Agent-Sin: AI agent that handles repeated tasks through reusable skills

@Sinchana_v Great question, thanks!

Right now, decline is mostly caught through performance signals – when a skill starts failing, it starts to bounce back.

When unexpected output, or errors occur during run, the runtime flags it and the agent can attempt a repair.

Or regenerate the skill on the next invocation. Therefore it is reactive rather than completely proactive.

Explicit user feedback (“it’s not working anymore”) is still the strongest trigger today, and it

Short-circuits the loop effectively.

Appreciate the really thoughtful question🙏



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