storefront-to-brand-system

storefront-to-brand-system is a Brand voice & messaging skill for AI agents, published by kangarooking in the kangarooking-skills repository on GitHub. Skillspace rates storefront-to-brand-system D (68/100) and it passed the safety scan; the rating is based on static analysis only.

将用户提供的真实实体店照片转化为可落地的品牌视觉系统。适用于花店、咖啡店、烘焙店、书店、买手店、工作室与生活方式小店;完成商业与空间分析、几何标志提炼、门店轻改造、包装物料和社媒传播,并保持原店铺可辨认、品牌一致且贴近日常消费审美。

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
614

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
89 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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