loop-optimizer
Instructions for the upstream workflow: Orchestrate a retroactive loop with token economy — a controller that picks the next loop action from extracted features, tracks progress state and stop reasons, and can replay a baseline loop to compare against the optimized one. Use when an iterate-until-done loop must be bounded and its cost measured rather than left to a fixed iteration count. Not for the persistent windows a loop reads — use context-windows; not for distilling what the loop learned — use agent-intel; not for running the loop's sub-agents — use the agent delegation surface.
- Version
- 1.0.0
- License
- MIT
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