# Memory Extractor

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

- **Type:** Skill
- **Install:** `agentstack add skill-learnprompt-cc-harness-skills-memory-extractor`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [LearnPrompt](https://agentstack.voostack.com/s/learnprompt)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [LearnPrompt](https://github.com/LearnPrompt)
- **Source:** https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/memory-extractor

## Install

```sh
agentstack add skill-learnprompt-cc-harness-skills-memory-extractor
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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 ...`

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [LearnPrompt](https://github.com/LearnPrompt)
- **Source:** [LearnPrompt/cc-harness-skills](https://github.com/LearnPrompt/cc-harness-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-learnprompt-cc-harness-skills-memory-extractor
- Seller: https://agentstack.voostack.com/s/learnprompt
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.