refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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id: wiki-2026-0508-horizontal-and-vertical-logic
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title: Horizontal and Vertical Logic
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Pyramid Logic, Minto Pyramid Logic, MECE-Pyramid Structure]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [structured-thinking, pyramid-principle, mece, communication, consulting]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: en
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framework: minto-pyramid
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---
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# Horizontal and Vertical Logic
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## 매 한 줄
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> **"매 vertical logic = parent ↔ children Q&A coherence; horizontal logic = sibling MECE coherence"**. 매 1973 Barbara Minto (McKinsey) 의 Pyramid Principle 의 dual axis. 매 2026 의 LLM-assisted argument structuring, executive-summary generation, audit findings 의 modern instances.
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## 매 핵심
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### 매 Vertical logic (Q&A 추적)
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- **Top-down**: 매 main idea → child supports through Why?/How?/What?
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- **Bottom-up**: 매 children 의 grouping → parent emergence.
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- **Test**: 매 each child 의 "answers a Q raised by parent" 의 verify.
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### 매 Horizontal logic (sibling coherence)
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- **MECE**: 매 mutually exclusive + collectively exhaustive.
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- **Inductive**: 매 same-type observations → conclusion.
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- **Deductive**: 매 premise 1 + premise 2 → conclusion (max 4 levels).
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- **Test**: 매 sibling reorder 시 meaning preserved + no overlap + complete.
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### 매 SCQA (Situation-Complication-Question-Answer)
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- **Situation**: 매 audience-known background.
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- **Complication**: 매 disrupting force.
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- **Question**: 매 implicit reader question.
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- **Answer**: 매 main idea (top of pyramid).
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### 매 응용
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1. McKinsey/BCG client deck.
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2. Executive memo.
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3. Audit / financial reporting.
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4. Engineering RFC.
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5. LLM 의 reasoning trace structuring.
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## 💻 패턴
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### Pyramid node tree
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```python
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from dataclasses import dataclass, field
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from typing import Literal
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@dataclass
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class PyramidNode:
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statement: str
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logic_type: Literal["inductive", "deductive"] = "inductive"
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children: list["PyramidNode"] = field(default_factory=list)
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def vertical_test(self) -> bool:
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"""Each child must answer Why/How/What raised by self."""
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return all(self.statement and c.statement for c in self.children)
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def horizontal_test(self) -> bool:
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"""MECE: same logical category, no overlap (heuristic check)."""
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return len({type(c.statement) for c in self.children}) == 1
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```
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### MECE category check
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```python
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def is_mece(items: list[str], categories: dict[str, set[str]]) -> dict:
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covered = set().union(*categories.values())
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overlaps = [
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(a, b) for a in categories for b in categories
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if a != b and categories[a] & categories[b]
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]
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return {
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"exhaustive": set(items) <= covered,
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"exclusive": not overlaps,
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"uncovered": set(items) - covered,
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"overlaps": overlaps,
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}
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```
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### Inductive vs deductive selector
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```python
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def choose_argument_form(num_premises: int, audience_familiarity: float) -> str:
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"""Minto: deductive ≤4 levels, only when audience already accepts premises."""
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if num_premises <= 3 and audience_familiarity > 0.7:
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return "deductive"
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return "inductive" # safer default — group similar evidence
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```
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### SCQA scaffolder
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```python
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def scqa(situation: str, complication: str, question: str, answer: str) -> str:
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return (f"Situation: {situation}\n"
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f"Complication: {complication}\n"
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f"Question: {question}\n"
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f"Answer (main idea): {answer}")
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```
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### Reorder sibling test (horizontal robustness)
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```python
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import itertools
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def reorder_robust(siblings: list[str], judge_meaning: callable) -> bool:
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"""If meaning unchanged across permutations → horizontal logic holds."""
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perms = list(itertools.permutations(siblings))[:6]
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meanings = {judge_meaning(p) for p in perms}
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return len(meanings) == 1
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```
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### LLM critique pass
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```python
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from anthropic import Anthropic
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client = Anthropic()
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def minto_critique(pyramid_yaml: str) -> str:
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return client.messages.create(
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model="claude-opus-4-7",
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max_tokens=2000,
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system=("Audit a Minto pyramid. Flag: (1) children that don't answer the "
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"Q raised by parent, (2) sibling overlaps (not ME), (3) gaps (not CE), "
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"(4) deductive chains beyond 4 levels."),
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messages=[{"role": "user", "content": pyramid_yaml}],
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).content[0].text
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Executive deck | top-down + SCQA opener |
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| Bottom-up synthesis | group findings → emerge top |
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| Diagnostic argument | deductive (≤4 levels) |
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| Survey / audit findings | inductive (group similar) |
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| Confused audience | start with main idea (top) |
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**기본값**: 매 top-down 의 vertical structure + inductive 의 horizontal grouping. 매 SCQA 의 opening.
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## 🔗 Graph
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- 부모: [[Pyramid Principle]]
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- 변형: [[Horizontal and Vertical Logic|Horizontal Logic]] (alias) · (alias) · [[MECE]]
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- Adjacent: [[SCQA]] · [[Issue Tree]]
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## 🤖 LLM 활용
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**언제**: 매 draft pyramid 의 critique, 매 MECE gap 의 surface, 매 SCQA 의 opening 작성, 매 inductive grouping 의 candidate.
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**언제 X**: 매 final audience-specific framing — 매 cultural / political nuance, 매 stakeholder dynamics 의 human judgment 필수.
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## ❌ 안티패턴
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- **Bottom of pyramid 부터 발표**: 매 audience 의 main idea 도달 전 fatigue.
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- **Mixed inductive + deductive 의 same level**: 매 horizontal coherence 깨짐.
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- **5+ siblings**: 매 cognitive overload — 매 7±2 의 lower bound (3-5).
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- **MECE 만 의 추구**: 매 forced taxonomy 의 distortion — 매 90% 의 MECE 의 sometimes acceptable.
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- **Deductive 의 5+ levels**: 매 reader cognitive load 폭증 — 매 Minto 의 4-level cap.
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## 🧪 검증 / 중복
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- Verified (Minto "The Pyramid Principle" 3rd ed, McKinsey communication training, Booz Allen 의 SCQA).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — vertical/horizontal axes, MECE, SCQA, Minto pyramid 패턴 추가 |
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