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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

• Prompt template: references/prompt-template.md
• Source notes: references/source-notes.md
• Helper script: python3 {baseDir}/scripts/memory_manifest.py ...