docs: 초기 파일 추가 및 기본 설정 구성

- .git-commit-template.txt: 커밋 메시지 템플릿 추가
- .gitignore: OS 및 데이터베이스 관련 파일 무시 설정 추가
- .mcp.json: MCP 서버 설정 추가
- CLAUDE.md: SuperClaude 엔트리 포인트 문서 추가
- README.md: 프로젝트 템플릿 설명 추가
- .claude/COMMANDS.md: 명령어 실행 프레임워크 문서 추가
- .claude/FLAGS.md: 플래그 시스템 문서 추가
- .claude/MCP.md: MCP 서버 통합 문서 추가
- .claude/MODES.md: 운영 모드 문서 추가
- .claude/ORCHESTRATOR.md: 지능형 라우팅 시스템 문서 추가
- .claude/PERSONAS.md: 페르소나 시스템 문서 추가
- .claude/PRINCIPLES.md: 핵심 원칙 문서 추가
- .claude/RULES.md: 실행 가능한 규칙 문서 추가
- .claude/settings.json: 권한 설정 추가
- .claude/commands 디렉토리: 다양한 명령어 문서 추가
- .taskmaster/config.json: 기본 설정 파일 추가
- .taskmaster/docs 디렉토리: 문서 파일 추가
- .taskmaster/tasks/tasks.json: 기본 작업 파일 추가
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---
allowed-tools: [Bash, Read, Write, Glob]
description: Starts a new or updated MRD (Market Requirements Document) research session.
---
# Start MRD Research Session
## Context
- **User Request:** $ARGUMENTS
- **MRD Directory:** `.taskmaster/docs/mrd/`
- **Existing Sessions:** !`ls -ld .taskmaster/docs/mrd/*/ 2>/dev/null || echo "No existing sessions found"`
## Goal
To initialize a new or updated Market Requirements Document (MRD) research session, set up the dedicated workspace, and present the first research task to the user.
## Process
1. **Determine Session Index:**
- Scan the `.taskmaster/docs/mrd/` directory to find the highest existing session index.
- Assign the next sequential number for the new session.
2. **Create Session Directory:**
- Create a new directory named `[index]-[session_name]` inside `.taskmaster/docs/mrd/`.
- Example: `.taskmaster/docs/mrd/001-mvp-launch/`
3. **Handle Update Session (if `--from` is provided):**
- Copy all `0*_*.md` user research files from the base session directory to the new session directory.
- Generate a `_00_update_kickoff_report.md` file. This report will compare the goals of the base session and the new session, highlighting key assumptions that need to be re-validated.
4. **Initialize Session State:**
- Create a `_session-state.json` file in the new session directory.
- Initialize it with session details (index, name, status: 'initialized', etc.).
5. **Interactive Hypothesis Definition:**
- This step is a structured conversation to build the foundational `01_initial_hypothesis.md`.
- **For a new session:**
- The AI will ask a series of clarifying questions to build the hypothesis, such as:
1. "What is the core problem you are trying to solve?"
2. "Who is the primary target audience for this product?"
3. "At a high level, what is your proposed solution?"
4. "What is the unique value proposition? Why will users choose it over alternatives?"
- After gathering the user's answers, the AI will synthesize them into a coherent initial hypothesis.
- The AI saves this synthesized content into the `01_initial_hypothesis.md` file.
- **For an update session (`--from` is used):**
- The AI first presents the key findings from the generated `_00_update_kickoff_report.md`.
- It then asks for the user's input on the re-validation points. For example: "The report suggests we need to re-validate our target audience. Has your understanding of the target customer changed? If so, how?"
- The user's feedback is incorporated to refine the session's starting assumptions, which can be noted in the kickoff report or a new hypothesis file.
6. **Assign First Task and Generate Research Prompt:**
- Based on the session's goal and initial hypothesis, the AI selects the most logical first research task from the examples below.
- It clearly presents this task to the user, specifying the filename for the output.
- **Crucially**, it must also generate a detailed, self-contained research prompt that can be used by any external agent or tool. This prompt should be presented to the user in a structured format.
**Research Prompt Generation Template:**
The AI will use the newly created `01_initial_hypothesis.md` to construct a prompt like this:
```
### Research Prompt: [Objective of the Task]
**1. Project Context:**
- **Product/Idea:** [Synthesized from 01_initial_hypothesis.md - e.g., "A platform connecting eco-friendly suppliers with small businesses."]
- **Core Problem:** [From hypothesis - e.g., "Small businesses struggle to find and verify sustainable suppliers."]
- **Target Audience:** [From hypothesis - e.g., "Owners of small to medium-sized retail businesses."]
- **Proposed Solution:** [From hypothesis - e.g., "A curated, searchable marketplace with a built-in verification system."]
**2. Research Objective:**
- [A clear goal for this specific research task, e.g., "To deeply understand the competitive landscape for our proposed solution."]
**3. Key Research Questions:**
- [A list of 3-5 specific questions. For competitor analysis, it could be:]
- Who are the top 3 direct and indirect competitors?
- What are their pricing models and key features?
- What are their primary strengths and weaknesses (SWOT)?
- What market segment do they primarily target?
**4. Expected Deliverables:**
- A summary of findings.
- Detailed answers to each key research question.
- A concluding analysis of opportunities and threats for our product.
```
**First Research Task Examples:**
- **Task:** "Define the target market size, segments, and create detailed user personas."
- **Filename:** `02_market_and_persona.md`
- **Task:** "Validate the core problem this product aims to solve and outline the proposed solution's unique value proposition."
- **Filename:** `02_problem_and_solution.md`
- **Task:** "Identify the top 3-5 direct and indirect competitors and analyze their strengths, weaknesses, and market positioning."
- **Filename:** `02_competitive_landscape.md`
- **Task:** "Brainstorm a list of potential core features that address the initial hypothesis and align with the target user's needs."
- **Filename:** `02_initial_feature_ideas.md`
- **Task:** "Define the key success metrics and Key Performance Indicators (KPIs) that will be used to measure the product's success."
- **Filename:** `02_success_metrics.md`
- After presenting the task and the detailed prompt, the AI will conclude with: "Once you have completed your research and saved it to the specified file, please run the `/planning/mrd/2-analyze-research-data` command to proceed."
## Example Usage
- **Start a new session:**
`/planning/mrd/1-start-session --name="mvp-launch"`
- **Start a session based on a previous one:**
`/planning/mrd/1-start-session --name="enterprise-expansion" --from="mvp-launch"`