Save session wrap-up summaries to project memory as dated markdown files.
npx skills add https://github.com/JoeCP17/LLM-Dot-files --skill wrap-joecp17
Please help me install this Agent Skill. Skill: wrap Source: https://github.com/JoeCP17/LLM-Dot-files/tree/main/claude/skills/wrap Command: npx skills add https://github.com/JoeCP17/LLM-Dot-files --skill wrap-joecp17
This Skill prevents losing valuable session context by turning a conversation wrap-up into a persistent memory you can reuse later.
Use wrap when the conversation is ending or you say /wrap so the assistant records what you did and what to do next.
High-intent search queries and answers about installing and using this skill.
To save session progress, you can trigger a wrap-up to generate a structured markdown summary of completed work, in-progress items, decisions, and next steps. This summary is written to your project memory path for later reuse.
The best way to retain project context is creating a dated session markdown file that captures decisions and discovered issues. This file updates your project memory index to ensure the context persists across future assistant interactions.
Recording completed work and next steps involves analyzing the conversation to categorize outcomes. The process extracts finished tasks, pending items, and discovered issues, then saves them as a structured wrap-up summary to memory.
Yes, saving a session wrap-up automatically updates the MEMORY.md file with a link to the new session summary. It also refreshes any stale related memory files to maintain accurate project context.
Yes, you can use session memory to track planning progress by saving structured wrap-up summaries. These summaries capture discovered issues and in-progress items, writing them to a consistent project memory path for ongoing tracking.
A limitation of session wrap-up summaries is that knowledge retention depends on actively triggering the wrap-up before the conversation ends. If the session is closed without saving, the unsaved context and progress will be lost.
tractorjuiceManage a two-tier project knowledge base with a MEMORY.md index and topic files.
robertzengcnRestore previously saved project work context across git branches.
Paxeer-NetworkDefine project scope, track progress, and suggest actionable next steps.
peteknowsaiMaintain MEMORY.md indexes and structured notes for AI agent context.
