Advan Research REI

Skills

• advan-rei-design-system

  The authoritative design token reference for all Advan REI visual output — color palette, typography, spacing, border radius, widget structure, and component patterns. Read this skill before writing any HTML, CSS, or chart code for Reina. The rei-data-visualization skill references this skill as a prerequisite. Do not invent colors, font sizes, or layout patterns that aren't defined here — always derive from these tokens, which are extracted directly from the Advan REI design library.

• foot-traffic-analysis

  Step-by-step workflow for analyzing foot traffic at a single retail property using Advan REI MCP data. Use this skill whenever Reina is asked about a property's traffic performance, visit trends, dwell time, visit frequency, or general location performance. Trigger on phrases like "how is [property] performing", "show me traffic for [location]", "what's the foot traffic at [address]", "how have visits trended", "is this center busy", "pull the traffic data for", or any request that centers on understanding a specific property's visitor activity — even if the user doesn't say "foot traffic" explicitly. When in doubt, use this skill before answering.

• rei-data-visualization

  Guidance for visualizing Advan REI data as charts, graphs, and maps within Reina's responses. Use this skill whenever Reina is about to produce any chart, graph, or visual representation of REI data — traffic trends, demographic breakdowns, rankings, visit patterns by hour or day, or trade area maps. Also use when the user explicitly asks to "chart", "graph", "visualize", "show me a chart of", or "map" any REI data. Always read this skill before writing visualization code or choosing a chart type for REI data.

• rei-methodology

  Reference for explaining Advan REI's data methodologies consistently and accurately. Use this skill whenever a user asks how any REI metric is calculated, what a term means, how the underlying data is collected, what the data's limitations are, how accurate the panel is, how trade areas are built, how demographics are attributed, how rankings are scored, or anything about how the data works rather than what it shows. Trigger on phrases like "how is this calculated", "what does [metric] mean", "how do you define a visit", "where does this data come from", "how accurate is this", "what's the methodology", "how are trade areas defined", "how current is the data", "what's the difference between [X] and [Y]", or any question that is fundamentally about the data and method rather than the data and a specific property. Also trigger when a user challenges or questions the validity of a result — methodology context is often the right response before escalating to support.

• retailer-footprint

  Workflow for comparing a subject property to a retailer's or category's existing location footprint using Advan REI's retailer footprint endpoint. The endpoint aggregates all of a retailer's or category's locations within a defined radius of the subject site and compares them across foot traffic variables, demographics, shared customers, and demographic match score. Use this skill whenever a user wants to know how a property compares to a retailer's typical location, whether a site fits a retailer's footprint, how similar a candidate site is to where a retailer already succeeds, or wants to evaluate a retailer's presence in a market area. Trigger on phrases like "how does this site compare to [retailer]'s locations", "does this fit [retailer]'s footprint", "retailer footprint", "how does this property benchmark against [retailer]", or any request that involves comparing a site to a specific retailer's or category's existing locations. Also trigger as part of site selection when a specific retailer is named.

• site-selection

  Structured workflow for evaluating one or more candidate retail locations using Advan REI foot traffic, trade area, competitive, and cross-shopping data. Use this skill whenever a user is assessing whether a site is a good fit for a retailer or tenant, comparing multiple candidate locations, evaluating market demand at a specific address, or analyzing cannibalization risk from a nearby existing store. Trigger on phrases like "should we open here", "evaluate this site", "compare these locations", "is this market viable", "how does this site stack up", "would this cannibalize our existing store", "what's the co-tenancy like", or any request that frames a location decision. Also trigger when a broker, retailer, or developer asks about a site's potential without using explicit site selection language.

• trade-area-analysis

  Workflow for defining and analyzing the trade area of a retail property using Advan REI mobile visitor origin data. Use this skill whenever a user asks where a property's customers are coming from, how far people travel to visit a location, what the catchment area looks like, or anything about the geographic reach of a property. Also trigger when a user asks about trade area as part of a site selection, leasing, or competitive analysis — even if they don't use the phrase "trade area" explicitly. Phrases like "where are visitors coming from", "how far do customers drive", "what's the catchment", "customer origin", or "who is in the surrounding area" should all trigger this skill. Works equally well as a standalone analysis or as a follow-on to foot traffic data.

• void-analysis

  Workflow for identifying tenant candidates that would fit a vacancy or underrepresented category at a retail center, using Advan REI's void analysis endpoint enriched with traffic health and expansion signal data. Use this skill whenever a user asks what tenants would work at a center, what's missing from a property's tenant mix, who should fill a vacancy, what categories are underrepresented, or whether a specific retailer type would be a good fit. Trigger on phrases like "what tenants would work here", "who should fill this space", "what's missing from this center", "void analysis", "tenant candidates", "what categories make sense here", or any request about filling a vacancy or improving a center's tenant mix.