr/sdlc_agentico --skill graph-navigator
Please help me install this Agent Skill. Skill: graph-navigator Source: https://github.com/arbgjr/sdlc_agentico/tree/main/.claude/skills/graph-navigator Command: npx skills add https://github.com/arbgjr/sdlc_agentico --skill graph-navigator
Graph Navigator provides a centralized way to model and explore the SDLC knowledge graph built from decisions, learnings, patterns, and concepts across the corpus, enabling clear understanding and governance of software lifecycle knowledge.
Rebuild the graph with the provided scripts and generate a Mermaid diagram to visualize the current graph.
High-intent search queries and answers about installing and using this skill.
Visualizing an SDLC knowledge graph from decisions and learnings involves building a semantic graph from corpus documents and generating Mermaid or DOT diagrams for clear knowledge maps.
Transitive closure analysis for software lifecycle artifacts is a graph traversal technique that discovers all reachable concepts and relationships across decisions, learnings, and patterns to perform comprehensive impact analysis.
You generate Mermaid or DOT diagrams for impact analysis by traversing the knowledge graph and performing path searches across SDLC artifacts, which produces visual relationship maps for understanding dependencies.
No, this graph visualization approach does not require external graph database dependencies, as the script suite coordinates graph construction, concept extraction, and visualization while requiring only the PyYAML library.
Yes, you can perform incremental updates to a knowledge graph built from corpus documents, as the graph builder supports comprehensive exploration and maintenance of decisions, learnings, and patterns over time.
The best way to extract concepts from software engineering decisions and patterns is to use an automated concept extraction script that models relationships and builds a semantic graph for governance of lifecycle knowledge.
arbgjrRetrieve decisions, documentation, learnings, and patterns from a RAG corpus with filters.
mindmorassConvert visual diagrams from images into Mermaid or Graphviz code.
KatsumitecAggregate agent status information from Vibe-SDLC workflow status files.
Hawksight-AIAnalyze graph topology and generate visual summaries of knowledge graphs.
