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/self-optimization

SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.

From plugin
1.6k200 skills2 agents1 MCP
shell
$ npx -y skills add a5c-ai/babysitter --skill self-optimization --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/self-optimization
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
Ships withbabysitter

Enforce obedience on agentic workforces. Manage extremely complex workflows through deterministic, hallucination-free self-orchestration.

Get the whole plugin, auto-invoked

Other skills on babysitter.