user-segmentation
user-segmentation is a Customer feedback analysis skill for AI agents, published by lucas-flatwhite in the pm-skills-ko repository on GitHub. Skillspace rates user-segmentation D (65/100) and it passed the safety scan; the rating is based on static analysis only.
행동, JTBD, 니즈를 기반으로 피드백 데이터에서 사용자 세분화. 최소 3개의 뚜렷한 사용자 세그먼트 식별. 사용자 기반을 세분화하거나, 다양한 사용자 피드백을 분석하거나, 세분화 모델을 구축할 때 활용하세요.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 41
Unproven: rated by static analysis only, not yet compared head-to-head.
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 user-segmentation method from feedback data, any company.
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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