Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

Add more skills

Decision summary

sealeap-amazon-jp-apparel-ads is the strongest overall pick here because it has a 58/100 readiness score and fits Research agents.

Strongest overall

sealeap-amazon-jp-apparel-ads

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

sealeap-amazon-jp-apparel-ads

Best first install candidate based on install readiness and adoption.

Freshest repo

sealeap-amazon-jp-apparel-ads

Most recent maintenance signal among this shortlist.

Signalsealeap-amazon-jp-apparel-ads

Diagnose and plan Amazon Japan apparel advertising with Japan-specific consumer behavior, seasonality, and ASIN lifecycle playbooks for long-lifecycle, short-lifecycle, and seasonal products. Use for 日本站服饰广告, JP apparel ads, 背包/内衣/泳装投放, ASIN 生命周期判断, 日本站新品冷启动, 品牌推广启动时机, Amazon Points, 日文功能词, 季节性备货与预热, 广告预算结构, ACOS/ROAS 诊断, 复购再营销, 或根据《亚马逊日本站服饰品类广告运营手册》输出可审批的投放方案. Default to analysis and draft; do not mutate live campaigns without explicit human approval.

Quality
59/100
Promising
Decision verdict
58/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption16 stars
Verified outcomes are shown on each skill page
FreshnessAug 23, 2026
Use-case fit
Workflow fit
Platform hintsClaude Code
WarningsLow GitHub adoption signal · No OpenAgentSkill engagement data yet
Best forResearch agents workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-jp-apparel-ads