claude-marketing-research-skill

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핵심 기능

Competitor analysis framework
Avatar / persona profiling
Positioning canvas
Value proposition construction
Mental models of target customer

라이브 데모

실제 사용 모습

claude-marketing-research-skill.replay ▶ 준비됨

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설치

작성자 저장소 · Claude Skills 공식 문서

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.

흐름

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
Avatar

Profile our target avatar — demographics, pains, current alternatives they cope with.✓ 복사됨

→ Rich avatar doc, not a Cosmo-poll persona
Positioning

Position us against the competitors for this avatar. What's the sharpest angle?✓ 복사됨

→ Clear positioning statement + why
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?

함께 쓰기: filesystem · github-optimization-skill

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

Audit current

Use claude-marketing-research-skill. Audit our current hero/features/testimonials. What's stale or generic?✓ 복사됨

→ Specific critique per section
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

도구	입력	언제 호출
competitor_teardown	category, target set	Early research
avatar_profile	product + observed users	Persona definition
position	avatar + competitors	After competitor + avatar done
value_prop	positioning	Before copy work

비용 및 제한

운영 비용

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

보안

권한, 시크릿, 파급범위

자격 증명 저장: None

데이터 외부 송신: None from skill

Competitor analysis based on LLM knowledge can be stale. Validate against current sites before acting on it.

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