A workflow for tuning Claude agents to save tokens and manage memory
This is a self-tuning workflow for making produce the wanted result faster while using fewer tokens. It reviews session and proposes changes to the agent setup, including , skills, and agents.
It also covers when the workflow should run automatically, how often it should adjust settings, and how s should be stored. is part of the design.
Useful memories are promoted, while wrong or unhelpful memories are reduced or removed. The goal is to move work away from the user and let the Claude agent improve its own efficiency over time.
Key points
- The workflow analyzes session and suggests agent setup changes.
- It targets , skills, and agents as parts that can be tuned.
- The aim is faster useful output with lower token use.
- Memory is managed by keeping useful items and removing wrong ones.
- Automatic triggers, tuning , and storage are included.