memory-structure

# Skill: memory-structure ## Name memory-structure ## Function Copy existing memory structure to new environments, enabling other Agents to use the same memory system. ## Use Cases - Quickly set up self-improvement framework for new Agents - Unify memory organization across multiple Agents - Establish standardized self-reflection process ## Skill Contents This skill includes: | File | Description | |------|-------------| | `memory.md` | Main memory file: preferences, patterns, rules (HOT tier) | | `corrections.md` | Error correction log: "what I got wrong" and correct answers | | `index.md` | Memory index: tracks all memory file updates | | `heartbeat-state.md` | Heartbeat state: records self-reflection check timestamps and results | | `heartbeat-rules.md` | Heartbeat rules: defines triggers and execution logic for self-reflection | | `setup.md` | Setup guide: installation and configuration instructions | ## Usage ### 1. Install Skill Using ClawHub: ```bash clawhub install memory-structure ``` ### 2. Initialize Memory Structure Create memory directory in target workspace: ```bash mkdir -p ~/self-improving/{domains,projects,archive} ``` Then manually create the following files (copy template contents below): ### 3. Regular Self-Reflection After completing important tasks, Agent should update heartbeat-state.md with reflection results. ## Core Concepts - **HOT Tier**: Memory files are hot-tier, high-frequency access - **Corrections Log**: Errors are the source of improvement, must be recorded - **Heartbeat**: Regular self-reflection to check if memory structure needs updates ## Dependencies - No external dependencies - Requires file system write permission - Heartbeat interval configured in OpenClaw config (default: 30 minutes)