| name | memory-extractor |
| description | Extract durable memories from recent conversation turns into user, feedback, project, and reference categories while avoiding stale code-state facts. |
Memory Extractor
Use this skill when you want to persist durable collaboration context from the latest conversation turns.
Use It For
- capturing user preferences
- saving feedback about how to work
- recording non-code project constraints or deadlines
- storing pointers to external systems
Avoid It For
- storing code structure or file locations
- saving short-lived task state that belongs in a plan
- duplicating an existing memory topic without checking first
Quick Start
Build a manifest of existing memories:
python3 {baseDir}/scripts/memory_manifest.py --memory-root /path/to/memory
Then use the portable prompt in references/prompt-template.md.
Four Types
user
feedback
project
reference
Rules
- save only durable signals
- avoid code-state facts that can drift
- prefer updating an existing topic file
- organize by topic, not chronology
Supporting Files