learning-engine

To automatically analyze error logs and prevent recurring mistakes, the system extracts failure patterns from the `memory/errors/` directory, generates actionable rules, and saves them in `memory/learned-rules/`.

You can update skill documentation automatically by extracting insights from self-evaluations and performance metrics, then integrating the new rules directly into the relevant `SKILL.md` files.

The best way to extract success patterns from self-evaluations is to process performance data and self-assessments to identify successful operations, generating actionable rules saved in `memory/learned-rules/`.

Yes, you can generate a comprehensive weekly report on learned error patterns and successes by asking the agent to summarize what it learned, which automatically produces a report every Monday.

Automatic rule generation works by analyzing error logs to identify specific failure patterns, then creating and saving actionable rules in `memory/learned-rules/` to prevent identical mistakes in future operations.

No, skill integration does not require manual updates because the system automatically updates the relevant `SKILL.md` files with new lessons and rules extracted from analyzed error logs and performance data.