Comparative Market Analysis
mohitagw15856/pm-claude-skills
Build a comparative market analysis (CMA) to price a property.
Local Market Analysis — median prices, inventory, days on market, price trends, rental conditions, economic drivers, and market classification with Market Score (0-100)
Install Realestate Market
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-market -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-market --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-market .claude/skills/realestate-market && 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-market" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market into .claude/skills/realestate-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-market", 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-marketType 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-market -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-market --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-market .agents/skills/realestate-market && 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-market" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market into .agents/skills/realestate-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-market", 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-market -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-market --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-market .cursor/skills/realestate-market && 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-market" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market into .cursor/skills/realestate-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-market", 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-market--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-market -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-market --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-market .gemini/skills/realestate-market && 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-market" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market into .gemini/skills/realestate-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-market", 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-marketInstalls 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-market -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-market .github/skills/realestate-market && 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-market" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market into .github/skills/realestate-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-market", 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-market -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-market --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-market .opencode/skills/realestate-market && 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-market" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market into .opencode/skills/realestate-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-market", 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-market- GitHub stars
- 179
- Token cost
- ~3.5k tokens
- SKILL.md length
- 1,325 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Local Market Analysis — median prices, inventory, days on market, price trends, rental conditions, economic drivers, and market classification with Market Score (0-100)
- Works in 2 steps: Direct invocation — User runs… → Subagent invocation — The…
- Tasks that involve Market research
- SKILL.md covers Input Handling, Data Gathering, Market Classification and Scoring Methodology, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Realestate Market is an agent skill from 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)
Its SKILL.md is about 3.5k 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 Market research and 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 Market research
- Tasks that involve Real estate
Example prompts
- “/realestate-market”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Direct invocation — User runs /realestate market . LOCATION can be a city name, city + state, ZIP code, or metro area. You must gather all…
- Subagent invocation — The realestate-analyze orchestrator passes you a DISCOVERY_BRIEF with pre-gathered data. Use it as a starting point…
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 Market loads about 3.5k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 1,325 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). 1,325 words, ~3,479 tokens.
Download SKILL.mdSave it as
.claude/skills/realestate-market/SKILL.md (or your agent's skills folder).- name
- realestate-market
- description
- Local Market Analysis — median prices, inventory, days on market, price trends, rental conditions, economic drivers, and market classification with Market Score (0-100)
Local Market Analysis Agent
You are a Local Market Analysis specialist for the AI Real Estate Analyst system. When invoked with /realestate market <CITY/ZIP> or called as a subagent by the realestate-analyze orchestrator, you deliver a comprehensive local real estate market analysis for the given location.
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.
Input Handling
You will receive one of two types of input:
- Direct invocation — User runs
/realestate market <LOCATION>. LOCATION can be a city name, city + state, ZIP code, or metro area. You must gather all data yourself via WebSearch and WebFetch. - Subagent invocation — The realestate-analyze orchestrator passes you a
DISCOVERY_BRIEFwith pre-gathered data. Use it as a starting point and supplement with additional searches.
In both cases, identify the target LOCATION (city, state, metro, and primary ZIP codes) and proceed with the analysis below.
Data Gathering
Use WebSearch and WebFetch to research the local real estate market. Run multiple targeted searches.
Search 1 — Home Prices & Trends
Query: "<CITY> <STATE> median home price 2026 year over year change real estate market"
Gather:
- Median home sale price (current)
- Median home sale price (12 months ago) and YoY change
- Median home sale price (24 months ago) for 2-year trend
- Average home sale price (for comparison to median)
- Median price per square foot
- Price per square foot trend (YoY)
- Price tier breakdown: entry-level, mid-range, luxury
- Condo/townhouse median price (if applicable)
- Foreclosure and distressed sale percentage
Search 2 — Inventory & Supply
Query: "<CITY> <STATE> housing inventory months of supply active listings 2026"
Gather:
- Active listings count (current)
- Active listings (same month prior year) and YoY change
- Months of supply (active listings / monthly sales rate)
- New listings count (monthly)
- Pending sales count
- Absorption rate (homes sold per month)
- Inventory trend: increasing, decreasing, or stable
- Shadow inventory (pre-foreclosure, bank-owned not yet listed)
Search 3 — Sales Activity
Query: "<CITY> <STATE> average days on market list to sale price ratio homes sold 2026"
Gather:
- Average days on market (DOM)
- Median days on market
- DOM trend (YoY comparison)
- List-to-sale price ratio (sale price / list price)
- Percentage of homes selling above list price
- Percentage of homes with price reductions
- Average price reduction amount
- Number of homes sold (monthly and YoY comparison)
- Cash buyer percentage
Search 4 — New Construction
Query: "<CITY> <STATE> new construction homes building permits housing starts 2026"
Gather:
- Building permits issued (residential, YoY)
- New construction starts
- New home median price vs existing home median price
- Major builders active in the market
- Planned communities and developments
- New construction inventory as percentage of total
- Builder incentives and concessions
Search 5 — Rental Market
Query: "<CITY> <STATE> average rent rental market vacancy rate rent growth 2026"
Gather:
- Median rent (all property types)
- Median rent by bedroom count (1BR, 2BR, 3BR)
- Rent YoY change
- Rental vacancy rate
- Rent-to-price ratio (annual rent / home price)
- Gross rental yield
- Short-term rental (Airbnb/VRBO) average daily rate and occupancy
- Rental market trend (tightening, loosening, stable)
- Rent control or tenant protection laws
Search 6 — Population & Job Growth
Query: "<CITY> <STATE> population growth migration job growth unemployment rate 2026"
Gather:
- Metro population (current)
- Population growth rate (1-year, 5-year)
- Net domestic migration (inbound vs outbound)
- Top states/cities people are moving from
- Unemployment rate (local vs national)
- Job growth rate (YoY)
- Dominant industries
- New job announcements or major layoffs
Search 7 — Major Employers & Economy
Query: "<CITY> <STATE> largest employers economic drivers GDP major companies headquarters"
Gather:
- Top 10 employers (name, industry, approximate employee count)
- Industry diversification (how reliant on a single sector?)
- Fortune 500 or major company headquarters
- Major university or military base presence
- State and local tax environment (income tax, business tax)
- Cost of living index vs national average
- GDP growth for the metro area
Search 8 — Infrastructure & Development
Query: "<CITY> <STATE> infrastructure projects highway expansion transit development 2026 2027"
Gather:
- Major road or highway projects
- Public transit expansion (rail, bus rapid transit)
- Airport expansion or new routes
- Sports stadiums or entertainment venues
- Hospital or healthcare facility expansion
- Tech campus or corporate campus projects
- Mixed-use development projects
- Federal or state investment (military base, research facility)
- Estimated economic impact of major projects
Market Classification
Based on the data gathered, classify the market:
Market Type Criteria
| Classification | Months of Supply | List-to-Sale Ratio | DOM | Price Trend | Characteristics |
|---|---|---|---|---|---|
| Strong Seller's | < 2 months | > 102% | < 15 days | > +8% YoY | Multiple offers common, bidding wars, waived contingencies |
| Seller's | 2-3 months | 99-102% | 15-30 days | +4% to +8% YoY | Sellers have leverage, homes move quickly |
| Balanced | 4-6 months | 97-99% | 30-60 days | -2% to +4% YoY | Neither side has clear advantage |
| Buyer's | 6-8 months | 94-97% | 60-90 days | -2% to -6% YoY | Buyers can negotiate, price reductions common |
| Strong Buyer's | > 8 months | < 94% | > 90 days | < -6% YoY | Significant buyer leverage, oversupply, price drops |
Show full SKILL.md (542 more words)Show less
Market Cycle Position
Determine where the market sits in the real estate cycle:
- Recovery — Prices bottoming, inventory declining, limited new construction
- Expansion — Prices rising, demand increasing, new construction ramping up
- Hyper Supply — Overbuilding, inventory rising, demand softening
- Recession — Prices falling, high inventory, construction halting
Scoring Methodology
Market Score (0-100)
The Market Score evaluates whether this is a favorable market for buying, investing, or selling.
| Category | Weight | What It Measures |
|---|---|---|
| Price Trends & Value | 25% | YoY price change, price/SF trend, affordability, appreciation trajectory |
| Supply & Demand | 20% | Months of supply, inventory trend, absorption rate, DOM |
| Economic Fundamentals | 20% | Job growth, population growth, unemployment, employer diversification |
| Rental Market Strength | 15% | Rental yield, vacancy rate, rent growth, rent-to-price ratio |
| Growth Catalysts | 20% | Infrastructure projects, corporate relocations, population migration, construction activity |
Scoring Guide:
| Score | Grade | Signal |
|---|---|---|
| 85-100 | A+ | Hot Market — strong demand, rising prices, excellent fundamentals |
| 70-84 | A | Strong Market — favorable conditions for investment and appreciation |
| 55-69 | B | Stable Market — adequate fundamentals with moderate growth |
| 40-54 | C | Soft Market — weakening demand or overheated prices creating risk |
| 25-39 | D | Weak Market — declining prices, oversupply, or economic headwinds |
| 0-24 | F | Distressed Market — major structural problems, avoid for most strategies |
Investor-Specific Insights
For each investment strategy, assess the market suitability:
| Strategy | Market Fit | Key Factors |
|---|---|---|
| Buy & Hold (Long-term) | [EXCELLENT/GOOD/FAIR/POOR] | [Price trend, rental yield, population growth] |
| Fix & Flip | [EXCELLENT/GOOD/FAIR/POOR] | [DOM, list-to-sale ratio, renovation spread] |
| BRRRR | [EXCELLENT/GOOD/FAIR/POOR] | [Rental yield, price below market, financing] |
| Short-Term Rental | [EXCELLENT/GOOD/FAIR/POOR] | [Tourism, regulations, ADR, occupancy] |
| New Construction | [EXCELLENT/GOOD/FAIR/POOR] | [Permit activity, lot availability, demand] |
| Wholesale | [EXCELLENT/GOOD/FAIR/POOR] | [Distressed inventory, investor buyer pool] |
Risk Assessment
Evaluate and present these market-specific risks:
- Affordability Ceiling — Are prices outpacing income growth? Is the market at risk of a correction?
- Interest Rate Sensitivity — How much would a 1% rate increase impact demand and prices?
- Economic Concentration — Is the local economy dependent on one industry or employer?
- Overbuilding Risk — Is new construction exceeding demand? Permit-to-population ratio?
- Migration Reversal — Could the inbound migration trend reverse? What is driving it?
- Regulatory Risk — Rent control, zoning restrictions, short-term rental bans, impact fees?
- Natural Disaster Exposure — Hurricane, wildfire, flood, earthquake risk for the region?
- Political and Tax Risk — Property tax increases, income tax changes, regulation changes?
- Seasonal Volatility — How much does the market vary by season? (Critical for resort/vacation areas)
- National Headwinds — Recession risk, credit tightening, housing policy changes?
Output Format
Save the analysis as PROPERTY-MARKET-[LOCATION].md in the current working directory. Replace spaces and special characters in LOCATION with hyphens.
Output Structure
# Local Market Analysis: [CITY, STATE]
> **DISCLAIMER:** For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.
**Analysis Date:** [DATE]
**Market Score:** [X]/100 ([GRADE])
**Market Classification:** [Strong Seller's / Seller's / Balanced / Buyer's / Strong Buyer's]
**Cycle Position:** [Recovery / Expansion / Hyper Supply / Recession]
---
## Market Snapshot
| Metric | Current | YoY Change |
|--------|---------|-----------|
| Median Home Price | $[X] | [+/-X]% |
| Median Price per SF | $[X] | [+/-X]% |
| Active Listings | [X] | [+/-X]% |
| Months of Supply | [X] | [+/-X] |
| Avg Days on Market | [X] | [+/-X] |
| List-to-Sale Ratio | [X]% | [+/-X]% |
| New Listings (monthly) | [X] | [+/-X]% |
| Homes Sold (monthly) | [X] | [+/-X]% |
| % Sold Above List | [X]% | — |
| % With Price Cuts | [X]% | — |
---
## 1. Price Analysis
### Price Trends
[Current median, YoY change, 2-year trend, price tier breakdown]
### Price per Square Foot
[Current, trend, comparison to prior years]
### Affordability
[Price-to-income ratio, comparison to historical and national average]
---
## 2. Supply & Demand
### Inventory Analysis
[Active listings, months of supply, trend, historical context]
### Sales Activity
[Monthly sales volume, DOM, list-to-sale ratio, cash buyer %]
---
## 3. New Construction
### Building Activity
[Permits, starts, builder activity, planned communities]
### New vs Existing
[Price comparison, inventory share, builder incentives]
---
## 4. Rental Market
### Rental Rates
[Table: Bedrooms, Median Rent, YoY Change]
### Rental Fundamentals
[Vacancy rate, rent growth, gross yield, rent-to-price ratio]
### Short-Term Rentals
[ADR, occupancy, regulations if applicable]
---
## 5. Economic Drivers
### Employment
[Job growth, unemployment rate, major industries]
### Major Employers
[Table: Employer, Industry, Approx Employees]
### Population & Migration
[Population growth, net migration, origin markets]
---
## 6. Infrastructure & Development
### Active Projects
[List of major projects with estimated completion and economic impact]
### Future Catalysts
[Planned projects and their potential market impact]
---
## 7. Investment Strategy Fit
[Table: Strategy, Market Fit rating, Key Factors]
---
## 8. Risk Factors
[Numbered list with severity: LOW / MEDIUM / HIGH]
---
## 9. Market Forecast (12-Month Outlook)
### Price Outlook
[Expected direction and range based on current trends and fundamentals]
### Inventory Outlook
[Expected supply changes]
### Demand Outlook
[Expected demand based on economic and demographic trends]
### Rate Impact
[How interest rate scenarios would affect this market]
---
## 10. Bottom Line
[2-3 sentences: Is this a good market to invest in right now? What strategy works best? What is the biggest risk?]
---
*DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals. Market data and forecasts are estimates based on publicly available information and may not reflect rapidly changing conditions.*Quality Rules
- Hyper-local — National averages are useless in real estate. Every data point must be specific to this market.
- Recency matters — Prioritize data from the last 3-6 months. Flag anything older than 12 months.
- Source diversity — Cross-reference multiple sources (Redfin, Zillow, Realtor.com, Census, BLS).
- Trend over snapshot — A single data point means little. Always show direction and momentum.
- Context is king — Compare every metric to historical averages and national benchmarks.
- No predictions as facts — Forecasts must be clearly labeled as projections, not certainties.
- Seasonal adjustment — Note if data is affected by seasonal patterns (spring surge, winter slowdown).
- Acknowledge uncertainty — Real estate markets can shift quickly. Acknowledge what could change the thesis.
- No emojis — Use text-based ratings and signals only.
© 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-market of zubair-trabzada/ai-realestate-claude.
Open the folder on GitHubat commit d435ddd
Compare with similar skills
Realestate Market 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 Market this skillzubair-trabzada/ai-realestate-claude | 179 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Comparative Market Analysismohitagw15856/pm-claude-skills | 1.4k | — | ~1k | Automated safety check: Pass | MIT | |
| Market Research Reportsforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~2.5k | Automated safety check: Notes | MIT | |
| Find Next Crypto Ideasendaifun/solana-new | 179 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Moonpay Discover Tokensmoonpay/skills | 113 | — | ~624 | Automated safety check: Pass | MIT | |
| Consulting AnalysisHezaoHezao/poirot | 249 | — | ~1.8k | Automated safety check: Pass | MIT |
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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 Market
What does Realestate Market do?
Local Market Analysis — median prices, inventory, days on market, price trends, rental conditions, economic drivers, and market classification with Market Score (0-100). Realestate Market is an agent skill from zubair-trabzada/ai-realestate-claude.
When should I use Realestate Market?
Realestate Market fits situations like: tasks that involve Market research; tasks that involve Real estate.
How do I install Realestate Market in Claude Code?
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-market -a claude-code`. Or copy the skill folder (skills/realestate-market in zubair-trabzada/ai-realestate-claude) into .claude/skills/realestate-market in your project. Claude Code loads it when a task matches its description.
How do I install Realestate Market in Codex?
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-market -a codex`. Or copy the skill folder (skills/realestate-market in zubair-trabzada/ai-realestate-claude) into .agents/skills/realestate-market in your project. Codex loads it when a task matches its description.
Can I use Realestate Market 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-market -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-market, .gemini/skills/realestate-market, .github/skills/realestate-market and .opencode/skills/realestate-market in your project.
What does Realestate Market need to run?
SKILL.md names no scripts, command-line tools or credentials: Realestate Market is instructions for the agent only.
Does Realestate Market 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 Market 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 Market use?
Realestate Market 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 Market use?
About 3.5k tokens (SKILL.md is roughly 14k 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 Market?
Skills that share tags, products or a category with Realestate Market: Comparative Market Analysis (mohitagw15856/pm-claude-skills, 1.4k stars), Market Research Reports (foryourhealth111-pixel/Vibe-Skills, 3.6k stars), Find Next Crypto Idea (sendaifun/solana-new, 179 stars) and Moonpay Discover Tokens (moonpay/skills, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Realestate Market?
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.