/ 디렉터리 / 플레이그라운드 / claude-marketing-research-skill
● 커뮤니티 ishwarjha ⚡ 바로 사용

claude-marketing-research-skill

제작: ishwarjha · ishwarjha/claude-marketing-research-skill

Structured marketing research workflows — competitor analysis, customer avatars, positioning, value props, and mental models in one skill.

Turns vague 'we need marketing research' into a structured pipeline: competitor teardown → avatar profile → positioning → value proposition → mental models. Outputs are artifacts you can use in campaigns, not generic consultant decks.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

claude-marketing-research-skill.replay ▶ 준비됨
0/0

설치

클라이언트 선택

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "claude-marketing-research-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ishwarjha/claude-marketing-research-skill",
        "~/.claude/skills/claude-marketing-research-skill"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "claude-marketing-research-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ishwarjha/claude-marketing-research-skill",
        "~/.claude/skills/claude-marketing-research-skill"
      ],
      "_inferred": true
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "claude-marketing-research-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ishwarjha/claude-marketing-research-skill",
        "~/.claude/skills/claude-marketing-research-skill"
      ],
      "_inferred": true
    }
  }
}

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "claude-marketing-research-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ishwarjha/claude-marketing-research-skill",
        "~/.claude/skills/claude-marketing-research-skill"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "claude-marketing-research-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ishwarjha/claude-marketing-research-skill",
        "~/.claude/skills/claude-marketing-research-skill"
      ]
    }
  ]
}

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json
{
  "context_servers": {
    "claude-marketing-research-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/ishwarjha/claude-marketing-research-skill",
          "~/.claude/skills/claude-marketing-research-skill"
        ]
      }
    }
  }
}

context_servers에 추가. 저장 시 Zed가 핫 리로드.

claude mcp add claude-marketing-research-skill -- git clone https://github.com/ishwarjha/claude-marketing-research-skill ~/.claude/skills/claude-marketing-research-skill

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: claude-marketing-research-skill

Position a new product entering a crowded market

👤 Founders, PMMs launching into known categories ⏱ ~90 min intermediate

언제 쓸까: You're about to launch and you don't know how to stand out.

사전 조건
  • Skill installed — git clone https://github.com/ishwarjha/claude-marketing-research-skill ~/.claude/skills/claude-marketing-research-skill
흐름
  1. Competitor teardown
    Use claude-marketing-research-skill. Category: [X]. Map the top 5 competitors — messaging, target customer, price, weaknesses.✓ 복사됨
    → Matrix with specific observations per competitor
  2. Avatar
    Profile our target avatar — demographics, pains, current alternatives they cope with.✓ 복사됨
    → Rich avatar doc, not a Cosmo-poll persona
  3. Positioning
    Position us against the competitors for this avatar. What's the sharpest angle?✓ 복사됨
    → Clear positioning statement + why
  4. Value prop
    Translate into a hero-section value prop.✓ 복사됨
    → Headline + subhead that earn a click

결과: A positioning + message kit ready for the launch page.

함정
  • Generic positioning ('faster and easier') — Force a tradeoff — what are we NOT for?

Refresh stale messaging for an existing product

👤 Teams where the site copy is 2 years old ⏱ ~45 min intermediate

언제 쓸까: Your market moved but your copy didn't.

흐름
  1. Audit current
    Use claude-marketing-research-skill. Audit our current hero/features/testimonials. What's stale or generic?✓ 복사됨
    → Specific critique per section
  2. Rewrite
    Rewrite using the fresh avatar and positioning.✓ 복사됨
    → Copy diff

결과: Copy that sounds like 2026, not 2023.

조합

다른 MCP와 조합해 10배 효율

claude-marketing-research-skill + filesystem

Keep marketing research artifacts in a brand folder

Save outputs to brand/research/<date>/✓ 복사됨
claude-marketing-research-skill + github-optimization-skill

Apply positioning to an open-source repo's README

Translate the positioning into a README hero.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
competitor_teardown category, target set Early research 0
avatar_profile product + observed users Persona definition 0
position avatar + competitors After competitor + avatar done 0
value_prop positioning Before copy work 0

비용 및 제한

운영 비용

API 쿼터
None
호출당 토큰
High — research tends to be verbose
금액
Free
Save outputs — you'll reuse the avatar across campaigns.

보안

권한, 시크릿, 파급범위

자격 증명 저장: None
데이터 외부 송신: None from skill

문제 해결

자주 발생하는 오류와 해결

Competitor data is wrong or outdated

Supplement with fresh site reads; LLM's competitor knowledge lags

Avatar is generic

Feed real user quotes and support tickets for grounding

대안

claude-marketing-research-skill 다른 것과 비교

대안언제 쓰나단점/장점
Agency workshopYou have budget and timeSlower; higher quality human work
Raw LLM with a promptQuick one-offsNo structure; output varies wildly

더 보기

리소스

📖 GitHub에서 공식 README 읽기

🐙 열린 이슈 보기

🔍 400+ MCP 서버 및 Skills 전체 보기