Summarize session insights and propose persistent memories for the AI Soul memory system.
npx skills add https://github.com/pontscho/prompt-heaven --skill p-recap
Please help me install this Agent Skill. Skill: p:recap Source: https://github.com/pontscho/prompt-heaven/tree/main/ClaudeCode/skills/p%3Arecap Command: npx skills add https://github.com/pontscho/prompt-heaven --skill p-recap
This Skill helps you capture and organize insights from conversations by generating a structured episodic memory anchor and proposing memories worth persisting to the AI Soul memory system.
Memorize the current session and generate an episodic anchor for future sessions.
High-intent search queries and answers about installing and using this skill.
Session memory extraction works by summarizing the current conversation into a structured episodic anchor, then proposing categorized facts and events to the memory system for long-term recall and continuity.
You summarize a chat session to extract persistent memories by triggering a recap to generate a high-level anchor of decisions and automatically propose categorized facts, preferences, and lessons for future use.
Yes, you can automatically propose memories at the end of an AI session by triggering a recap, which prompts memory_propose calls to capture facts and events for the AI Soul memory system without manual extraction.
No, the session recap memory system requires no external dependencies, allowing you to generate episodic anchors and propose persistent memories directly within your existing environment setup.
The best way to categorize extracted memories is to group them into structured items like facts, preferences, lessons, and events, enabling efficient long-term recall and continuity across future sessions.
ehfazrezwanTriggers immediate saving of active session context to the Neuralscape memory system.
Sir-chawakornManage AI context and memory persistence using structured markdown files.
meanllbrlLoad structured context files from _dream_context at session start.
wilsonfaustinoAutomate end-of-session knowledge capture with Obsidian notes and memory updates.
