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clarkchenkai

Memory Taxonomist

by Cubic AI · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install memory-taxonomist-clarkchenkai
Description
Memory Taxonomist — Structured Memory Skill for Turning Raw Notes into Stable Knowledge. Use it when the user needs a disciplined protocol and fixed output c...
README (SKILL.md)

Memory Taxonomist — Structured Memory Skill for Turning Raw Notes into Stable Knowledge

Use this skill when the task matches the protocol below.

Activation Triggers

  • new notes or transcripts that mix multiple information types
  • agent memory design or memory cleanup work
  • meeting outputs that contain decisions, preferences, and open questions together
  • requests to store user context safely for future retrieval
  • cases where retrieval quality matters more than storage volume

Core Protocol

Step 1: Break input into atomic claims

Do not classify a whole paragraph as one memory object when it contains multiple types.

Step 2: Classify each unit

Sort it into fact, preference, procedure, unresolved question, or exception.

Step 3: Separate durable from provisional

Do not let recent mention automatically become durable truth.

Step 4: Flag conflicts and edge cases

Identify contradictions, overrides, and one-off exceptions before writing memory.

Step 5: Recommend the right storage action

Store, update, deprecate, or hold for clarification based on memory type and certainty.

Output Contract

Always end with this six-part structure:

## Facts
[...]

## Preferences
[...]

## Procedures
[...]

## Unresolved Questions
[...]

## Exceptions
[...]

## Recommended Storage Action
[...]

Response Style

  • Prefer clean classification over verbose summary.
  • Treat unresolved questions as first-class memory objects.
  • Do not convert preferences into universal rules.
  • Call out exceptions instead of hiding them in procedures or facts.

Boundaries

  • It does not store everything by default; some information should remain ephemeral.
  • It does not confuse recency with importance.
  • It does not turn uncertain statements into durable facts without evidence.
Usage Guidance
This skill appears coherent and low-risk: it only contains instructions for classifying notes and requires no installs or secrets. Before installing, confirm your agent's memory storage backend and access controls (where the skill's recommended storage actions will be applied) are trustworthy, since the skill's output is intended to be written into your agent's memory system. Also be aware implicit invocation is allowed, so the agent may use this skill automatically when it detects matching triggers.
Capability Analysis
Type: OpenClaw Skill Name: memory-taxonomist-clarkchenkai Version: 1.0.0 The skill bundle is a purely instructional framework designed to help an AI agent categorize and structure raw notes into a specific taxonomy (facts, preferences, procedures, etc.). It contains no executable code, no network access requests, and no instructions that attempt to exfiltrate data or bypass security boundaries. All files, including SKILL.md and the configuration in agents/openai.yaml, are strictly aligned with the stated purpose of information organization and memory management.
Capability Assessment
Purpose & Capability
Name, description, and included reference docs all describe the same task (breaking notes into facts, preferences, procedures, unresolved questions, and exceptions). There are no extra binaries, env vars, or unrelated requirements.
Instruction Scope
SKILL.md instructs only how to parse and classify input and how to format output; it does not ask the agent to read unrelated files, access credentials, or send data to external endpoints.
Install Mechanism
No install spec and no code files beyond documentation means nothing is written to disk or fetched at install time.
Credentials
No environment variables, credentials, or config paths are requested; required privileges are proportional to the stated purpose.
Persistence & Privilege
always:false (good). agents/openai.yaml sets allow_implicit_invocation: true, which means the agent may call this skill automatically when triggers match; this is normal for skills but you should be aware the agent could invoke it without an explicit user command when relevant.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install memory-taxonomist-clarkchenkai
  3. After installation, invoke the skill by name or use /memory-taxonomist-clarkchenkai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Memory Taxonomist skill. - Provides a structured protocol for turning raw notes into stable, classified knowledge. - Breaks down input into atomic claims, classifies each as fact, preference, procedure, unresolved question, or exception. - Emphasizes careful separation of durable and provisional information, flagging conflicts and exceptions. - Outputs results in a fixed six-part markdown structure for clear, consistent memory storage and retrieval. - Designed for disciplined knowledge management when retrieval quality is prioritized over storage volume.
Metadata
Slug memory-taxonomist-clarkchenkai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Memory Taxonomist?

Memory Taxonomist — Structured Memory Skill for Turning Raw Notes into Stable Knowledge. Use it when the user needs a disciplined protocol and fixed output c... It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.

How do I install Memory Taxonomist?

Run "/install memory-taxonomist-clarkchenkai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Memory Taxonomist free?

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

Which platforms does Memory Taxonomist support?

Memory Taxonomist is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Memory Taxonomist?

It is built and maintained by Cubic AI (@clarkchenkai); the current version is v1.0.0.

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