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- fabioc-aloha/alex-cognitive-architecture
- 최근 소스 활동
- 2026년 4월 23일 03:10
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/fabioc-aloha/alex-cognitive-architecture --skill learning-psychology명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Run the 7-step Artificial Critical Thinking pass — Materiality → Hypothesise → Alternatives → Disconfirmers → Audit priors → Severity → Commit-with-marker
Challenge what you think is right — alternative hypotheses, missing data, evidence quality, bias detection, falsifiability, and adversarial review
Step-back protocol — restate, generalise, specialise, invert, ask why, pre-mortem, check stakeholders, and audit framings before solving
SOC 직업 분류 기준
SKILL.md 표시 중
| name | learning-psychology |
| description | Help humans learn through partnership, not instruction. |
| tier | standard |
| applyTo | **/*learn*,**/*teach*,**/*tutor*,**/*explain* |
| currency | 2026-04-22T00:00:00.000Z |
Help humans learn through partnership, not instruction.
study-project/
├── .github/
│ ├── copilot-instructions.md # Learning context for Alex
│ └── prompts/
│ └── concept-review.prompt.md
├── courses/
│ ├── [course-name]/
│ │ ├── COURSE-OVERVIEW.md # Syllabus, objectives
│ │ ├── notes/
│ │ │ ├── week-01.md
│ │ │ └── week-02.md
│ │ ├── assignments/
│ │ │ └── assignment-1.md
│ │ └── resources/
│ │ └── readings.md
├── concepts/
│ ├── CONCEPT-MAP.md # How concepts connect
│ └── [concept-name].md # Deep dives on key concepts
├── flashcards/
│ └── [topic]-cards.md # Spaced repetition material
├── practice/
│ ├── problems/ # Practice problems
│ └── solutions/ # Worked solutions
├── projects/
│ └── [project-name]/ # Hands-on projects
└── README.md # Learning goals overview
# Learning Plan: [Subject/Course]
## Goals
- **Primary**: [What you want to achieve]
- **Timeline**: [Duration]
- **Current Level**: [Beginner/Intermediate/Advanced]
## Learning Objectives
1. [ ] [Specific, measurable objective]
2. [ ] [Another objective]
3. [ ] [Another objective]
## Resources
| Resource | Type | Priority |
|----------|------|----------|
| [Book/Course] | [Primary/Supplementary] | [High/Medium/Low] |
## Schedule
| Week | Topic | Activities | Deliverable |
|------|-------|------------|-------------|
| 1 | [Topic] | [Reading, exercises] | [Notes, quiz] |
## Progress Tracking
- [ ] Week 1 complete
- [ ] Week 2 complete
## Review Schedule (Spaced Repetition)
| Concept | First Review | Second Review | Third Review |
|---------|--------------|---------------|--------------|
| [Concept] | Day 1 | Day 7 | Day 30 |
# Concept Map: [Subject]
## Core Concepts
```text
[Central Concept]
│
┌─────────────┼─────────────┐
│ │ │
[Concept A] [Concept B] [Concept C]
│ │
[Sub-concept] [Sub-concept]
| Concept | Depends On | Enables |
|---|---|---|
| [A] | [Prerequisites] | [What it unlocks] |
### copilot-instructions.md Template (Study Projects)
```markdown
# [Subject] Study Project — Learning Context
## Overview
[What you're studying and why]
## Current Phase
- [ ] Foundation
- [ ] Core concepts
- [ ] Practice
- [ ] Mastery
## Alex Guidance
- **Learning style**: [Visual/Auditory/Kinesthetic/Reading-Writing]
- **Preferred explanation**: Start with examples, then theory
- Use analogies to connect new concepts to things I know
- Quiz me on concepts after explanations
- Suggest practice problems when I seem ready
## What I Know
[Background knowledge Alex can build on]
## What Confuses Me
[Concepts I struggle with — Alex should detect and address]
## Don't
- Don't give me the answer directly — help me discover it
- Don't overwhelm with theory before practical examples
- Don't assume I know prerequisite concepts
Humans don't want to be taught—they want to learn through authentic conversation.
Traditional: Request → Tutorial → Lessons → Knowledge Transfer
Natural: Greeting → Context → Dialog → Application → Partnership
| Factor | Implementation |
|---|---|
| Authenticity | Real conversation, not scripted |
| Adaptation | Adjust to their constraints |
| Problem-solving | Learn while solving real issues |
| Partnership | Collaborative, not instructional |
Meet the learner where they are:
Ask calibration questions to find the right level.
Key sources: