knowledge-graph

What problem does it solve?

This Skill acts as your project's persistent memory, preventing the loss of critical decisions, design patterns, and lessons learned. It allows you to store, recall, and traverse project knowledge with temporal accuracy and semantic understanding, ensuring consistency and accelerating future development by leveraging past insights.

Core Features & Use Cases

• Decision & Pattern Storage: Store architectural decisions, design patterns, process refinements, and user preferences with rich context and temporal anchoring.
• Semantic & Temporal Retrieval: Recall past decisions using natural language queries, filter by project context, and even retrieve the state of your knowledge graph at a specific point in time.
• Graph Traversal: Explore relationships between decisions (e.g., "depends_on", "supersedes", "implements") to build a complete understanding of any topic.
• Use Case: Ensure critical project decisions, design patterns, and lessons learned are never forgotten. Instantly retrieve context on past choices, preventing rework and maintaining consistency across your projects.

Quick Start

Store an architectural decision in the knowledge graph.

The AI will guide you through providing the necessary details.

Example interaction:

AI: "What decision would you like to store?"

User: "ADR: Use Event Sourcing for Order State Management"

AI: "Please provide rationale, alternatives considered, and status."