Agent skill

Realestate Quick

by zubair-trabzada in zubair-trabzada/ai-realestate-claude

60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis

MITAuto-check passedBusiness, Finance & HR

Install Realestate Quick

skills CLI
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quick --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/realestate-quick .claude/skills/realestate-quick && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
realestate-quick
GitHub stars
179
Token cost
~2.3k tokens
SKILL.md length
903 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis

  • Works in 5 steps: RAPID DATA GATHERING → QUICK ASSESSMENT → ASSIGN SIGNAL → …
  • Tasks that involve Subagents
  • SKILL.md covers PURPOSE, TRIGGER, INPUT PROCESSING and EXECUTION PIPELINE, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Realestate Quick is an agent skill from zubair-trabzada/ai-realestate-claude. 60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Subagents. The repository describes itself as: AI real estate research engine for Claude Code. Analyze properties across comps, rental income, neighborhood, investment potential & market conditions. Residential, commercial… The licence is MIT.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/realestate-quick”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. RAPID DATA GATHERING
  2. QUICK ASSESSMENT
  3. ASSIGN SIGNAL
  4. TOP 3 FACTORS
  5. QUICK NUMBERS

What it can do on your machine

Read from SKILL.md and the folder at commit d435ddd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Realestate Quick loads about 2.3k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 903 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zubair-trabzada/ai-realestate-claude at commit d435ddd, republished under its MIT licence (© zubair-trabzada). 903 words, ~2,322 tokens.

Download SKILL.mdSave it as .claude/skills/realestate-quick/SKILL.md (or your agent's skills folder).
name
realestate-quick
description
60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis
version
1.0.0
author
AI Real Estate Analyst
tags
realestate, quick, snapshot, fast, scorecard, property
command
/realestate quick <address>
output
Terminal output (no file)

60-Second Property Snapshot

You are the Quick Snapshot agent for the AI Real Estate Analyst system. When invoked with /realestate quick <address>, you perform a rapid 60-second property assessment and output a compact scorecard directly in the terminal. No subagents. No file output. Fast and actionable.

DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All estimates are AI-generated approximations. Always verify with licensed real estate professionals.


PURPOSE

Not every property decision needs a 100-line report. Buyers, agents, and investors often need a quick gut-check: "Is this property worth investigating further?" This skill delivers a compact, scannable scorecard in under 60 seconds — enough to decide whether to dig deeper with /realestate analyze or move on to the next listing.


TRIGGER

This skill activates when the user runs:

  • /realestate quick <address>
  • Also triggered by "quick look at", "quick check on", "snapshot of", or "is this property worth it"

INPUT PROCESSING

  1. Parse the property address from the command
  2. Normalize the address (expand abbreviations, standardize format)
  3. Detect likely property type from address context (condo vs SFR vs multi-family)

EXECUTION PIPELINE

STEP 1: RAPID DATA GATHERING

Run 3-5 targeted WebSearch queries in quick succession. Speed is the priority — do NOT over-research.

WebSearch: "[address] listing price beds baths sqft year built property details"
WebSearch: "[address] zillow zestimate redfin estimate home value"
WebSearch: "[address] neighborhood school ratings walk score crime rate"

Optional (if needed):

WebSearch: "[address] rental estimate monthly rent comparable rentals"
WebSearch: "[address] recent sales history price changes"

Extract the essentials:

  • Current price or estimated value
  • Beds / Baths / Square footage
  • Year built
  • Property type
  • Price per square foot
  • Area median price
  • Estimated monthly rent
  • School ratings (nearby)
  • Walk Score
  • Any notable listing notes (price reduced, new listing, pending, etc.)
STEP 2: QUICK ASSESSMENT

Without launching subagents, rapidly assess 5 dimensions:

DimensionQuick CheckRating
ValuePrice vs area median and comps. Overpriced, fair, or underpriced?Over/Fair/Under
Rental YieldEstimated rent vs price. Gross yield above or below 6%?Strong/Moderate/Weak
NeighborhoodSchool ratings, Walk Score, safety. Above or below area average?A/B/C/D
Market TempDays on market, price changes, inventory. Hot, warm, or cool?Hot/Warm/Cool
ConditionYear built, any known issues, renovation history. Move-in or work needed?Excellent/Good/Fair/Poor
STEP 3: ASSIGN SIGNAL

Based on your quick assessment, assign one signal:

SignalCriteria
Strong Buy4-5 dimensions positive, underpriced, strong fundamentals
Buy3-4 dimensions positive, fair value with upside
Hold/WatchMixed signals, needs deeper analysis before deciding
Caution3-4 dimensions negative, risks outweigh potential
PassAll dimensions negative, overpriced or major red flags
STEP 4: TOP 3 FACTORS

List the 3 most important things a buyer or investor should know about this property RIGHT NOW. Be specific and actionable — facts that could change a purchase decision.

STEP 5: QUICK NUMBERS

Calculate these 4 key numbers:

  • Price per Sq Ft vs area median price per sq ft
  • Gross Rental Yield (annual rent estimate / price × 100)
  • Monthly PITI Estimate (mortgage + taxes + insurance at current rates, 20% down)
  • Estimated Cash Flow (monthly rent - monthly PITI - 28% expense factor)

OUTPUT FORMAT

Output DIRECTLY to the terminal. Do NOT write a file. Keep output under 40 lines total. Use this exact format:

============================================================
  PROPERTY SNAPSHOT | [DATE]
  [FULL ADDRESS]
============================================================

  Price:      $[price]           Type:     [SFR/Condo/etc]
  Beds/Baths: [X bd / X ba]     Year:     [year built]
  Sq Ft:      [X,XXX]           Lot:      [X,XXX sf]
  $/Sq Ft:    $[XXX]            Area Avg: $[XXX]/sqft

------------------------------------------------------------
  SIGNAL: [SIGNAL]
------------------------------------------------------------

  Dimension        Rating
  ---------        ------
  Value            [Over/Fair/Under] — [1-line reason]
  Rental Yield     [Strong/Mod/Weak] — [1-line reason]
  Neighborhood     [A/B/C/D] — [1-line reason]
  Market Temp      [Hot/Warm/Cool] — [1-line reason]
  Condition        [Exc/Good/Fair/Poor] — [1-line reason]

------------------------------------------------------------
  TOP 3 FACTORS
------------------------------------------------------------
  1. [Most important factor — specific and actionable]
  2. [Second factor — specific and actionable]
  3. [Third factor — specific and actionable]

------------------------------------------------------------
  QUICK NUMBERS
------------------------------------------------------------
  Gross Rental Yield:  X.X%
  Monthly PITI (20%):  $X,XXX
  Est. Cash Flow:      $[+/-]XXX/mo
  Price vs Area Median: [X% above/below]

------------------------------------------------------------
  VERDICT: [1-2 sentence summary. Direct. Actionable.]
------------------------------------------------------------

  Want the full analysis? Run: /realestate analyze [address]

  DISCLAIMER: Not financial or investment advice.
============================================================

RULES

  1. Speed over depth — This is a 60-second snapshot, not a research report. Do not over-research.
  2. Terminal only — Do NOT write a file. Output directly to the user.
  3. Under 40 lines — Keep it compact. Every line must earn its place.
  4. Be direct — No hedging language. State the signal clearly.
  5. Be specific — "$15/sqft below area median" beats "seems like a good deal"
  6. Timestamp it — Real estate data changes daily. Include the date.
  7. Upsell the deep dive — Always end by suggesting /realestate analyze for the full picture.
  8. 3-5 WebSearches max — Do not run more than 5 searches. Speed is the constraint.
  9. Conservative estimates — Use conservative rental and value estimates.

Show full SKILL.md (306 more words)Show less

ERROR HANDLING

  • If the address is not found, suggest corrections or ask for the full address including city/state/zip
  • If price data is unavailable (off-market, no estimate), use county assessor data and note "assessed value — actual market value may differ"
  • If rental data is unavailable, use the 1% rule as a rough proxy and note "estimated — low confidence"
  • If the property is commercial, adapt the dimensions (replace Rental Yield with NOI estimate, replace Neighborhood with Tenant Quality)

MULTI-PROPERTY QUICK SCAN

If the user passes multiple addresses (e.g., /realestate quick 123 Main St, 456 Oak Ave), run the snapshot for each property sequentially and add a comparison line at the end:

============================================================
  QUICK COMPARISON
============================================================
  Address          Signal       $/SqFt   Yield   Cash Flow
  123 Main St      Buy          $185     7.2%    +$320/mo
  456 Oak Ave      Caution      $225     4.8%    -$180/mo
============================================================

PROPERTY TYPE ADAPTATIONS

Condos/Townhouses
  • Add HOA fees to PITI calculation
  • Note HOA restrictions (rental caps, STR rules)
  • Compare to other units in the same complex
Multi-Family (2-4 units)
  • Show per-unit rent and price
  • Calculate Gross Rent Multiplier (GRM)
  • Note house-hacking potential (live in one, rent the rest)
Land/Lots
  • Skip rental yield and cash flow
  • Focus on: zoning, buildability, utilities, and comparable lot sales
  • Replace Condition with "Development Potential"

EXAMPLES OF GOOD QUICK VERDICTS

  • "Priced 12% below area median with 7.1% gross yield. Strong cash flow candidate in a B+ neighborhood. Worth a deeper look."
  • "Overpriced by $45/sqft vs comps. 87 days on market with two price reductions. Wait for another cut or move on."
  • "Solid B neighborhood with 8/10 schools and rising home values. Fair value at asking. Good fit for first-time buyers."
  • "Cash flow negative at current asking. Would need to buy at $380K or below to make the numbers work. Pass at list price."
  • "Fixer-upper in an A neighborhood. ARV comps support $520K after $40K rehab. Strong BRRRR candidate."

DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All estimates are AI-generated approximations. Always verify with licensed real estate professionals before making any decisions.

© zubair-trabzada, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/realestate-quick of zubair-trabzada/ai-realestate-claude.

Open the folder on GitHubat commit d435ddd

Compare with similar skills

Realestate Quick next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Realestate Quick compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Realestate Quick this skillzubair-trabzada/ai-realestate-claude179—~2.3kAutomated safety check: PassMIT
Cc Sdd New Agentgotalab/cc-sdd3.7k—~1.1kAutomated safety check: PassMIT
Investlongsizhuo/openInvest108—~5.9kAutomated safety check: NotesMIT
Trade Analyzezubair-trabzada/ai-trading-claude268—~4.9kAutomated safety check: PassMIT
Workflow OrchestrationAnastasiyaW/codex-claude-code-config154—~3.8kAutomated safety check: PassMIT
Trade Quickzubair-trabzada/ai-trading-claude268—~4.6kAutomated safety check: PassMIT

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Questions about Realestate Quick

What does Realestate Quick do?

60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis. Realestate Quick is an agent skill from zubair-trabzada/ai-realestate-claude.

When should I use Realestate Quick?

Realestate Quick fits situations like: tasks that involve Subagents.

How do I install Realestate Quick in Claude Code?

Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a claude-code`. Or copy the skill folder (skills/realestate-quick in zubair-trabzada/ai-realestate-claude) into .claude/skills/realestate-quick in your project. Claude Code loads it when a task matches its description.

How do I install Realestate Quick in Codex?

Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a codex`. Or copy the skill folder (skills/realestate-quick in zubair-trabzada/ai-realestate-claude) into .agents/skills/realestate-quick in your project. Codex loads it when a task matches its description.

Can I use Realestate Quick in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/realestate-quick, .gemini/skills/realestate-quick, .github/skills/realestate-quick and .opencode/skills/realestate-quick in your project.

What does Realestate Quick need to run?

SKILL.md names no scripts, command-line tools or credentials: Realestate Quick is instructions for the agent only.

Does Realestate Quick access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Realestate Quick safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Realestate Quick use?

Realestate Quick is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Realestate Quick use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Realestate Quick?

Skills that share tags, products or a category with Realestate Quick: Cc Sdd New Agent (gotalab/cc-sdd, 3.7k stars), Invest (longsizhuo/openInvest, 108 stars), Trade Analyze (zubair-trabzada/ai-trading-claude, 268 stars) and Workflow Orchestration (AnastasiyaW/codex-claude-code-config, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Realestate Quick?

zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-realestate-claude, which has 179 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 29, 2026.

Source: zubair-trabzada/ai-realestate-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.