What problem does it solve? AI assistants like Claude have no persistent memory between sessions, so long projects lose all context when a conversation ends or is interrupted. This Skill compresses an entire working session into a compact, structured continuation package that any new session can use to resume exactly where work stopped. ## Core Features & Use Cases - Continuation Packages: Generates a structured markdown block capturing current architecture, active work, pending TODOs, dependency maps, naming conventions, and a ready-to-paste resume prompt. - Multi-Level Memory Strategies: Combines in-chat packages, memory_user_edits, disk progress files, STENO one-line markers, and Quick State Snapshots for layered persistence. - Context Window Management: Applies hot/warm/cold session hierarchy, 3-layer retrieval (index/context/details), and compaction discipline to keep long sessions efficient. - Use Case: After 25 turns building a multi-module project, ask to save state; the Skill produces a package under 1500 tokens that a fresh session can use to continue from the exact file and step where you stopped. ## Quick Start Ask the AI to save the current session state as a continuation package so you can resume this project in a new conversation later.
