By hongsw
Conduct structured research in any domain via a conversational 5-step pipeline: build context from vague interests, generate key questions, identify gaps, extract insights, synthesize findings, and create actionable plans. Self-learn Claude Code interactively through explain-practice-quiz cycles using PPTX automation projects.
Claude Code 자기주도 학습 스킬. "/agentic-learning", "/learn", "학습", "스킬 배우기" 요청에 사용. ai-native-camp/camp-1 기반의 인터랙티브 학습 프레임워크. PPTX 자동 생성 프로젝트를 통일 예시로 사용.
Use when conducting systematic research in any domain (AI, healthcare, manufacturing, etc.), transforming vague interests into structured research through conversational discovery, or when users need evidence-based insights from broad exploration to actionable plans
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한국어 안내 Claude Code에서 체계적인 리서치와 AI 네이티브 학습을 도와주는 플러그인 모음입니다.
포함된 플러그인:
- domain-research: 대화형 리서치 파이프라인 (어떤 분야든 적용 가능)
- agentic-learning: Claude Code 에이전틱 학습 커리큘럼 (Rev 0~6, 7개 레볼루션)
- pdf-research: PDF 문서 인덱싱 및 시맨틱 검색 (LightRAG 기반)
- pm-coach: PM 업무 소통 최적화
A collection of research plugins for Claude Code that help you conduct systematic research through conversational analysis and semantic document search.
| Plugin | Description | Use Case |
|---|---|---|
| domain-research | 5-step research pipeline with conversational intent analysis | Any domain research |
| agentic-learning | AI-native coding curriculum (Rev 0~6, 7 revolutions) | Learn Claude Code by doing |
| pdf-research | LightRAG-based PDF indexing and semantic search | Document analysis |
| pm-coach | PM communication optimization (Korean) | Task communication |
# Add this marketplace to Claude Code
/plugin marketplace add hongsw/plugin-for-claude-research
# Install plugins
/plugin install domain-research
/plugin install agentic-learning
/plugin install pdf-research
/plugin install pm-coach
Domain Research:
You: "I'm interested in AI for healthcare"
Claude: [Conversational discovery → Research context → 5-step pipeline]
Agentic Learning:
You: /agentic-learning
Claude: [레볼루션 0부터 시작 → 환경 설정 → CLI 이해 → 핵심 기능 학습]
You: /learn rev3
Claude: [Rev 3 핵심 기능 레볼루션으로 바로 이동]
PDF Research:
You: /pdf-research ~/Documents/papers 인덱싱해줘
Claude: [Indexes PDFs → Enables semantic search]
You: AI 인재 전략에 대해 알려줘
Claude: [Searches indexed documents → Returns relevant insights]
Screen 3: PDF Research 상태 확인
/pdf-research 명령어로 스킬 실행
Screen 4: PDF 인덱싱 및 검색
Universal research framework that guides users from broad exploration to specific domain research.
Features:
Pipeline:
LightRAG-based semantic search over PDF documents.
Features:
Commands:
# Configure
python pdf_research.py config --pdf-dir /path/to/pdfs
# Index
python pdf_research.py index
# Search
python pdf_research.py search "your question"
# Status
python pdf_research.py status
Requirements:
lightrag-hku[api], pymupdf, python-dotenvAI-native coding curriculum that teaches Claude Code through hands-on agentic workflows.
Curriculum (7 Revolutions):
| Rev | 제목 | 핵심 내용 |
|---|---|---|
| Rev 0 | 환경 설정 | Claude Code 설치 및 첫 실행 |
| Rev 1 | 첫 경험 | 기본 대화, 파일 수정, PPTX 생성 체험 |
| Rev 2 | Why CLI | GUI vs CLI, 왜 터미널이 필요한가 |
| Rev 3 | 핵심 기능 | CLAUDE.md, 스킬, MCP, 서브에이전트, 훅, 플러그인 |
| Rev 4 | 기본기 | 프롬프트 엔지니어링, 컨텍스트 관리 |
| Rev 5 | 스킬 제작 | 나만의 스킬 만들기 실습 |
| Rev 6 | 리서치 통합 | domain-research 결합, AI 네이티브 워크플로우 |
Commands:
/agentic-learning # 처음부터 시작
/learn rev3 # 특정 레볼루션으로 이동
/learn skill # 스킬 만들기 실습
/learn research # 리서치 결합 학습
PM communication optimizer for Korean users.
Modes:
PM 코치 - 업무 소통 최적화. 요청/수신/보고 세 가지 모드로 명확한 소통 지원. 두서없는 지시를 구조화된 업무 정의서로 변환.
LightRAG-based PDF document indexing and semantic search for research workflows
npx claudepluginhub hongsw/plugin-for-claude-research --plugin domain-researchLightRAG-based PDF document indexing and semantic search for research workflows
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
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PhD-level research capabilities: literature review, multi-source investigation, critical analysis, hypothesis-driven exploration, quantitative/qualitative methods, and lateral thinking
Research sprint orchestrator for Claude Code. Structured research with claims, evidence tiers, and compiled output.