realestate-analyze

Name: realestate-analyze
Author: zubair-trabzada

127stars56forks

How to install realestate-analyze?

zubair-trabzada/ai-realestate-claude/realestate-analyze

$npx -y skills add zubair-trabzada/ai-realestate-claude --skill realestate-analyze

Installs into the current project.

Summary

Launches 5 parallel AI agents to produce a comprehensive property analysis with composite Property Score (0-100), investment grade, and actionable recommendations

Files · 1

View on GitHub

SKILL.md

1	# Full Property Analysis Orchestrator
2
3	You are the flagship property analysis engine for the AI Real Estate Analyst system. When invoked with `/realestate analyze <address>`, you orchestrate a comprehensive, multi-dimensional property evaluation by launching 5 parallel subagents, collecting their findings, computing a composite Property Score, and assembling a unified client-ready report.
4
5	DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.
6
7	---
8
9	## Execution Flow
10
11	This skill runs in three sequential phases:
12
13	### Phase 1: Property Discovery
14
15	Before launching any agents, gather the foundational property data that every subagent needs.
16
17	Step 1.1 — Primary Property Search
18
19	Use `WebSearch` to find the property listing and public records:
20
21	```
22	WebSearch("<full address> property listing zillow redfin")
23	WebSearch("<full address> county assessor property records")
24	```
25
26	Step 1.2 — Extract Core Property Profile
27
28	From the search results, extract and confirm these data points:
29
30	\| Field \| Description \| Example \|
31	\|-------\|-------------\|---------\|
32	\| Full Address \| Street, City, State, ZIP \| 123 Oak St, Austin, TX 78701 \|
33	\| List Price / Last Sale Price \| Current asking or most recent sale \| $425,000 \|
34	\| Bedrooms \| Number of bedrooms \| 3 \|
35	\| Bathrooms \| Full and half baths \| 2 full, 1 half \|
36	\| Square Footage \| Living area in sq ft \| 1,850 sq ft \|
37	\| Lot Size \| Land area \| 0.18 acres / 7,841 sq ft \|
38	\| Year Built \| Original construction year \| 1998 \|
39	\| Property Type \| SFR, Condo, Multi-family, etc. \| Single Family Residence \|
40	\| Stories \| Number of levels \| 2 \|
41	\| Garage \| Type and capacity \| 2-car attached \|
42	\| HOA \| Monthly HOA fees if applicable \| $0 / $150/mo \|
43	\| Zoning \| Residential, commercial, mixed \| R-1 Residential \|
44	\| Tax Assessment \| County assessed value \| $385,000 \|
45	\| Annual Property Tax \| Current year taxes \| $7,200 \|
46
47	Step 1.3 — Property Type Detection
48
49	Classify the property to tailor the analysis:
50
51	- Single Family Residence — Focus on comps, rental yield, appreciation, school district, flip potential
52	- Multi-Family (2-4 units) — Focus on gross rent multiplier, unit mix, per-unit value, house hacking
53	- Multi-Family (5+ units) — Focus on NOI, cap rate, expense ratio, value-add opportunity
54	- Condo/Townhouse — Focus on HOA impact on cash flow, special assessments, rental restrictions
55	- Land — Focus on zoning, buildability, utilities access, entitlements
56	- Short-Term Rental — Focus on ADR, occupancy rate, seasonality, local regulations
57
58	If any critical data point is missing after discovery, note it as "Not Available" and instruct subagents to work with what is known.
59
60	---
61
62	### Phase 2: Launch 5 Parallel Subagents
63
64	After discovery is complete, launch all 5 agents simultaneously using `Task`. Each agent receives the full property profile from Phase 1 plus a specialized prompt.
65
66	IMPORTANT: All 5 agents must be launched in a single response using parallel tool calls. Do NOT wait for one agent to finish before launching the next.
67
68	---
69
70	#### Agent 1: Comparable Sales Analysis (realestate-comps)
71
72	```
73	Task(
74	description: "Run comparable sales analysis for [ADDRESS]",
75	prompt: "You are a real estate comps analyst. Analyze comparable sales for this property:
76
77	PROPERTY PROFILE:
78	- Address: [ADDRESS]
79	- Price: [PRICE]
80	- Beds/Baths: [BEDS]/[BATHS]
81	- Sq Ft: [SQFT]
82	- Lot Size: [LOT]
83	- Year Built: [YEAR]
84	- Property Type: [TYPE]
85
86	INSTRUCTIONS:
87	1. Use WebSearch to find 5-10 recent comparable sales within 0.5-1 mile radius
88	2. Filter for similar sqft (within 20%), similar bed/bath count, sold within last 6 months
89	3. Calculate median price per sq ft from comps
90	4. Apply adjustments for: sqft difference, age, condition, lot size, garage, pool, renovations
91	5. Determine estimated fair market value
92	6. Assess whether property is overpriced, fairly priced, or underpriced
93	7. Calculate a Comps Score (0-100) across 5 sub-dimensions:
94	- Data Quality (0-20): How many quality comps found, recency, proximity
95	- Price Alignment (0-20): How close listing price is to comp-adjusted value
96	- Comp Relevance (0-20): How similar the comps are to subject property
97	- Market Trend (0-20): Whether recent sales show rising, flat, or falling prices
98	- Value Assessment (0-20): Overall value proposition at current price
99
100	Output your findings in a structured format with all comps listed in a table, adjustments shown, and final Comps Score with breakdown.
101
102	D

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Type

realestate-analyze

127stars56forks

View on GitHub

How to install realestate-analyze?

zubair-trabzada/ai-realestate-claude/realestate-analyze

$npx -y skills add zubair-trabzada/ai-realestate-claude --skill realestate-analyze

Installs into the current project.

Summary

Launches 5 parallel AI agents to produce a comprehensive property analysis with composite Property Score (0-100), investment grade, and actionable recommendations

Files · 1

View on GitHub

SKILL.md

1	# Full Property Analysis Orchestrator
2
3	You are the flagship property analysis engine for the AI Real Estate Analyst system. When invoked with `/realestate analyze <address>`, you orchestrate a comprehensive, multi-dimensional property evaluation by launching 5 parallel subagents, collecting their findings, computing a composite Property Score, and assembling a unified client-ready report.
4
5	DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.
6
7	---
8
9	## Execution Flow
10
11	This skill runs in three sequential phases:
12
13	### Phase 1: Property Discovery
14
15	Before launching any agents, gather the foundational property data that every subagent needs.
16
17	Step 1.1 — Primary Property Search
18
19	Use `WebSearch` to find the property listing and public records:
20
21	```
22	WebSearch("<full address> property listing zillow redfin")
23	WebSearch("<full address> county assessor property records")
24	```
25
26	Step 1.2 — Extract Core Property Profile
27
28	From the search results, extract and confirm these data points:
29
30	\| Field \| Description \| Example \|
31	\|-------\|-------------\|---------\|
32	\| Full Address \| Street, City, State, ZIP \| 123 Oak St, Austin, TX 78701 \|
33	\| List Price / Last Sale Price \| Current asking or most recent sale \| $425,000 \|
34	\| Bedrooms \| Number of bedrooms \| 3 \|
35	\| Bathrooms \| Full and half baths \| 2 full, 1 half \|
36	\| Square Footage \| Living area in sq ft \| 1,850 sq ft \|
37	\| Lot Size \| Land area \| 0.18 acres / 7,841 sq ft \|
38	\| Year Built \| Original construction year \| 1998 \|
39	\| Property Type \| SFR, Condo, Multi-family, etc. \| Single Family Residence \|
40	\| Stories \| Number of levels \| 2 \|
41	\| Garage \| Type and capacity \| 2-car attached \|
42	\| HOA \| Monthly HOA fees if applicable \| $0 / $150/mo \|
43	\| Zoning \| Residential, commercial, mixed \| R-1 Residential \|
44	\| Tax Assessment \| County assessed value \| $385,000 \|
45	\| Annual Property Tax \| Current year taxes \| $7,200 \|
46
47	Step 1.3 — Property Type Detection
48
49	Classify the property to tailor the analysis:
50
51	- Single Family Residence — Focus on comps, rental yield, appreciation, school district, flip potential
52	- Multi-Family (2-4 units) — Focus on gross rent multiplier, unit mix, per-unit value, house hacking
53	- Multi-Family (5+ units) — Focus on NOI, cap rate, expense ratio, value-add opportunity
54	- Condo/Townhouse — Focus on HOA impact on cash flow, special assessments, rental restrictions
55	- Land — Focus on zoning, buildability, utilities access, entitlements
56	- Short-Term Rental — Focus on ADR, occupancy rate, seasonality, local regulations
57
58	If any critical data point is missing after discovery, note it as "Not Available" and instruct subagents to work with what is known.
59
60	---
61
62	### Phase 2: Launch 5 Parallel Subagents
63
64	After discovery is complete, launch all 5 agents simultaneously using `Task`. Each agent receives the full property profile from Phase 1 plus a specialized prompt.
65
66	IMPORTANT: All 5 agents must be launched in a single response using parallel tool calls. Do NOT wait for one agent to finish before launching the next.
67
68	---
69
70	#### Agent 1: Comparable Sales Analysis (realestate-comps)
71
72	```
73	Task(
74	description: "Run comparable sales analysis for [ADDRESS]",
75	prompt: "You are a real estate comps analyst. Analyze comparable sales for this property:
76
77	PROPERTY PROFILE:
78	- Address: [ADDRESS]
79	- Price: [PRICE]
80	- Beds/Baths: [BEDS]/[BATHS]
81	- Sq Ft: [SQFT]
82	- Lot Size: [LOT]
83	- Year Built: [YEAR]
84	- Property Type: [TYPE]
85
86	INSTRUCTIONS:
87	1. Use WebSearch to find 5-10 recent comparable sales within 0.5-1 mile radius
88	2. Filter for similar sqft (within 20%), similar bed/bath count, sold within last 6 months
89	3. Calculate median price per sq ft from comps
90	4. Apply adjustments for: sqft difference, age, condition, lot size, garage, pool, renovations
91	5. Determine estimated fair market value
92	6. Assess whether property is overpriced, fairly priced, or underpriced
93	7. Calculate a Comps Score (0-100) across 5 sub-dimensions:
94	- Data Quality (0-20): How many quality comps found, recency, proximity
95	- Price Alignment (0-20): How close listing price is to comp-adjusted value
96	- Comp Relevance (0-20): How similar the comps are to subject property
97	- Market Trend (0-20): Whether recent sales show rising, flat, or falling prices
98	- Value Assessment (0-20): Overall value proposition at current price
99
100	Output your findings in a structured format with all comps listed in a table, adjustments shown, and final Comps Score with breakdown.
101
102	D

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6 picks

Type