cognitive-taxonomy
CommunityRoute memory design by cognitive layer.
Education & Research#agentic systems#neuro-symbolic#retrieval routing#memory classification#cognitive taxonomy#vector db#knowledge architecture
Authorthistleknot
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you classify agentic memory patterns and choose the right memory paradigm by turning overlapping research taxonomies into a single actionable routing framework.
Core Features & Use Cases
- Unified memory taxonomy: Maps implicit, explicit, and agentic paradigms to specific memory functions, forms, and dynamics for consistent design choices.
- Architecture decision support: Guides when vector+BM25 is insufficient and what additional layer(s) are needed for a given task type, including System 1 vs System 2 retrieval.
- Query routing and system explanation: Provides a practical decision matrix for selecting memory/storage/retrieval approaches based on query intent (factual, constraint, procedural, open-ended).
Quick Start
Ask an AI to classify your current memory approach using cognitive-taxonomy and recommend the missing layer(s) for your target task type.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cognitive-taxonomy Download link: https://github.com/thistleknot/skills/archive/main.zip#cognitive-taxonomy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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