Monitoring a knowledge flywheel helps keep an AI agent's knowledge healthy. This skill checks the flywheel health by measuring knowledge pools, recent activity, and staleness. You can see how many learnings, patterns, research files, and retros exist. It also checks cache health and the ao CLI status. The goal is to find bottlenecks that slow down knowledge flow. Anyone using an AI agent can use this to keep its knowledge up to date.
The flywheel model shows how sessions turn into knowledge and then feed back into future sessions. This skill measures the velocity of knowledge and spots friction points. It helps you understand if your agent is learning effectively. Use it to track progress through the ratchet workflow and ensure nothing is stuck.
Global
mkdir -p ~/.claude/skills/flywheelProject
mkdir -p .claude/skills/flywheelSource Repository
Obsidian Baseskepano/obsidian-skills
Build powerful database views inside Obsidian with filters formulas and summaries
Compressjuliusbrussee/caveman
Shrink memory files into caveman speak to save tokens and preserve code
Dbs Restoredontbesilent2025/dbskill
Continue your diagnosis where you last left off without repeating yourself
Remembergithub/awesome-copilot
Save lessons learned and build a smart knowledge base that grows with you
Remembering Conversationsobra/episodic-memory
Search past conversations to recall decisions, solutions, and avoid repeating mistakes
Rememberrohitg00/agentmemory
Save important insights with tags and recall them later easily
Session Historyrohitg00/agentmemory
See your recent session history in a clean timeline instantly
Recallrohitg00/agentmemory
Quickly recall past sessions and learnings from your agent's memory