How does this skill differ from a standard search?

Standard searches often provide top-level results based on similarity; this skill performs a deep traversal, following links between memories and entities to find context that is logically connected but semantically distant.

What is the Forgetful MCP used for?

Forgetful MCP is a system that stores knowledge as an interconnected graph of memories and entities, allowing Claude to recall context and relationships over time.

Does this skill work across different projects?

Yes, it can investigate connections and relationships across various project IDs stored within the Forgetful knowledge graph.

Can I limit the depth of the graph exploration?

Yes, the skill supports shallow (phases 1-2), medium (phases 1-4), and deep (all phases) exploration to balance thoroughness with token efficiency.

Knowledge Graph Explorer

Name: Knowledge Graph Explorer
Author: ScottRBK

byScottRBK

•

生産性とワークフロー

Traverses the Forgetful MCP knowledge graph to retrieve deep, interconnected context across memories, entities, and projects.

概要

The Knowledge Graph Explorer skill empowers Claude to perform multi-phase traversals of the Forgetful MCP system, moving beyond simple keyword searches to uncover hidden connections between memories and entities. By mapping relationships and exploring linked artifacts, this skill provides a comprehensive understanding of complex topics, previous decisions, and cross-project patterns. It is particularly useful when starting complex work that spans multiple domains or when you need a holistic view of how specific concepts connect across your entire workspace.

主な機能

Efficiency controls to manage token budgets and prevent traversal cycles
Automated entity discovery and relationship mapping
Adjustable exploration depth from shallow summaries to full graph mapping
9 GitHub stars
Multi-hop traversal of semantic knowledge graphs
Cross-project context retrieval via memory-link analysis

ユースケース

Investigating how specific architectural concepts or entities connect across different codebases
Starting complex development tasks that require understanding legacy decisions across multiple topics
Performing deep-dive 'what do you know about X' queries to gather comprehensive domain context

概要

主な機能

Efficiency controls to manage token budgets and prevent traversal cycles
Automated entity discovery and relationship mapping
Adjustable exploration depth from shallow summaries to full graph mapping
9 GitHub stars
Multi-hop traversal of semantic knowledge graphs
Cross-project context retrieval via memory-link analysis

ユースケース

Investigating how specific architectural concepts or entities connect across different codebases
Starting complex development tasks that require understanding legacy decisions across multiple topics
Performing deep-dive 'what do you know about X' queries to gather comprehensive domain context