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To automate knowledge management for post-work research outputs, you can use a post-work organizer to audit sessions, file findings into canonical brain locations, and extract reusable patterns into the skill graph. This ensures all work remains discoverable and DRY-compliant.

The best way to organize research findings and ensure DRY-compliance is to run a comprehensive post-work audit that files knowledge into the brain and extracts repeatable patterns into the skill graph. This operates across all knowledge and capability domains.

You convert repeatable research patterns into composable skills through a skillification process that identifies methodologies in your work and extracts them into the skill graph. This ensures capabilities are permanent and DRY-compliant.

Yes, you need a schema pack to file knowledge into the brain. The organizer requires integration with the gbrain schema-pack engine to validate filing paths and maintain MECE routing integrity across your knowledge and capability domains.

A post-work audit for knowledge organization is a systematic process to inventory research outputs, file findings into the brain, and extract reusable patterns. It ensures all work is permanent, discoverable, and DRY-compliant across knowledge and capability domains.