Generate a three-layer data dashboard and NSM-driven diagnostics for DTC brands.
npx skills add https://github.com/afadtc/afa-dtc-skills --skill afa-dashboard
Please help me install this Agent Skill. Skill: afa-dashboard Source: https://github.com/afadtc/afa-dtc-skills/tree/main/afa-dashboard Command: npx skills add https://github.com/afadtc/afa-dtc-skills --skill afa-dashboard
本 Skill 提供一个面向 DTC 品牌的全链路数据仪表盘与诊断框架，帮助企业快速评估健康度、监控北极星指标、发现异常并输出可执行的行动建议，从而实现以数据驱动的增长。
将品牌的月营收、广告花费和渠道数据输入系统，即可生成初始高管摘要和三层看板并给出下一步行动。
High-intent search queries and answers about installing and using this skill.
A DTC data dashboard ingests monthly revenue and ad spend to generate a three-layer executive summary, channel management, and customer insight view with NSM-driven anomaly diagnostics.
Monitoring North Star Metrics for DTC growth requires an NSM-driven health evaluation framework that aligns baseline data and performs structured anomaly diagnostics to locate root causes.
Yes, you can use this dashboard framework for periodic channel reviews. It supports cross-level drilling across executive, channel management, and customer insight layers to track ongoing performance.
Respond to data anomalies in your DTC channel management dashboard by triggering a three-layer diagnostic workflow to isolate root causes and output a structured handoff with actionable next steps.
To start generating an executive summary for your DTC brand, you need to input monthly revenue, advertising spend, and channel data to enforce data integrity and establish baseline alignment.
Avoid using a global data dashboard for anomaly diagnostics when issues require deep execution-level optimization, as the framework enforces boundary control and hands such tasks back to the Hub.
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