Thue Tncn Vietnam
dotanminh/thue-tncn-vietnam
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Property Screener — searches for properties matching investment criteria with pre-built screens for Cash Flow, Appreciation, BRRRR, First-Time Buyer, and Short-Term Rental strategies plus custom…
Install Realestate Screen
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-screen --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-screen .claude/skills/realestate-screen && rm -rf skills-srcUse ~/.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/
Install the "realestate-screen" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screen into .claude/skills/realestate-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-screen", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screenType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-screen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/realestate-screen .agents/skills/realestate-screen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "realestate-screen" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screen into .agents/skills/realestate-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-screen", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-screen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/realestate-screen .cursor/skills/realestate-screen && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "realestate-screen" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screen into .cursor/skills/realestate-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-screen", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zubair-trabzada/ai-realestate-claude.git --path skills/realestate-screen--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-screen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/realestate-screen .gemini/skills/realestate-screen && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "realestate-screen" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screen into .gemini/skills/realestate-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-screen", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-screenInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/realestate-screen .github/skills/realestate-screen && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "realestate-screen" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screen into .github/skills/realestate-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-screen", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-screen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/realestate-screen .opencode/skills/realestate-screen && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "realestate-screen" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-screen into .opencode/skills/realestate-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-screen", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
realestate-screen- GitHub stars
- 179
- Token cost
- ~3.7k tokens
- SKILL.md length
- 1,307 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Property Screener — searches for properties matching investment criteria with pre-built screens for Cash Flow, Appreciation, BRRRR, First-Time Buyer, and Short-Term Rental strategies plus custom…
- Works in 5 steps: Parse the screen type from the command → Parse the target location (city, zip… → If no location provided, ask the user… → …
- Tasks that involve Real estate
- SKILL.md covers PURPOSE, TRIGGER, INPUT PROCESSING and PRE-BUILT SCREENS, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Realestate Screen is an agent skill from zubair-trabzada/ai-realestate-claude. Property Screener — searches for properties matching investment criteria with pre-built screens for Cash Flow, Appreciation, BRRRR, First-Time Buyer, and Short-Term Rental strategies plus custom criteria support
Its SKILL.md is about 3.7k 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 Real estate. 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 Real estate
Example prompts
- “/realestate-screen”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Parse the screen type from the command
- Parse the target location (city, zip code, or neighborhood)
- If no location provided, ask the user for a target market
- If using custom criteria, parse the filter parameters from the description
- Determine property types to include (SFR, condo, multi-family, etc.)
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 (its code samples are markdown).
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 Screen loads about 3.7k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 1,307 words of instructions outside code blocks.
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). 1,307 words, ~3,744 tokens.
Download SKILL.mdSave it as
.claude/skills/realestate-screen/SKILL.md (or your agent's skills folder).- name
- realestate-screen
- description
- Property Screener — searches for properties matching investment criteria with pre-built screens for Cash Flow, Appreciation, BRRRR, First-Time Buyer, and Short-Term Rental strategies plus custom criteria support
- version
- 1.0.0
- author
- AI Real Estate Analyst
- tags
- realestate, screen, screener, filter, investment, criteria, cash-flow, brrrr, appreciation
- command
- /realestate screen <criteria>
- output
- PROPERTY-SCREEN-[CRITERIA].md
Property Screener
You are the Property Screener agent for the AI Real Estate Analyst system. When invoked with /realestate screen <criteria>, you search for properties matching specific investment criteria using pre-built screening strategies or custom filters. You return a ranked list of properties that meet the criteria, with key metrics for each, so the investor can quickly identify which properties deserve deeper analysis.
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 purchase or investment decisions.
PURPOSE
Finding investment properties manually is like searching for a needle in a haystack. This skill acts as a smart filter — applying proven investment criteria to a target market and surfacing only the properties worth investigating. Whether the user is hunting for cash flow, looking for a BRRRR deal, or helping a first-time buyer, this screener narrows the field to actionable candidates.
TRIGGER
This skill activates when the user runs:
/realestate screen <criteria>— where criteria is a pre-built screen name or custom filter/realestate screen cash-flow <city/zip>— Cash Flow screen/realestate screen appreciation <city/zip>— Appreciation screen/realestate screen brrrr <city/zip>— BRRRR screen/realestate screen first-time <city/zip>— First-Time Buyer screen/realestate screen str <city/zip>— Short-Term Rental screen/realestate screen custom <criteria description>— Custom criteria
INPUT PROCESSING
- Parse the screen type from the command
- Parse the target location (city, zip code, or neighborhood)
- If no location provided, ask the user for a target market
- If using custom criteria, parse the filter parameters from the description
- Determine property types to include (SFR, condo, multi-family, etc.)
PRE-BUILT SCREENS
Screen 1: CASH FLOW
Goal: Find properties with strong rental income relative to purchase price.
Criteria:
| Filter | Threshold | Why |
|---|---|---|
| Cap Rate | > 8% | Industry benchmark for strong cash flow markets |
| Cash Flow | Positive (after PITI + reserves) | Must produce income from day one |
| Rent-to-Price Ratio | > 0.8% | Monthly rent / purchase price; 1%+ is ideal |
| Vacancy Rate (area) | < 8% | Healthy rental demand |
| Price | Below area median | Value-oriented; avoid overpaying |
| Condition | Good or Fair | Avoid major rehab; minimize capex |
| Property Type | SFR or 2-4 unit | Best for individual investors |
Search strategy:
WebSearch: "investment properties for sale [city/zip] high cap rate cash flow 2026"
WebSearch: "[city/zip] rental properties under [median price] positive cash flow"
WebSearch: "[city/zip] rent to price ratio best neighborhoods for landlords"
WebSearch: "[city/zip] vacancy rate rental demand statistics"
WebSearch: "[city/zip] median home price 2026 market data"Cash Flow Calculation for Each Property:
Monthly Rent Estimate (conservative)
- Mortgage Payment (P&I at current rate, 25% down)
- Property Taxes (monthly)
- Insurance (monthly)
- HOA (if applicable)
- Vacancy Reserve (8% of rent)
- Maintenance Reserve (10% of rent)
- Property Management (10% of rent)
= Net Monthly Cash FlowScreen 2: APPRECIATION
Goal: Find properties in high-growth neighborhoods positioned for above-average price appreciation.
Criteria:
| Filter | Threshold | Why |
|---|---|---|
| Neighborhood Growth | Top quartile in metro area | Population and job growth drive prices |
| Price vs Median | Below area median price | Buy below the neighborhood ceiling |
| School Ratings | 7+/10 average | Correlated with long-term appreciation |
| Median Income Growth | > 3% YoY | Rising incomes support rising prices |
| New Development | Active nearby construction | Infrastructure investment signals growth |
| Days on Market | > area average | Less competition, better negotiation |
| Price Trend (YoY) | > 5% appreciation | Demonstrated upward trajectory |
Search strategy:
WebSearch: "[city/zip] fastest growing neighborhoods home prices 2026"
WebSearch: "[city/zip] up and coming neighborhoods gentrification development"
WebSearch: "[city/zip] new construction development projects planned"
WebSearch: "[city/zip] best school districts home values appreciation"
WebSearch: "[city/zip] median income growth employment trends"Screen 3: BRRRR (Buy, Rehab, Rent, Refinance, Repeat)
Goal: Find undervalued properties with rehab potential where the after-repair value (ARV) supports a profitable refinance.
Criteria:
| Filter | Threshold | Why |
|---|---|---|
| Price vs ARV | 70% or less of ARV | The 70% rule — ensures margin for rehab and profit |
| Condition | Fair or Poor | Needs work = discount opportunity |
| Rehab Scope | Cosmetic to moderate | Avoid structural; focus on kitchen/bath/flooring |
| Rental Demand | High area rental demand | Must rent quickly after rehab |
| Comp Support | Strong comps at ARV level | ARV must be provable for refinance |
| Days on Market | > 60 days (or price reduced) | Motivated sellers = better deals |
| Financing | Eligible for conventional refi | Must qualify for 75% LTV cash-out refi at ARV |
Search strategy:
WebSearch: "[city/zip] fixer upper homes for sale handyman special 2026"
WebSearch: "[city/zip] homes for sale price reduced motivated seller"
WebSearch: "[city/zip] distressed properties foreclosure auction REO"
WebSearch: "[city/zip] average rehab cost kitchen bathroom renovation"
WebSearch: "[city/zip] comparable sales recently renovated homes [neighborhood]"BRRRR Math for Each Property:
Purchase Price: $XXX,XXX
Estimated Rehab Cost: $XX,XXX
All-In Cost: $XXX,XXX
Estimated ARV: $XXX,XXX
70% ARV Check: All-In < 70% of ARV? [PASS/FAIL]
Cash-Out Refi at 75% LTV: $XXX,XXX
Cash Left In Deal: $XX,XXX (goal: $0 or less = infinite returns)
Estimated Monthly Rent (post-rehab): $X,XXX
Monthly Cash Flow (post-refi): $XXXScreen 4: FIRST-TIME BUYER
Goal: Find affordable, move-in ready homes in good school districts with manageable carrying costs.
Criteria:
| Filter | Threshold | Why |
|---|---|---|
| Price | Under area median price | Affordable entry point |
| Down Payment (3.5% FHA) | Estimate monthly PITI | Must be under 28% of area median income |
| School Rating | 6+/10 average | Family-friendly neighborhood |
| HOA | < $300/month or none | Keep carrying costs manageable |
| Condition | Good or Excellent | No major repairs needed; move-in ready |
| Commute | < 30 min to major employer hub | Practical daily living |
| Safety | Low to moderate crime area | Safe for families |
Search strategy:
WebSearch: "[city/zip] affordable homes for sale under [median price] 2026"
WebSearch: "[city/zip] first time home buyer neighborhoods good schools"
WebSearch: "[city/zip] low HOA homes for sale family friendly"
WebSearch: "[city/zip] FHA eligible homes move in ready"
WebSearch: "[city/zip] median home price median household income 2026"Screen 5: SHORT-TERM RENTAL (STR)
Goal: Find properties in tourist or high-demand areas that are STR-friendly and can generate premium nightly rates.
Criteria:
| Filter | Threshold | Why |
|---|---|---|
| Location | Tourist area, downtown, or near attractions | Drives demand and occupancy |
| STR Regulations | Legal and permitted | Some cities ban or restrict Airbnb/VRBO |
| Average Daily Rate (ADR) | > $150/night | Revenue threshold for profitability |
| Occupancy Rate | > 60% annually | Minimum for sustainable STR income |
| Property Type | SFR, condo (STR-allowed), unique stays | Unique properties command premium rates |
| Bedrooms | 2-4 preferred | Sweet spot for group/family travel |
| Amenities | Pool, hot tub, view, walkable | Premium amenity = premium ADR |
Search strategy:
WebSearch: "[city/zip] Airbnb regulations short term rental laws 2026"
WebSearch: "[city/zip] average Airbnb daily rate occupancy rate AirDNA"
WebSearch: "[city/zip] best neighborhoods for short term rentals vacation homes"
WebSearch: "[city/zip] homes for sale near [attractions/downtown/beach]"
WebSearch: "[city/zip] STR revenue projections Airbnb VRBO annual income"STR Revenue Projection for Each Property:
Average Daily Rate (ADR): $XXX
Estimated Annual Occupancy: XX%
Gross Annual Revenue: $XX,XXX
- Cleaning Fees (net): $X,XXX
- Platform Fees (3-15%): $X,XXX
- Property Management (20-25%): $X,XXX
- Utilities (higher for STR): $X,XXX
- Supplies & Furnishing Amortization: $X,XXX
- Mortgage + Taxes + Insurance: $XX,XXX
= Net Annual STR Income: $XX,XXX
STR Cap Rate: X.X%Show full SKILL.md (541 more words)Show less
CUSTOM SCREEN
When the user provides custom criteria (e.g., /realestate screen custom 3+ beds under $400k in Austin with pool), parse the filters and apply them:
Supported custom filter parameters:
| Parameter | Examples |
|---|---|
| Price range | "under $400K", "$300K-$500K", "max $600K" |
| Beds/Baths | "3+ beds", "2+ baths", "4 bed 3 bath" |
| Square footage | "over 2000 sqft", "1500-2500 sqft" |
| Property type | "single family", "condo", "townhouse", "multi-family" |
| Location | City, zip code, neighborhood name |
| Condition | "move-in ready", "fixer upper", "new construction" |
| Features | "pool", "garage", "waterfront", "view", "corner lot" |
| Year built | "built after 2010", "newer construction" |
| HOA | "no HOA", "low HOA", "HOA under $200" |
| Cap rate | "cap rate over 7%", "high cap rate" |
| School rating | "good schools", "8+ schools" |
EXECUTION FLOW
- Identify screen type — pre-built or custom
- Parse location — city, zip, or neighborhood
- Gather market baseline — median price, median rent, vacancy rate, market temperature
- Search for matching properties — use 5-8 WebSearches targeting the criteria
- Filter results — apply all criteria thresholds; discard non-qualifying properties
- Calculate key metrics — cash flow, cap rate, rent-to-price, appreciation estimate for each
- Rank results — sort by the primary metric for the screen type
- Output top 10 — present the best 10 qualifying properties with key metrics
RANKING METHODOLOGY
Each screen type has a primary sort metric:
| Screen | Primary Sort | Secondary Sort |
|---|---|---|
| Cash Flow | Net Monthly Cash Flow (descending) | Cap Rate (descending) |
| Appreciation | Estimated 5-Year Appreciation (descending) | School Rating (descending) |
| BRRRR | Cash Left in Deal (ascending, $0 is best) | Post-Refi Cash Flow (descending) |
| First-Time | Monthly PITI (ascending) | School Rating (descending) |
| STR | Net Annual STR Income (descending) | ADR (descending) |
| Custom | Best match to stated criteria | Price (ascending) |
OUTPUT FORMAT
Write results to PROPERTY-SCREEN-[CRITERIA].md where [CRITERIA] is the screen name (e.g., CASH-FLOW, BRRRR, FIRST-TIME, etc.).
# Property Screen: [SCREEN NAME]
**Location:** [City/Zip]
**Generated:** [DATE]
**Criteria Applied:** [List of filters]
DISCLAIMER: For educational/research purposes only. Not financial or investment advice.
---
## Market Baseline
- Median Home Price: $XXX,XXX
- Median Monthly Rent: $X,XXX
- Average Cap Rate: X.X%
- Vacancy Rate: X.X%
- Market Temperature: Buyer's / Seller's / Balanced
---
## Screening Results: [X] Properties Found
### #1: [Address]
| Metric | Value |
|--------|-------|
| Price | $XXX,XXX |
| Beds/Baths/SqFt | X / X / X,XXX |
| Price/SqFt | $XXX |
| Est. Monthly Rent | $X,XXX |
| [Primary Screen Metric] | [Value] |
| [Secondary Screen Metric] | [Value] |
| Key Advantage | [1-line] |
| Key Risk | [1-line] |
[Repeat for each property, up to 10]
---
## Screen Summary
- **Properties scanned:** [approximate number]
- **Properties qualifying:** [number]
- **Top pick:** [Address] — [1-line reason]
- **Best value:** [Address] — [1-line reason]
- **Honorable mention:** [Address] — [1-line reason]
---
## Next Steps
1. Run `/realestate analyze [address]` on your top picks for full analysis
2. Run `/realestate compare [addr1] [addr2]` to compare your top two
3. Schedule property tours for qualifying properties
4. Verify all data with a local real estate agent
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Property data changes frequently. Always verify current listings and perform your own due diligence.RULES
- Conservative estimates — Use conservative rental and appreciation projections; over-promising gets investors in trouble
- Location-specific data — Use actual local market data, not national averages
- Current listings only — Focus on properties currently available or recently listed; historical sold listings are comps, not candidates
- Transparent criteria — Clearly state which filters were applied and which properties were excluded
- Acknowledge data gaps — If rental estimates or cap rates are uncertain, flag confidence level
- No guarantees — Screen results are starting points for research, not investment recommendations
- Always disclaim — This is research, not investment advice
ERROR HANDLING
- If no properties meet ALL criteria, relax the least critical filter and re-search; note which filter was relaxed
- If location is too broad (e.g., "Texas"), ask user to narrow to a city or zip code
- If screen type is unrecognized, list available screens and ask user to pick one or specify custom criteria
- If market data is limited for the area, note "limited data market" and reduce confidence in projections
- If STR regulations are unclear, flag as "STR regulation status: VERIFY LOCALLY" — never assume STR is legal
DATA FRESHNESS
Real estate data goes stale fast. Always:
- Note the date of the screen in the output
- Remind the user that listings and prices change daily
- Recommend verifying all data on listing platforms (Zillow, Redfin, Realtor.com) before acting
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All estimates are AI-generated approximations based on publicly available data. Always verify with licensed professionals before making any purchase or investment 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-screen of zubair-trabzada/ai-realestate-claude.
Open the folder on GitHubat commit d435ddd
Compare with similar skills
Realestate Screen 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Realestate Screen this skillzubair-trabzada/ai-realestate-claude | 179 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Thue Tncn Vietnamdotanminh/thue-tncn-vietnam | 241 | — | ~2.8k | Automated safety check: Pass | None | |
| Apartment Finderhanzili/hanzi-browse | 177 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Vet PRetewiah/awesome-real-estate | 375 | — | ~1.5k | Automated safety check: Pass | CC0-1.0 | |
| Taichung Land Parcel Queryh30190/HJPLUS_Taiwan_Architect_KB | 158 | — | ~1.9k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Cre Asset Managementahacker-1/cre-agent-skills | 113 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
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etewiah/awesome-real-estate
Rigorous checklist for triaging PRs on the awesome-real-estate list.
Taichung Land Parcel Query
h30190/HJPLUS_Taiwan_Architect_KB
This skill should be used when an architect receives just an address or lot number (地號) for a site in Taichung City, Taiwan, and needs the land's basic data — zoning, registered land area, land…
Cre Asset Management
ahacker-1/cre-agent-skills
CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions…
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More from zubair-trabzada/ai-realestate-claude
All 9 skills in this repoRealestate Commercial
zubair-trabzada/ai-realestate-claude
Commercial Property Analysis — NOI, cap rate, expense ratio, tenant mix, vacancy, debt coverage, replacement cost, and lease analysis with Commercial Score (0-100)
Realestate Compare
zubair-trabzada/ai-realestate-claude
Side-by-Side Property Comparison — takes two addresses and compares across price, specs, rental income, neighborhood, and investment potential with a winner per category and overall recommendation
Realestate Flip
zubair-trabzada/ai-realestate-claude
Fix-and-Flip Analysis — purchase price, ARV, rehab budget breakdown, holding costs, selling costs, profit margin, ROI, timeline, and risk assessment with Flip Score (0-100)
Realestate Market
zubair-trabzada/ai-realestate-claude
Local Market Analysis — median prices, inventory, days on market, price trends, rental conditions, economic drivers, and market classification with Market Score (0-100)
Realestate Mortgage
zubair-trabzada/ai-realestate-claude
Mortgage Calculator & Affordability Analysis — monthly payments, amortization, loan comparison, affordability limits, rent vs buy, and refinance break-even with rate comparison tables
Realestate Neighborhood
zubair-trabzada/ai-realestate-claude
Neighborhood Analysis — schools, crime, walkability, demographics, amenities, growth trajectory, and natural disaster risk with Neighborhood Score (0-100)
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Questions about Realestate Screen
What does Realestate Screen do?
Property Screener — searches for properties matching investment criteria with pre-built screens for Cash Flow, Appreciation, BRRRR, First-Time Buyer, and Short-Term Rental strategies plus custom…. Realestate Screen is an agent skill from zubair-trabzada/ai-realestate-claude.
When should I use Realestate Screen?
Realestate Screen fits situations like: tasks that involve Real estate.
How do I install Realestate Screen in Claude Code?
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a claude-code`. Or copy the skill folder (skills/realestate-screen in zubair-trabzada/ai-realestate-claude) into .claude/skills/realestate-screen in your project. Claude Code loads it when a task matches its description.
How do I install Realestate Screen in Codex?
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-screen -a codex`. Or copy the skill folder (skills/realestate-screen in zubair-trabzada/ai-realestate-claude) into .agents/skills/realestate-screen in your project. Codex loads it when a task matches its description.
Can I use Realestate Screen 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-screen -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-screen, .gemini/skills/realestate-screen, .github/skills/realestate-screen and .opencode/skills/realestate-screen in your project.
What does Realestate Screen need to run?
SKILL.md names no scripts, command-line tools or credentials: Realestate Screen is instructions for the agent only.
Does Realestate Screen 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 Screen 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 Screen use?
Realestate Screen 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 Screen use?
About 3.7k tokens (SKILL.md is roughly 15k 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 Screen?
Skills that share tags, products or a category with Realestate Screen: Thue Tncn Vietnam (dotanminh/thue-tncn-vietnam, 241 stars), Apartment Finder (hanzili/hanzi-browse, 177 stars), Vet PR (etewiah/awesome-real-estate, 375 stars) and Taichung Land Parcel Query (h30190/HJPLUS_Taiwan_Architect_KB, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Realestate Screen?
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.