learn

To extract reusable patterns from a debugging session, run /learn to analyze the current context and save identified solutions as formal skills. It surfaces recurring workflows and stores them as structured artifacts for future knowledge reuse.

Automating workflow optimization from recurring tasks is done by capturing session patterns. This skill analyzes your current work, identifies valuable automation patterns, and converts them into reusable skills to reduce repetitive configuration and debugging efforts.

Extracted session patterns are saved as structured skill files under the ~/.codex/skills/learned/ directory. The generated artifacts automatically meet specific storage location, versioned naming scheme, and SKILL.md frontmatter requirements.

Session analysis works for configuration best practices and workflow automation by identifying recurring problems in these contexts. It formalizes the applied solutions into learned skills, ensuring the extracted knowledge is reusable across similar future scenarios.

You should not use pattern extraction for trivial or one-off problems that are unlikely to recur. The extraction is designed for non-trivial debugging, configuration, and workflow automation scenarios where capturing reusable patterns provides ongoing value.