beachhead-segment
beachhead-segment is a Go-to-market planning skill for AI agents, published by lucas-flatwhite in the pm-skills-ko repository on GitHub. Skillspace rates beachhead-segment D (65/100) and it passed the safety scan; the rating is based on static analysis only.
제품 출시를 위한 첫 번째 교두보 시장 세그먼트를 파악합니다. 절박한 페인 포인트, 지불 의향, 확보 가능한 시장 점유율, 추천 가능성을 기준으로 세그먼트를 평가합니다. 첫 번째 시장을 선택하거나, 초기 고객 세그먼트를 타기팅하거나, 시장 진입 전략을 계획할 때 활용합니다.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 41
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic beachhead market segmentation framework, no repo or product ties
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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