What problem does it solve?
Lets-wrap prevents session learnings from being lost by capturing corrections, preferences, and discoveries from a conversation and encoding them into your workspace so future sessions start smarter.
Core Features & Use Cases
- Session review: Summarises what was worked on today in plain English without exposing raw git output.
- Learning capture & classification: Scans the conversation for direct corrections, patterns, and observations and classifies them as HIGH, MEDIUM, or LOW with coaching-style prompts.
- Context updates & safe save: Proposes one-at-a-time edits to mission-context and CLAUDE.md, requests explicit approval via AskUserQuestion, and commits approved changes to GitHub silently.
- Use case: After drafting a newsletter, run lets-wrap to record your preferred voice, save terminology changes to mission context, and back everything up.
Quick Start
Say lets wrap at the end of your session to capture learnings, review proposed edits, and save approved updates to your repository.