activation-dashboard
Page-specific guide for /agents/activation — what the two charts (ACQ AI Activation Rate, AI Weekly Active Users) show, what the Start/End/Locked-as-of filters actually do, what the on-page chatbot is scoped to answer, and the underlying API endpoints. Use this skill whenever someone asks about "the activation page", "that chart", "why did the number change when I changed the filter", or is building/modifying anything on /agents/activation. Also load this into the system prompt of the page's in-app chatbot so it can ground answers in the same documentation everyone else reads. For the underlying metric definitions (what "AI activation" means, cohort methodology), defer to `acq-vantage-retention`. For table schemas and query patterns, defer to `acq-vantage-db`.
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acq-vantage-retention
Framework for ACQ Vantage member retention and activation analysis. Use this skill whenever someone asks about churn, retention, activation signals, onboarding effectiveness, billing source performance, community engagement metrics, or member lifecycle. Also trigger when asked to build, update, or explain a retention/activation report or artifact, verify retention math, explain metric definitions, or investigate churn anomalies. This skill defines how Victor and the team reason about retention — always use it before answering any question involving churn rates, activation rates, or cohort analysis, even if the question seems simple.
Repository SourceNeeds Review
member-health
Page-specific guide for /agents/health — what the composite health score is, how the four bands (Dormant / Lukewarm / Engaged / Champion) are defined, what filters do, what the two charts + at-risk table show, and how the on-page chatbot should answer. Use this skill whenever someone asks about "the health page", the composite score, the bands, or wants to build/modify anything on /agents/health. Also loaded into the system prompt of the page's in-app chatbot. For the underlying retention framework (why signals matter), defer to `acq-vantage-retention`. For cohort-over-time AI adoption questions, defer to `activation-dashboard`.
Repository SourceNeeds Review
outdoor-monitoring-analysis
Detects targets such as people, vehicles, non-motorized vehicles, and pets within target areas; supports batch image analysis, suitable for outdoor surveillance scenarios like courtyards, orchards, and farms. | 户外看护智能监测分析技能,检测目标区域内的人、车、非机动车、宠物等目标,支持批量图片分析,适用于庭院、果园、养殖场等户外区域看护场景
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