# Memory Extractor

> Extract durable memories from recent conversation turns into user, feedback, project, and reference categories while avoiding stale code-state facts.

- Skill: `learnprompt/memory-extractor` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add learnprompt/memory-extractor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/learnprompt/memory-extractor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: learnprompt (https://skillmd.com/u/learnprompt)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/learnprompt/memory-extractor

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# 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:

```bash
python3 {baseDir}/scripts/memory_manifest.py --memory-root /path/to/memory
```

Then use the portable prompt in [references/prompt-template.md](./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](./references/prompt-template.md)
- Source notes: [references/source-notes.md](./references/source-notes.md)
- Helper script: `python3 {baseDir}/scripts/memory_manifest.py ...`