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Cognitive Brain

๐Ÿง  Cognitive Brain Skill

aboutyao0 source installsโ˜† 0 Repository stars
View source โ†—InstallationSKILL.md โ†—

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install aboutyao/cognitive-brain

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source โ†—Guides

Skill instructions

๐Ÿง  Cognitive Brain Skill

A brain-like cognitive system that simulates human memory and learning mechanisms
็ฑป่„‘่ฎค็Ÿฅ็ณป็ปŸ - ๆจกๆ‹Ÿไบบ็ฑป่ฎฐๅฟ†ไธŽๅญฆไน ๆœบๅˆถ

Overview / ๆฆ‚่ฟฐ

EN: Simulates the human brain's four-layer memory architecture (sensory, working, episodic, semantic), supporting associative activation, semantic retrieval, and meta-cognitive reflection for continuous learning and self-improvement.

CN: ๆจกๆ‹Ÿไบบ็ฑปๅคง่„‘็š„ๅ››ๅฑ‚่ฎฐๅฟ†ๆžถๆž„๏ผˆๆ„Ÿๅฎ˜ใ€ๅทฅไฝœใ€ๆƒ…ๆ™ฏใ€่ฏญไน‰๏ผ‰๏ผŒๆ”ฏๆŒ่”ๆƒณๆฟ€ๆดปใ€่ฏญไน‰ๆฃ€็ดขใ€ๅ…ƒ่ฎค็Ÿฅๅๆ€๏ผŒๅฎž็ŽฐๆŒ็ปญๅญฆไน ไธŽ่‡ชๆˆ‘ๆ”น่ฟ›ใ€‚

Storage Architecture / ๅญ˜ๅ‚จๆžถๆž„

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                    Redis (Hot Data / ็ƒญๆ•ฐๆฎ)             โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”‚
โ”‚  โ”‚ Sensory     โ”‚  โ”‚ Working     โ”‚  โ”‚ Activation  โ”‚    โ”‚
โ”‚  โ”‚ Memory      โ”‚  โ”‚ Memory      โ”‚  โ”‚ Cache       โ”‚    โ”‚
โ”‚  โ”‚ TTL: 30s    โ”‚  โ”‚ TTL: 1h     โ”‚  โ”‚ TTL: 5min   โ”‚    โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                         โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚              PostgreSQL + pgvector (Long-term / ้•ฟๆœŸ)    โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”‚
โ”‚  โ”‚ Concepts    โ”‚  โ”‚ Episodes    โ”‚  โ”‚ Reflections โ”‚    โ”‚
โ”‚  โ”‚ (Semantic)  โ”‚  โ”‚ (Episodic)  โ”‚  โ”‚ (Meta-cog)  โ”‚    โ”‚
โ”‚  โ”‚ + vector    โ”‚  โ”‚ + vector    โ”‚  โ”‚             โ”‚    โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚           Associations (Network / ่”ๆƒณ็ฝ‘็ปœ)     โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Four-Layer Memory Model / ๅ››ๅฑ‚่ฎฐๅฟ†ๆจกๅž‹

Layer ๅฑ‚็บง Duration ๆŒ็ปญๆ—ถ้—ด Storage ๅญ˜ๅ‚จ Purpose ไฝœ็”จ
Sensory ๆ„Ÿๅฎ˜ Milliseconds ๆฏซ็ง’็บง Redis Instant perception buffer ็žฌๆ—ถๆ„Ÿ็Ÿฅ็ผ“ๅ†ฒ...

Source information

Source
github
Repository
openclaw/skills
Path
skills/aboutyao/cognitive-brain
Version
โ€”
Commit
e7969f6ed4da0db9c76b4e3d8d555df02b1b7f72
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# ๐Ÿง  Cognitive Brain Skill

> A brain-like cognitive system that simulates human memory and learning mechanisms  
> ็ฑป่„‘่ฎค็Ÿฅ็ณป็ปŸ - ๆจกๆ‹Ÿไบบ็ฑป่ฎฐๅฟ†ไธŽๅญฆไน ๆœบๅˆถ

---

## Overview / ๆฆ‚่ฟฐ

**EN:** Simulates the human brain's four-layer memory architecture (sensory, working, episodic, semantic), supporting associative activation, semantic retrieval, and meta-cognitive reflection for continuous learning and self-improvement.

**CN:** ๆจกๆ‹Ÿไบบ็ฑปๅคง่„‘็š„ๅ››ๅฑ‚่ฎฐๅฟ†ๆžถๆž„๏ผˆๆ„Ÿๅฎ˜ใ€ๅทฅไฝœใ€ๆƒ…ๆ™ฏใ€่ฏญไน‰๏ผ‰๏ผŒๆ”ฏๆŒ่”ๆƒณๆฟ€ๆดปใ€่ฏญไน‰ๆฃ€็ดขใ€ๅ…ƒ่ฎค็Ÿฅๅๆ€๏ผŒๅฎž็ŽฐๆŒ็ปญๅญฆไน ไธŽ่‡ชๆˆ‘ๆ”น่ฟ›ใ€‚

---

## Storage Architecture / ๅญ˜ๅ‚จๆžถๆž„

```
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                    Redis (Hot Data / ็ƒญๆ•ฐๆฎ)             โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”‚
โ”‚  โ”‚ Sensory     โ”‚  โ”‚ Working     โ”‚  โ”‚ Activation  โ”‚    โ”‚
โ”‚  โ”‚ Memory      โ”‚  โ”‚ Memory      โ”‚  โ”‚ Cache       โ”‚    โ”‚
โ”‚  โ”‚ TTL: 30s    โ”‚  โ”‚ TTL: 1h     โ”‚  โ”‚ TTL: 5min   โ”‚    โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                         โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚              PostgreSQL + pgvector (Long-term / ้•ฟๆœŸ)    โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”‚
โ”‚  โ”‚ Concepts    โ”‚  โ”‚ Episodes    โ”‚  โ”‚ Reflections โ”‚    โ”‚
โ”‚  โ”‚ (Semantic)  โ”‚  โ”‚ (Episodic)  โ”‚  โ”‚ (Meta-cog)  โ”‚    โ”‚
โ”‚  โ”‚ + vector    โ”‚  โ”‚ + vector    โ”‚  โ”‚             โ”‚    โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚           Associations (Network / ่”ๆƒณ็ฝ‘็ปœ)     โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
```

---

## Four-Layer Memory Model / ๅ››ๅฑ‚่ฎฐๅฟ†ๆจกๅž‹

| Layer ๅฑ‚็บง | Duration ๆŒ็ปญๆ—ถ้—ด | Storage ๅญ˜ๅ‚จ | Purpose ไฝœ็”จ |
|------------|-------------------|--------------|--------------|
| Sensory ๆ„Ÿๅฎ˜ | Milliseconds ๆฏซ็ง’็บง | Redis | Instant perception buffer ็žฌๆ—ถๆ„Ÿ็Ÿฅ็ผ“ๅ†ฒ...

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