user-segmentation

user-segmentation is a Customer feedback analysis skill for AI agents, published by killvxk in the pm-skills-zh repository on GitHub. Skillspace rates user-segmentation D (65/100) and it passed the safety scan; the rating is based on static analysis only.

从反馈数据中按行为、JTBD（待完成工作）和需求对用户进行细分，识别至少 3 个差异明显的用户细分市场。适用于细分用户群体、分析多样化用户反馈或构建细分模型的场景。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
103

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.

View source on GitHubkillvxk/pm-skills-zh

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 JTBD-based user segmentation method for any product team

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

Better-rated skills in Customer feedback analysis

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.