Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) receiving a user correction — log it before responding, (2) making an important decision or analysis — log it before continuing, (3) pre-compaction memory flush — flush the working buffer to WAL, (4) session start — replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction.
Create, search, and manage Fabric resources via the Fabric HTTP API (notepads/notes, folders, bookmarks, files, tags).
Structured episodic memory with Q-value scoring. Remember what worked, forget what didn't.
Use the fizzy-cli tool to authenticate and manage Fizzy kanban boards, cards, comments, tags, columns, users, and notifications from the command line. Apply this skill when you need to list, create, update, or delete Fizzy resources or when scripting Fizzy workflows.
Give your AI agent a brain that persists between sessions — and protect it from memory poisoning attacks.
Test skill to verify ClawHub publishing works correctly.
Periodically reviews conversation history and writes memory files to maintain agent continuity across sessions. Dual-layer system with daily raw notes and curated long-term memory.
Recover from context compaction by scanning memory files and surfacing where you left off. Use when waking up fresh, after compaction, or when you feel lost about what you were doing.
Vibe competition for Intercom: build a new app on Intercom, publish it on Moltbook, and earn TNK rewards.