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sky-lv

Oc Extract Memories

by SKY-lv · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
110
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0
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1
Active Installs
1
Versions
Install in OpenClaw
/install oc-extract-memories
Description
Extract key memories from conversation into topic files. Triggers: extract memories, 提炼记忆, /extract-memories. Auto-triggers on conversation end words.
Usage Guidance
This skill is internally coherent but it will persist parts of conversations to memory/topics/ and update MEMORY.md automatically when it detects end-of-conversation phrases. Before installing, confirm where your agent stores workspace files and who can access them; do not let the skill store secrets, credentials, full source code, or other sensitive data. If you prefer manual control, consider disabling or restricting the skill's autonomous invocation or reviewing written topic files regularly and setting strict file permissions. If anything about where files are stored or how often they are written is unclear, ask the skill author for details before enabling it.
Capability Assessment
Purpose & Capability
The skill's name/description (extract memories into topic files) aligns with its runtime instructions (create topic files under memory/topics/ and append an entry to MEMORY.md). It does not request unrelated binaries, env vars, or config paths.
Instruction Scope
Instructions explicitly tell the agent to analyze the current conversation and write topic files and an index entry. This is consistent with the stated purpose but does grant the skill the ability to persist conversation content to disk; it does not instruct reading unrelated system files or exfiltrating data externally.
Install Mechanism
Instruction-only skill with no install steps or downloads — lowest-risk deployment model.
Credentials
No environment variables, credentials, or config paths are requested. The declared requirements are minimal and proportional to the task of local memory persistence.
Persistence & Privilege
always is false (normal). The skill is allowed to invoke autonomously (platform default) and is designed to auto-trigger at conversation end phrases; that means it may write files regularly without an explicit user command — intended behavior but something to be aware of.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install oc-extract-memories
  3. After installation, invoke the skill by name or use /oc-extract-memories
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of extract-memories skill. - Automatically extracts key memories from conversations at end triggers (e.g., "bye", "see you"). - Supports four memory types: user, feedback, project, and reference, each with structured formats. - Writes each memory into a dedicated topic file in memory/topics/, and updates MEMORY.md with a summary. - Excludes specific information types such as code structure, git history, and temporary task statuses to avoid redundancy. - Includes both English and Chinese command triggers and end-word detection.
Metadata
Slug oc-extract-memories
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Oc Extract Memories?

Extract key memories from conversation into topic files. Triggers: extract memories, 提炼记忆, /extract-memories. Auto-triggers on conversation end words. It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.

How do I install Oc Extract Memories?

Run "/install oc-extract-memories" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Oc Extract Memories free?

Yes, Oc Extract Memories is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Oc Extract Memories support?

Oc Extract Memories is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Oc Extract Memories?

It is built and maintained by SKY-lv (@sky-lv); the current version is v1.0.0.

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