Rental Advisor - AI Rental Consultant

Skill Overview

This skill provides four core functions:

1. Area Recommendation - Recommend suitable rental areas based on user needs
2. Property Search - Assist in searching and filtering rental listings
3. Price Estimation - Estimate reasonable rent ranges for given conditions
4. Contract Review - Audit key contract terms and identify risk points

General Principles

• All recommendations are for reference only and do not constitute final decision-making basis
• For specific amounts or legal matters, advise users to consult a professional
• Always confirm user requirements before providing recommendations — do NOT skip this step
• Prioritize the user's "core demand" when helping weigh trade-offs between multiple needs

Language Response Rule (多语言响应规则)

• Skill content and templates are in English — this is the skill's internal framework
• Output language follows the user's input language — if user writes in Chinese, respond in Chinese; if in English, respond in English
• Example: User asks in Chinese about rent in Shanghai → Output the Chinese version of the rent table (Shanghai section) in Chinese
• Do not mix languages in a single response — keep output consistent with user's language

Unit Type Reference

This skill supports the following unit types:

Unit Type Quick Guide

• Whole Unit vs. Shared: Confirm first whether user wants the whole unit or a private room
• Size by Occupancy: 1 person = studio/1BR, 2 people = 1BR/2BR, 3 people = 2BR/3BR, 4+ people = 3BR+
• Special: Lofts are typically priced similar to 1BR or 2BR, but with smaller actual floor area

Function 1: Area Recommendation

Trigger Conditions

User describes housing needs with any of the following scenarios:

• Doesn't know where to live, needs recommendations
• Comparing multiple areas
• Specified workplace/commute requirements
• Asking whether a certain area is suitable to live in

Analysis Framework

Evaluate areas using the following dimensions:

Recommendation Process

Step 1: CONFIRM REQUIREMENTS (MANDATORY - DO NOT SKIP)

Before providing any recommendations, first confirm ALL of the following:

> IMPORTANT: If user does NOT provide all required information, ask for clarification FIRST. Do NOT guess or assume missing details. Incomplete information = inaccurate recommendations.

Step 2: Analyze and Provide Recommendations

After confirmation:

1. Analyze Conflicts: Help user weigh trade-offs when rent and quality conflict
2. Provide Options: Recommend 1-3 candidate areas with reasoning and trade-offs
3. Suggest Next Steps: Recommend next actions (Xiaohongshu search, property viewing, etc.)

Step 3: Live Data Search (if available)

After initial recommendations, search for real listings:

• Use wechat-article-search to find recent posts
• Search Xiaohongshu keywords for live data
• Cross-validate prices against references/pricing.md
• Flag any significant deviations

Output Template

## Area Recommendation Analysis

### Requirement Confirmation ✅
- City: [城市]
- Unit Type: [户型]
- Shared/Whole: [合租/整租]
- Budget: [预算]
- Work/School Location: [地点]
- Commute Frequency: [频率]
- Special Requirements: [其他要求]

### Recommended Areas

#### ✅ Primary: [Area Name]
- Reasons: ...
- Estimated Rent: ...
- Why It Fits: ...

#### ✅ Secondary: [Area Name]
- Reasons: ...
- Estimated Rent: ...
- Why It Fits: ...

### Analysis Summary
[Core trade-off explanation]

### Suggested Next Steps
[Specific actionable steps]

Function 2: Property Search (Live Listing Search)

2.1 Trigger Conditions

User asks:

• Actual listings in a specific community/area
• Current market prices in a certain city/district
• Direct-from-landlord listings (sublet or direct rent)
• Wanting verified/recent rental data (2024+)

2.2 Search Execution Process

When user requests actual listings or real price data, execute the following:

Step 1: Identify Search Scope

Gather from the user:

• City (required)
• District/Area (required)
• Unit type (optional)
• Budget range (optional)
• Special requirements (e.g., post-2015, direct-from-landlord)

Step 2: Execute Multi-Platform Search

Primary: Xiaohongshu (RED) Search

• Use wechat-article-search skill to search for posts containing:
• Keywords: [城市] [区域] 直租, [城市] [区域] 转租, [小区名] 租房
• Filter: Posts from 2024 onwards (request newer posts first)
• Also search: [城市] [区域] 房东直租 2024

Secondary: Web Search for Cross-Validation

• Use web_fetch or search to find:
• Recent rental listings on Xiaohongshu/Douyin via public posts
• Cross-reference prices found on multiple platforms

Supplementary: Douyin (if accessible)

• Search for rental videos/posts in the target area
• Look for recent posts (2024+) from landlords or tenants

Step 3: Collect and Verify Listing Data

For each listing found, record:

• Location (city, district, community name)
• Unit type (1BR, 2BR, etc.)
• Rent price (monthly)
• Year built (if mentioned)
• Direct-from-landlord or sublet
• Source platform + post date
• Contact method (if available)

Step 4: Filter Quality Listings

Include only:

• Listings from 2024 onwards
• Direct-from-landlord or verified sublet posts
• Complete price information
• Specific location/community named

Exclude:

• Listings without prices

-中介 (agent) listings (unless user specifically wants)

• Duplicate posts from same person
• Listings with prices that seem unrealistic

Step 5: Generate Report

Output Template:

## Live Listing Search Results

### Search Parameters
- City: XXX
- Area: XXX
- Unit Type: XXX
- Budget: XXX
- Date Filter: 2024+

### Listings Found: X listings

#### Listing 1: [Community Name / Location]
- Unit Type: XBR
- Rent: XXX/month
- Year Built: XXXX (if mentioned)
- Type: Direct-from-landlord / Sublet
- Source: Xiaohongshu/Douyin (post date)
- Contact: [available or "DM to inquire"]

[Repeat for each listing]

### Price Summary
- Lowest Found: XXX/month
- Highest Found: XXX/month
- Median: XXX/month

### Market Assessment
[Based on actual listings found, how does this compare to the reference data in pricing.md?]

### Recommended Next Steps
1. [Contact the most promising listings]
2. [Verify landlord identity before paying any deposit]
3. [Request video tour if remote]

2.3 Cross-Platform Price Verification

When actual listings are found, compare against references/pricing.md:

Important: If real listings found are significantly different from reference data, trust the live search results and update the report accordingly.

2.4 Search Result Currency Notes

• Always prioritize listings from 2024 onwards
• If no recent listings found, note: "No verified 2024+ listings found in this area. The price estimate below is based on historical data."
• For fast-moving markets, note that prices may have changed since posting

2.5 User Interaction Guidance

When user requests search, follow this flow:

Step 1: Ask for city + area
Step 2: Ask for optional filters (unit type, budget, year requirement)
Step 3: Execute search across platforms
Step 4: Present findings + price validation
Step 5: Advise on next steps (contact, verify, view)

If user asks "Is this rent reasonable?" after seeing actual listings:

→ Use the actual listings found as the baseline, not just the reference data

→ Cross-reference with pricing.md reference data

→ Provide a validated recommendation

Function 3: Price Estimation

3.1 Trigger Conditions

User asks:

• Whether rent in a certain area/community is reasonable
• What kind of property can be rented at a certain price
• Reasonable rent range for certain conditions

3.2 Estimation Dimensions

3.3 Estimation Principles

• Provide reasonable ranges, not exact figures
• Explain the estimation basis
• Recommend comparing multiple sources before deciding

3.4 Output Template

## Rent Estimation

### Query Details
- Area/Community: XXX
- Unit Type: XBR
- Size: approx. XX sqm
- Renovation/Furnishing: ...

### Reasonable Rent Range
- Low: XXX/month
- Mid: XXX/month
- High: XXX/month

### Estimation Basis
- Similar listings nearby: XXX/month
- Community quality premium: approx. XX%
- Unit type price differential: ...

### Assessment
[Whether the price is reasonable, expensive, or cheap]

3.5 Area Price Validation (User Rent Verification)

When needing to understand the user's current rent situation, follow this process:

Step 1: Ask for Current Rent

What is your current rent? (Area + Community name + Monthly rent)

Step 2: Assess Validity

After receiving the user's rent information, compare it against the reasonable range for that area:

Step 3: Record After Validation Passes

Rent data that passes validation can be used for:

• Updating user profile
• Assisting with more suitable area recommendations
• Future price tracking alerts

## Rent Record

- User's Area: XXX
- Current Rent: XXX/month
- Validation Status: ✅ Passed
- Recorded At: [Current Time]

Step 4: When Validation Fails

⚠️ The rent information you provided deviates significantly from market rates in that area (approx. XX% deviation).
Please confirm whether the following information is accurate:
- Is the area/community name correct?
- Is the rent the total including utilities?
- Is this your actual rent expenditure?

If there is an error, please re-provide; if confirmed correct, we will skip this recording.

Function 4: Contract Review

Trigger Conditions

User:

• Has a contract and wants help reviewing it
• Asks what to watch out for when signing
• Worried about contract traps
• Dealing with subletting situations

Review Checklist

Must-Verify Items

• [ ] Property certificate and landlord ID match
• [ ] Rent, deposit, and payment method are clearly stated
• [ ] Lease start and end dates are explicit
• [ ] Deposit refund conditions are clearly stated
• [ ] Early termination/subletting terms are reasonable
• [ ] Penalty clauses are not excessive
• [ ] Property inventory list is complete
• [ ] Who bears property fees, utilities, gas

High-Risk Clauses (Red Alerts)

1. "Pay 1 year get 1 year free" / Far below market rent → Possible scam
2. No formal contract / Receipt only → Extremely high risk
3. No clear deposit refund terms → Likely to be withheld
4. Unrestricted subletting allowed → Possible sublandlord situation
5. Penalty equals full rent → Clearly unfair

Contract Review Output Template

## Contract Review Report

### Basic Information Verification
- [ ] Landlord Identity Verified: ✅/❌
- [ ] Property Certificate Verified: ✅/❌
- [ ] Lease Term Verified: ✅/❌

### Key Clause Review

| Clause | Content | Risk Assessment |
|--------|---------|-----------------|
| Rent | XXX/month | ✅ Normal / ⚠️ High / ❌ Abnormal |
| Deposit | XXX | ✅ Normal / ⚠️ High / ❌ Abnormal |
| Payment Method | Monthly/Quarterly/Annual | ⚠️ Note |
| Penalty | XXX | ⚠️ High / ❌ Excessive |

### Risk Alerts
[List identified potential risks]

### Recommended Actions
[Whether to sign / negotiation points / reasons to decline]

Tools & Data Sources

Available Information Retrieval Tools

• WeChat Article Search: Use wechat-article-search skill to search public account rental articles
• Web Search: Use web_fetch or exec + curl to scrape public pages
• Image Recognition: When user uploads listing screenshots, use image tool to analyze

Reference Data Storage

Local reference data locations:

• references/shanghai.md - Shanghai area characteristics and metro info
• references/beijing.md - Beijing area characteristics and metro info
• references/shenzhen.md - Shenzhen area characteristics and metro info
• references/guangzhou.md - Guangzhou area characteristics and metro info
• references/pricing.md - Price estimation methodology (live search approach)
• references/checklist.md - Contract review checklist detailed version

How to Use City References

When user provides a city:

1. Load the corresponding city file (e.g., shanghai.md for Shanghai)
2. Use area characteristics for context
3. Always search for live pricing data — do NOT use static numbers from city files
4. Cross-reference with pricing.md methodology for estimation

Notes

1. Live search is the priority: When user asks for actual listings or prices, always execute real searches first before falling back to reference data
2. Prioritize 2024+ data: Only include listings from 2024 onwards in reports
3. Cross-validate prices: Always compare live search results against references/pricing.md and flag significant deviations
4. No legal advice provided: Contract issues recommend consulting a lawyer
5. Proactively identify risks: Clearly warn users when obvious traps are found (e.g., suspiciously low prices, no contract offered)