pwrl-learnings - Extract and manage learnings through a five-phase pipeline
Extracts, classifies, structures, deduplicates, and saves learnings from code, commits, tasks, documentation, errors, and reviews.
Tags
Updated: 2026-09-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Extract learning candidates
- Classify learning types
- Prioritize learning entries
- Assign domains and tags
- Detect duplicate learnings
- Structure learning metadata
- Generate storage indexes
- Merge duplicate learnings
- Create learning backups
- Save persistent learning files
- Commit saved changes to Git
Inputs
- Source material
- Source type
- Extraction artifacts
- Classification artifacts
- Structure artifacts
- Deduplication artifacts
- User decisions
Outputs
- Extraction artifact
- Classification artifact
- Structure artifact
- Deduplicated artifact
- Saved artifact
- Backup files
- Updated indexes
- Git commits
Requirements
- User interaction tool
- Persistent storage access
- Git repository access
