agentsclimarketplace

Market comp analysis

Skill Fusion-Data-Company/bristol-os/plugins/bristol-os/skills/market-comp-analysis

One-paste Claude setup that turns Claude into an institutional multifamily research & underwriting teammate for Bristol Development Group — zero-config, fully cited, self-evolving (V1→V2→V3).

Install
npx -y skills add Fusion-Data-Company/bristol-os --skill market-comp-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Pull rent comps, occupancy, supply pipeline, absorption, and cap-rate trends for a submarket, then build a market study. Use when the user asks for "comps," "rent comps," "market study," "what are rents doing," "cap rates," "what's the competition," or needs the market picture behind a deal.

SKILL.md

2.5 KB, as published. Nobody here has run it

Market & Comp Analysis

Build the market picture behind a deal: what rents are achievable, what's competing, where the market is heading.

When to use

"Pull comps for [submarket]," "build me a market study," "what are rents/cap rates doing in [market]," "who are the competitive properties near [site]?"

Inputs

  • Subject property/site location and product type.
  • Unit mix if known (studio/1BR/2BR/3BR), target rent band if any.
  • Radius or named submarket for the comp set.

What to assemble (cite sources + dates)

  1. Comparable set — 4–8 competing communities: name, location, year built, units, unit mix, current asking rents (by unit type and per SF), concessions, occupancy. Note the source for each.
  2. Rent trend — direction and rate of rent growth over the last 1–3 years for the submarket.
  3. Occupancy / vacancy — current and trend.
  4. Supply pipeline — units under construction and planned nearby; expected delivery timing; absorption pace. Call out oversupply risk explicitly.
  5. Cap-rate & sales trend — recent multifamily sales/cap rates in the market if available; direction of movement.
  6. Concessions & lease-up reads — what new deliveries are offering to lease up.

Tools

  • Yardi Matrix connector if connected — best for rents, comps, pipeline, ownership.
  • Otherwise built-in web search / Tavily / Exa: pull from property marketing sites, market reports (CBRE/JLL/Cushman/Marcus & Millichap), census/BLS, local news on new developments.
  • The user can also paste CoStar/RealPage exports — fold those in and cite them as Bristol-provided.

Output

  • Market study using bristol-os/templates/market-study.md, saved to the deal folder.
  • Comp table (clean, sortable): community, rents by type, $/SF, occupancy, vintage, distance.
  • Read on achievable rent for the subject + the supply risk verdict.
  • Bottom line: is the market supportive of this deal's rent and absorption assumptions?

Accuracy

  • Every comp and number gets a source + date. If a rent is an estimate, label it.
  • Don't average across non-comparable product — note when comps are imperfect.
  • Distinguish asking rents (advertised) from effective rents (after concessions) and say which you used.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.