threads

Visualize interconnected memory clusters as narrative evolution arcs.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/emmahyde/memesis --skill threads-emmahyde
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: threads
Source: https://github.com/emmahyde/memesis/tree/main/skills/threads
Command: npx skills add https://github.com/emmahyde/memesis --skill threads-emmahyde

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users visualize and analyze automatically detected narrative threads that represent how memories and stories are interconnected over time.

Core Features & Use Cases

  • Narrative Thread Visualization: Displays clusters of related memories grouped by tags and temporal patterns as evolution arcs.
  • Automated Grouping: Detects related memories during the consolidation pipeline without manual setup, enabling insight into evolving stories.
  • Use Case: A user wants to see how different project-related memories are linked and how the story progressed across sessions, using a simple command to list and drill down into threads for analysis.

Quick Start

Run /memesis:threads to list all narrative threads, then select an ID or title to view detailed members and their evolution within each thread.

Frequently Asked Questions about threads

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

FAQPage Schema
How do I visualize narrative threads formed during memory consolidation?

Narrative thread visualization automates the display of interconnected memory clusters formed during consolidation. It groups related memories by tags and temporal patterns, presenting story evolution arcs for analysis without manual setup.

How are related memories grouped together automatically?

Related memories are grouped automatically using database clustering and language model summarization. This mechanism detects temporal patterns and shared tags during the consolidation pipeline to form narrative threads.

Can I track story development patterns across multiple sessions?

Tracking story development patterns across sessions is supported by listing and drilling down into narrative threads. You can view how project-related memories link together and observe the evolution arc of the story over time.

What is the best way to explore memory clusters in a knowledge-building scenario?

Exploring memory clusters in a knowledge-building scenario is best done by listing all detected narrative threads and selecting a specific ID or title. This displays detailed thread members and their evolution for analysis.

Do I need to manually configure tags to detect narrative threads?

Manual tag configuration is not required to detect narrative threads. The grouping process operates automatically during the consolidation pipeline, relying on built-in database clustering to organize related memories.

What are the limitations of using automated clustering for memory visualization?

Automated clustering for memory visualization relies entirely on database clustering and language model summarization to detect connections. Consequently, the accuracy of the narrative threads depends on the quality of the underlying memory data and tag structures.