/install memory-taxonomist-clarkchenkai
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.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install memory-taxonomist-clarkchenkai - After installation, invoke the skill by name or use
/memory-taxonomist-clarkchenkai - Provide required inputs per the skill's parameter spec and get structured output
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.