Generate a chronological narrative of evolving thoughts on a topic.
npx skills add https://github.com/ghostwright/phantom --skill thread-ghostwright
Please help me install this Agent Skill. Skill: thread Source: https://github.com/ghostwright/phantom/tree/main/skills-builtin/thread Command: npx skills add https://github.com/ghostwright/phantom --skill thread-ghostwright
This Skill helps users understand how their perspective on a particular topic has changed over time, providing a chronological narrative with turning-point callouts.
Use the thread <topic> command to see the evolution of your thoughts on <topic>.
High-intent search queries and answers about installing and using this skill.
To track thought evolution, this Skill searches and clusters past session data to generate a chronological narrative of your perspective, highlighting key turning points. It uses memory search to organize your historical discussions into a clear timeline.
Memory analysis works by searching past session data and clustering related interactions to identify key turning points. It organizes your historical thoughts on a topic, pinpointing exact moments when your perspective or stance shifted.
The best way to review stance evolution is to use the thread command with your desired topic. This initiates a memory search that compiles past session data into a chronological narrative with explicit turning-point callouts.
No external dependencies are required to perform topic tracking and decision analysis. The Skill operates independently, using internal memory search and clustering algorithms to structure your past session data without external integrations.
Yes, you can use this for knowledge management of long-term project discussions. It traces the evolution of your thoughts on a given topic, organizing past session data to show how your project stance and decisions have changed.
Thought evolution tracking requires clustering past session data to effectively organize fragmented historical interactions. This memory analysis process identifies patterns and shifts, enabling the extraction of accurate chronological turning points.
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