An AI agent can get better over time by learning from its mistakes. This skill helps the agent save corrections and insights into simple text files. It remembers what went wrong and how to fix it. The agent can then use this knowledge to improve its future actions.
When a command fails or the user provides feedback, the agent logs the event. It also notes when a better approach is found. Over time, these logs help the agent avoid repeating errors and become more reliable.
The skill works with a tool called OpenClaw. It sets up a folder called .learnings with separate files for errors, learnings, and feature requests. The agent can review these notes before big tasks to improve its performance.
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