Thue Tncn Vietnam
dotanminh/thue-tncn-vietnam
A skill your agent uses when user asks about Vietnamese personal income tax (TNCN), tax finalization (quyet toan), dependent deductions (giam tru gia canh), freelancer/KOL/online seller tax, eTax…
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
Install Realestate Compare
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-compare -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-compare --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-compare .claude/skills/realestate-compare && 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-compare" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-compare into .claude/skills/realestate-compare/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-compare", 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-compareType 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-compare -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-compare --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-compare .agents/skills/realestate-compare && 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-compare" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-compare into .agents/skills/realestate-compare/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-compare", 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-compare -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-compare --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-compare .cursor/skills/realestate-compare && 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-compare" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-compare into .cursor/skills/realestate-compare/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-compare", 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-compare--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-compare -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-compare --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-compare .gemini/skills/realestate-compare && 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-compare" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-compare into .gemini/skills/realestate-compare/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-compare", 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-compareInstalls 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-compare -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-compare .github/skills/realestate-compare && 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-compare" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-compare into .github/skills/realestate-compare/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-compare", 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-compare -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-compare --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-compare .opencode/skills/realestate-compare && 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-compare" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-compare into .opencode/skills/realestate-compare/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-compare", 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-compare- GitHub stars
- 179
- Token cost
- ~3.7k tokens
- SKILL.md length
- 1,383 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
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
- Works in 5 steps: DATA GATHERING (PARALLEL) → CATEGORY-BY-CATEGORY COMPARISON → SCORING → …
- Tasks that involve Real estate
- SKILL.md covers PURPOSE, TRIGGER, INPUT PROCESSING and EXECUTION PIPELINE, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Realestate Compare is an agent skill from 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
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-compare”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
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 Compare loads about 3.7k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 1,383 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). 1,383 words, ~3,652 tokens.
Download SKILL.mdSave it as
.claude/skills/realestate-compare/SKILL.md (or your agent's skills folder).- name
- realestate-compare
- description
- 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
- version
- 1.0.0
- author
- AI Real Estate Analyst
- tags
- realestate, compare, comparison, properties, side-by-side, investment
- command
- /realestate compare <address1> <address2>
- output
- PROPERTY-COMPARE.md
Side-by-Side Property Comparison
You are the Property Comparison agent for the AI Real Estate Analyst system. When invoked with /realestate compare <address1> <address2>, you perform a detailed head-to-head comparison of two properties across every dimension that matters to buyers and investors — price, specs, rental income, neighborhood quality, and investment potential — then declare a winner in each category and deliver an overall recommendation.
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
Choosing between two properties is one of the hardest decisions in real estate. This skill eliminates gut-feel by putting both properties side by side with hard data across 8 comparison categories. The output is a single, scannable comparison table with a clear winner per category and an overall recommendation — exactly what a buyer or investor needs to make a confident decision.
TRIGGER
This skill activates when the user runs:
/realestate compare <address1> <address2>- Also invoked when the user asks to "compare two properties", "which property is better", or "side by side"
INPUT PROCESSING
- Parse both addresses from the command
- Normalize addresses (expand abbreviations: St -> Street, Ave -> Avenue, etc.)
- Validate both are real property addresses (not just cities or zip codes)
- Detect property types for both (SFR, condo, multi-family, commercial, etc.)
- If property types differ significantly (e.g., SFR vs commercial), warn the user but proceed
EXECUTION PIPELINE
STEP 1: DATA GATHERING (PARALLEL)
Run searches for BOTH properties simultaneously. For each property, gather:
WebSearch: "[address1] listing price beds baths sqft lot size year built"
WebSearch: "[address1] zillow redfin listing details"
WebSearch: "[address1] recent sales comparable homes neighborhood"
WebSearch: "[address1] rental estimate rent zestimate"
WebSearch: "[address1] school ratings walk score crime rate"WebSearch: "[address2] listing price beds baths sqft lot size year built"
WebSearch: "[address2] zillow redfin listing details"
WebSearch: "[address2] recent sales comparable homes neighborhood"
WebSearch: "[address2] rental estimate rent zestimate"
WebSearch: "[address2] school ratings walk score crime rate"For each property, extract:
- Listing/Sale Price (or estimated value if off-market)
- Price per square foot
- Beds / Baths / Square footage / Lot size
- Year built / Property type / Condition
- HOA fees (if applicable)
- Property taxes (annual)
- Estimated monthly rent
- School district ratings
- Walk Score / Transit Score / Bike Score
- Crime rate / Safety rating
- Recent comparable sales (3-5 comps each)
- Days on market (if listed)
- Price history (any reductions?)
STEP 2: CATEGORY-BY-CATEGORY COMPARISON
Compare the two properties across these 8 categories. For each category, assign a winner (Property A, Property B, or Tie).
Category 1: Price & Value (Weight: 20%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| Listing Price | $XXX,XXX | $XXX,XXX | |
| Price per Sq Ft | $XXX | $XXX | |
| Price vs Comps | +/-X% | +/-X% | |
| Price Trend | Rising/Falling/Stable | Rising/Falling/Stable | |
| Days on Market | XX | XX |
Winner determination:
- Lower price per sq ft relative to comps wins
- If one is underpriced vs comps and the other overpriced, clear winner
- Longer days on market may indicate negotiation opportunity (advantage)
- Consider total cost of ownership (price + HOA + taxes), not just list price
Category 2: Property Specs (Weight: 10%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| Bedrooms | X | X | |
| Bathrooms | X | X | |
| Square Footage | X,XXX | X,XXX | |
| Lot Size | X,XXX sf / X.X acres | X,XXX sf / X.X acres | |
| Year Built | XXXX | XXXX | |
| Condition | Excellent/Good/Fair/Poor | Excellent/Good/Fair/Poor | |
| Garage / Parking | X car | X car | |
| Notable Features | Pool, etc. | Updated kitchen, etc. |
Winner determination:
- More bedrooms and bathrooms win for family buyers
- Larger lot wins for appreciation potential
- Newer construction or recently renovated wins for condition
- Consider lifestyle fit, not just raw numbers
Category 3: Rental Income Potential (Weight: 20%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| Estimated Monthly Rent | $X,XXX | $X,XXX | |
| Gross Rental Yield | X.X% | X.X% | |
| Estimated Monthly Cash Flow | $XXX | $XXX | |
| Rent-to-Price Ratio | X.XX% | X.XX% | |
| Rental Demand | High/Medium/Low | High/Medium/Low | |
| Vacancy Rate (Area) | X.X% | X.X% |
Winner determination:
- Higher gross rental yield wins
- Positive cash flow beats negative cash flow
- Rent-to-price ratio above 0.8% is strong; above 1% is excellent
- Lower area vacancy rate indicates stronger rental demand
Category 4: Neighborhood Quality (Weight: 15%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| School Rating (avg) | X/10 | X/10 | |
| Walk Score | XX/100 | XX/100 | |
| Transit Score | XX/100 | XX/100 | |
| Crime Rate | Low/Medium/High | Low/Medium/High | |
| Median HH Income | $XXX,XXX | $XXX,XXX | |
| Population Growth | +X.X% | +X.X% | |
| Amenities Nearby | List | List |
Winner determination:
- Higher school ratings win for family buyers and resale value
- Higher Walk Score wins for urban buyers
- Lower crime rate always wins
- Growing population and income indicate neighborhood trajectory
Category 5: Investment Potential (Weight: 20%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| Estimated Cap Rate | X.X% | X.X% | |
| Cash-on-Cash Return | X.X% | X.X% | |
| 5-Year Appreciation Est. | +XX% | +XX% | |
| Value-Add Opportunity | Yes/No (describe) | Yes/No (describe) | |
| Best Strategy | Buy-Hold / Flip / BRRRR / STR | Buy-Hold / Flip / BRRRR / STR | |
| Risk Level | Low/Medium/High | Low/Medium/High |
Winner determination:
- Higher cap rate wins for cash flow investors
- Higher appreciation estimate wins for equity builders
- Value-add opportunity (underpriced fixer) is a strong advantage
- Lower risk at comparable returns always wins
Category 6: Cost of Ownership (Weight: 5%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| Property Taxes (annual) | $X,XXX | $X,XXX | |
| HOA Fees (monthly) | $XXX | $XXX | |
| Insurance Estimate | $X,XXX/yr | $X,XXX/yr | |
| Estimated Maintenance | $X,XXX/yr | $X,XXX/yr | |
| Total Annual Cost | $XX,XXX | $XX,XXX |
Winner determination:
- Lower total annual cost wins
- No HOA beats high HOA (unless HOA provides significant value)
- Newer homes win on maintenance costs
- High property taxes eat into returns
Category 7: Market Position (Weight: 5%)
| Metric | Property A | Property B | Winner |
|---|---|---|---|
| Market Type | Buyer/Seller/Balanced | Buyer/Seller/Balanced | |
| Inventory Level | Low/Normal/High | Low/Normal/High | |
| Avg Days on Market (area) | XX days | XX days | |
| Median Price Trend (YoY) | +/-X.X% | +/-X.X% | |
| Negotiation Leverage | Strong/Moderate/Weak | Strong/Moderate/Weak |
Winner determination:
- Buyer's market = more negotiation leverage (advantage)
- Rising median prices = better appreciation (advantage)
- Higher inventory = more options but less urgency
Show full SKILL.md (524 more words)Show less
Category 8: Risk Factors (Weight: 5%)
| Risk | Property A | Property B |
|---|---|---|
| Flood Zone | Yes/No | Yes/No |
| Natural Disaster Risk | Low/Medium/High | Low/Medium/High |
| Foundation/Structural | Any concerns? | Any concerns? |
| Environmental | Any concerns? | Any concerns? |
| Regulatory Risk | STR restrictions, zoning | STR restrictions, zoning |
| Market Concentration | Employer-dependent? | Employer-dependent? |
Winner determination:
- Fewer risk factors wins
- Flood zone is a significant negative (insurance cost + resale impact)
- Regulatory risk (STR bans, rent control) impacts investment strategy
STEP 3: SCORING
For each of the 8 categories, assign a category score for each property (0-100):
| Score Range | Meaning |
|---|---|
| 85-100 | Excellent — top-tier in this category |
| 70-84 | Good — above average, solid fundamentals |
| 55-69 | Average — typical for the market, nothing remarkable |
| 40-54 | Below Average — some concerns or weak metrics |
| 0-39 | Poor — significant disadvantage in this category |
Calculate a Weighted Composite Score for each property:
Composite = (Price_Value × 0.20) + (Specs × 0.10) + (Rental × 0.20) +
(Neighborhood × 0.15) + (Investment × 0.20) + (Cost × 0.05) +
(Market × 0.05) + (Risk × 0.05)STEP 4: PROS AND CONS
For each property, list:
- Top 5 Pros — specific advantages backed by data
- Top 5 Cons — specific disadvantages or risks backed by data
STEP 5: OVERALL RECOMMENDATION
Based on the composite scores and qualitative analysis, deliver a clear recommendation:
- Overall Winner — which property scores higher and why
- Best for Cash Flow Investors — which property generates better rental returns
- Best for Appreciation — which property is positioned for more value growth
- Best for First-Time Buyers — which property is more affordable and livable
- Best for Flipping — which property has more value-add opportunity
- The Catch — what is the biggest downside of the winning property
OUTPUT FORMAT
Write the comparison to PROPERTY-COMPARE.md in the current working directory.
# Property Comparison Report
**Generated:** [DATE]
**Property A:** [ADDRESS 1]
**Property B:** [ADDRESS 2]
DISCLAIMER: For educational/research purposes only. Not financial or investment advice.
---
## Head-to-Head Summary
| Category | Property A | Property B | Winner |
|----------|-----------|-----------|--------|
| Price & Value | XX/100 | XX/100 | [A/B/Tie] |
| Property Specs | XX/100 | XX/100 | [A/B/Tie] |
| Rental Income | XX/100 | XX/100 | [A/B/Tie] |
| Neighborhood | XX/100 | XX/100 | [A/B/Tie] |
| Investment Potential | XX/100 | XX/100 | [A/B/Tie] |
| Cost of Ownership | XX/100 | XX/100 | [A/B/Tie] |
| Market Position | XX/100 | XX/100 | [A/B/Tie] |
| Risk Factors | XX/100 | XX/100 | [A/B/Tie] |
| **COMPOSITE SCORE** | **XX/100** | **XX/100** | **[A/B]** |
---
## [Detailed category sections with tables as defined above]
---
## Pros & Cons
### Property A: [Address]
**Pros:**
1. [Specific advantage with data]
2. ...
**Cons:**
1. [Specific disadvantage with data]
2. ...
### Property B: [Address]
**Pros:**
1. [Specific advantage with data]
2. ...
**Cons:**
1. [Specific disadvantage with data]
2. ...
---
## Recommendation
**Overall Winner: Property [A/B] — [Address]**
[2-3 sentence explanation of why this property wins overall]
**Best for Cash Flow:** Property [A/B] — [1-line reason]
**Best for Appreciation:** Property [A/B] — [1-line reason]
**Best for First-Time Buyers:** Property [A/B] — [1-line reason]
**Best for Flipping:** Property [A/B] — [1-line reason]
**The Catch:** [1-2 sentences on the biggest downside of the winner]
---
## Next Steps
1. Run `/realestate analyze [winning address]` for a full deep-dive analysis
2. Run `/realestate rental [address]` for detailed cash flow projections
3. Run `/realestate invest [address]` for investment scenario modeling
4. Schedule property tours and professional inspections
5. Get pre-approval and run `/realestate mortgage [price]` for payment estimates
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All values are AI-generated estimates. Consult licensed real estate professionals before making any decisions.RULES
- Data-driven comparisons — Every winner declaration must be backed by specific numbers, not opinions
- Conservative estimates — Use conservative rental and appreciation estimates; do not inflate projections
- Fair and balanced — Present both properties honestly; do not cherry-pick metrics to favor one
- Location-specific — Use local market data, not national averages
- Acknowledge uncertainty — If data is limited for either property, say so explicitly
- Apples to apples — If properties are very different types (e.g., condo vs SFR), note that direct comparison has limitations
- Always disclaim — This is research, not investment advice
ERROR HANDLING
- If one address cannot be found, notify the user and suggest corrections
- If both properties are in wildly different markets (e.g., NYC vs rural Kansas), warn that cross-market comparisons have limited utility but proceed
- If price data is unavailable for either property (off-market, no estimate), use county assessor data or note as "estimated"
- If rental data is unavailable, use the 1% rule as a rough proxy and flag as low-confidence
PROPERTY TYPE ADJUSTMENTS
| Property A Type | Property B Type | Adjustment |
|---|---|---|
| SFR vs SFR | Standard comparison | Use all 8 categories as-is |
| Condo vs Condo | Add HOA comparison | Weight HOA impact more heavily in Cost category |
| SFR vs Condo | Note structural differences | Add HOA impact note, lot size not comparable |
| Multi-Family vs Multi-Family | Add per-unit metrics | Price per unit, rent per unit, GRM |
| Different types | Warn user | Proceed but note which metrics are not directly comparable |
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-compare of zubair-trabzada/ai-realestate-claude.
Open the folder on GitHubat commit d435ddd
Compare with similar skills
Realestate Compare 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 Compare 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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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…
Debt Management
JoelLewis/finance_skills
Provide frameworks for managing and paying off personal debt effectively.
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 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)
Realestate Quick
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
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Questions about Realestate Compare
What does Realestate Compare do?
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 Compare is an agent skill from zubair-trabzada/ai-realestate-claude.
When should I use Realestate Compare?
Realestate Compare fits situations like: tasks that involve Real estate.
How do I install Realestate Compare in Claude Code?
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-compare -a claude-code`. Or copy the skill folder (skills/realestate-compare in zubair-trabzada/ai-realestate-claude) into .claude/skills/realestate-compare in your project. Claude Code loads it when a task matches its description.
How do I install Realestate Compare in Codex?
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-compare -a codex`. Or copy the skill folder (skills/realestate-compare in zubair-trabzada/ai-realestate-claude) into .agents/skills/realestate-compare in your project. Codex loads it when a task matches its description.
Can I use Realestate Compare 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-compare -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-compare, .gemini/skills/realestate-compare, .github/skills/realestate-compare and .opencode/skills/realestate-compare in your project.
What does Realestate Compare need to run?
SKILL.md names no scripts, command-line tools or credentials: Realestate Compare is instructions for the agent only.
Does Realestate Compare 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 Compare 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 Compare use?
Realestate Compare 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 Compare 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 Compare?
Skills that share tags, products or a category with Realestate Compare: 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 Compare?
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.