Can I use this for exact keyword searches?

No, the Topic Graph is for semantic and conceptual exploration. For exact phrase or keyword matching, you should use the BM25 search functionality within the agent-memory system.

What is the difference between an active and a dormant topic?

Active topics have an importance score above 0.1, indicating they are current or frequently discussed. Dormant topics have decayed below that threshold but can be resurrected if they are mentioned again.

How does the time-decayed scoring work?

It uses an exponential decay formula with a default 30-day half-life. This ensures that topics mentioned today have full weight, while older topics gradually lose importance unless they are resurrected by new mentions.

Is the topic graph shared between different repositories?

No, the Topic Graph is generated on a per-project basis to ensure the themes and relationships are specific and relevant to the current codebase you are working on.

How often are new topics extracted?

By default, extraction runs every 4 hours as defined in the configuration, but you can manually trigger an update using the 'admin extract-topics' command.

Topic Graph Explorer

Name: Topic Graph Explorer
Author: SpillwaveSolutions

bySpillwaveSolutions

•

生産性とワークフロー

Extracts and maps semantic relationships between conversation themes using time-decayed importance scoring for long-term project memory.

The Topic Graph Explorer is a specialized skill for the agent-memory system that enables Claude to understand and navigate the conceptual landscape of your project. By performing semantic topic extraction and applying exponential time-decay scoring, it surfaces the most relevant themes from your conversation history. It allows users to discover hidden patterns, explore hierarchical relationships between technical concepts, and jump directly to relevant documentation or code segments based on thematic relevance rather than simple keyword matching. This is an essential tool for maintaining high-level situational awareness in long-running development projects.

主な機能

01Exponential time-decay scoring to prioritize recent and relevant themes

02Semantic topic extraction and clustering from conversation history

03Topic-to-node navigation for quick access to specific project segments

04Hierarchical relationship mapping (parent, child, and similar topics)

05Automated topic lifecycle management including active and dormant states

064 GitHub stars

ユースケース

01Discovering conceptual connections between disparate discussions and code implementations

02Identifying recurring technical patterns or architectural themes across a project lifecycle

03Navigating large conversation histories using thematic importance rather than keyword searches

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add spillwavesolutions/agent-memory topic-graph

For use in Claude.ai and ChatGPT

Download Skill