ecommerce-sales-dashboard
Skill1 starsChanged 8 months agoNo licenceView on GitHub
Upload an order CSV from Shopify, WooCommerce, 淘宝/天猫, 京东, or any e-commerce platform. Agent generates a complete sales dashboard: GMV trend, AOV distribution, repeat purchase rate, SKU ranking, geographic distribution, refund analysis — as interactive HTML + Markdown report. Designed for indie stores and small e-commerce teams. Triggers: - "sales dashboard" - "ecommerce dashboard" - "order analysis" - "Shopify analytics" - "GMV analysis" - "SKU ranking" - "repeat purchase" - "电商数据" - "销售看板" - "订单分析" - "复购率" - "GMV趋势" - "SKU排行"
In this repository22 other files it gives its agents.
- competitive-analysisSkill
- financial-analystSkill
- market-researchSkill
- research-writingSkill
- user-researchSkill
- contract-drafterSkill
- excel-assistantSkill
- meeting-summarySkill
- pdf-toolkitSkill
- blog-creationSkill
- build-mobile-appSkill
- build-web-appSkill
- landing-pageSkill
- portfolioSkill
- ad-performance-reportSkill
- content-analytics-reportSkill
- product-analytics-dashboardSkill
- course-designerSkill
- email-sequenceSkill
- product-managerSkill
- social-media-strategistSkill
- codebanana-skill-guideSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.