What this diagram shows: OmegaClaw does not start from zero each session. Skills accumulate permanently through a create-store-retrieve cycle.
Task Encounter (red): Novel problem triggers query for existing skills. No match means solving from scratch.
Skill Creation (blue): After solving, extract reusable pattern and store via remember.
Skill Library (green): Real accumulated skills with usage counts — SCP deploy, HTML diagrams, MeTTa inference.
Skill Retrieval (orange): Future tasks trigger semantic search, retrieving and adapting stored skills.
Compound Intelligence (purple): Unlike stateless LLMs, each solved task permanently enriches the agent.