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>

10_Wiki/Topics/Domain_Programming/AI_and_ML/Connect-AI-Documentation.md

@@ -0,0 +1,122 @@
+---
+id: wiki-2026-0508-connect-ai-documentation
+title: Connect AI Documentation
+category: 10_Wiki/Topics
+status: verified
+canonical_id: self
+aliases: [ConnectAI documentation, AI agent documentation, system docs, SOP, API spec]
+duplicate_of: none
+source_trust_level: B
+confidence_score: 0.83
+verification_status: applied
+tags: [documentation, ai-agent, sop, api-spec, knowledge-base, project-internal]
+raw_sources: []
+last_reinforced: 2026-05-10
+github_commit: pending
+tech_stack:
+  language: documentation
+  applicable_to: [Internal AI Agent Project, SOP, Onboarding]
+---
+
+# Connect AI Documentation
+
+## 매 한 줄
+> **"매 complex AI 의 readable 의 manual"**. 매 system architecture + SOP + API spec 의 unified. 매 modern: 매 living doc + 매 RAG 의 query-able + 매 AI 의 self-update. 매 [[Codebase_Onboarding_Guide]] 와 의 align.
+
+## 매 핵심 component
+1. **System Architecture**: 매 C4 model.
+2. **SOP**: 매 step-by-step operation.
+3. **API Spec**: 매 OpenAPI / GraphQL schema.
+4. **ADR**: 매 decision record.
+5. **Glossary**: 매 term.
+6. **Runbook**: 매 incident response.
+7. **Onboarding**: 매 new dev.
+
+## 매 living doc 의 element
+- **CI 의 sync**: 매 stale 의 detect.
+- **RAG-queryable**: 매 LLM 의 answer.
+- **Code → doc**: 매 generate from source.
+- **Multi-format**: markdown + diagram + interactive.
+
+## 매 best practice
+- 매 README first.
+- 매 Diátaxis (tutorial / how-to / reference / explanation).
+- 매 minimum viable doc.
+- 매 example > prose.
+- 매 versioning.
+- 매 link > duplicate.
+
+## 💻 패턴
+
+### Doc-as-code (Mintlify / Docusaurus / Astro)
+```
+docs/
+├── index.mdx
+├── architecture.mdx (C4)
+├── runbook/
+│   ├── incident-database.mdx
+│   └── incident-deploy.mdx
+├── api/
+│   └── (OpenAPI generated)
+└── onboarding.mdx
+```
+
+### Living doc (CI sync check)
+```yaml
+- name: Doc drift check
+  run: |
+    npm run extract-types
+    git diff --exit-code docs/api-types.json || \
+      (echo "Doc out of sync — regenerate" && exit 1)
+```
+
+### RAG over docs
+```python
+from langchain.vectorstores import Chroma
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+
+splitter = RecursiveCharacterTextSplitter(chunk_size=1000)
+chunks = splitter.split_documents(load_md_files('docs/'))
+vectordb = Chroma.from_documents(chunks, embeddings, persist_directory='./doc-rag')
+
+def ask_doc(question):
+    relevant = vectordb.similarity_search(question, k=5)
+    return llm.generate(f"Use these docs:\n{relevant}\n\nQuestion: {question}")
+```
+
+### OpenAPI generation
+```ts
+// 매 zod-to-openapi
+import { extendZodWithOpenApi } from '@asteasolutions/zod-to-openapi';
+extendZodWithOpenApi(z);
+
+const userSchema = z.object({
+  id: z.string().openapi({ example: 'uuid-...' }),
+  email: z.string().email().openapi({ example: 'user@example.com' }),
+}).openapi('User');
+```
+
+## 🔗 Graph
+- 응용: [[Codebase_Onboarding_Guide]] · [[Codebase_Maps_and_Interactive_Tours]] · [[ADR]] · [[C4_Model]]
+- Adjacent: [[Asset-Specific-Knowledge]] · [[Software Architecture Styles]]
+
+## 🤖 LLM 활용
+**언제**: 매 internal AI project 의 doc design.
+**언제 X**: 매 single-file script.
+
+## ❌ 안티패턴
+- **Stale doc**: 매 CI 의 sync 의 X.
+- **Single huge file**: 매 navigate 의 X.
+- **No examples**: 매 pure prose.
+- **Code 의 doc 의 mismatch**: 매 source-of-truth 의 ambiguous.
+
+## 🧪 검증 / 중복
+- Verified (Diátaxis, doc-as-code best practice).
+- 신뢰도 B.
+- Related: [[Codebase_Onboarding_Guide]] · [[Codebase_Maps_and_Interactive_Tours]] · [[Asset-Specific-Knowledge]].
+
+## 🕓 Changelog
+| 날짜 | 변경 |
+|---|---|
+| 2026-05-08 | Phase 1 |
+| 2026-05-10 | Manual cleanup — components + 매 doc-as-code / RAG / OpenAPI code |