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Tencent SkillHub · Data Analysis

Property Valuation

Estimate property values using comps, income approach, and market analysis with adjustment calculations.

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High Signal

Estimate property values using comps, income approach, and market analysis with adjustment calculations.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, memory-template.md, setup.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Setup

On first use, read setup.md for onboarding guidance.

When to Use

User needs property value estimates. Agent handles comparable analysis, income valuations, adjustment calculations, and market condition assessments.

Architecture

Memory at ~/property-valuation/. See memory-template.md for structure. ~/property-valuation/ ├── memory.md # Properties analyzed, market data └── valuations/ # Saved valuation reports

Quick Reference

TopicFileSetup processsetup.mdMemory templatememory-template.md

1. Always State the Valuation Method

Every estimate must specify which approach: Comparable Sales (Comps): Based on recent similar sales Income Approach: Based on rental income (Cap Rate) Cost Approach: Land value + construction cost - depreciation Most residential uses comps. Investment properties need income approach.

2. Require Key Property Data

Before estimating, gather: Location (address or neighborhood) Property type (SFH, condo, multi-family) Size (sqft or sqm) Bedrooms/bathrooms Condition (excellent/good/fair/poor) Year built Lot size (if applicable) Missing data = wider value range.

3. Apply Adjustments Explicitly

When using comps, show adjustments: FactorAdjustmentExtra bedroom+3-5%Extra bathroom+2-3%Newer by 10 years+5-10%Superior condition+5-15%Larger lot+1-3% per 1000 sqftBetter location+5-20%Pool+2-5% (climate dependent) Document each adjustment applied.

4. State Confidence Level

Every valuation includes confidence: High: 3+ recent comps within 0.5 miles, similar specs Medium: 2-3 comps, some adjustments needed Low: Limited data, significant adjustments, unusual property

5. Include Market Context

Current market conditions affect value: Seller's market: Values at high end of range Buyer's market: Values at low end Balanced: Use midpoint Note days on market and inventory levels if known.

6. Cap Rate for Investment Properties

Income approach formula: Property Value = Net Operating Income / Cap Rate NOI = Gross Rent - Operating Expenses (typically 35-45% of rent) Cap rates by property type (2024 averages): Multifamily: 5-7% Retail: 6-8% Office: 7-9% Industrial: 5-7% Lower cap rate = higher value = lower risk.

7. Price Per Square Foot as Sanity Check

Always calculate and compare: Price/SqFt = Property Value / Living Area If result differs significantly from neighborhood average, explain why.

Common Traps

Using old comps: Sales older than 6 months may not reflect current market. Prefer recent sales. Ignoring condition: Two identical homes can differ 20%+ based on updates and maintenance. Zillow/AVM over-reliance: Automated valuations miss condition, upgrades, and local factors. Use as starting point only. Not adjusting for differences: Raw comps without adjustments mislead. Always adjust. Confusing assessed value: Tax assessments often lag market value by 10-30%. Ignoring days on market: Homes that sat long may have sold below market.

Security & Privacy

Data that stays local: Property details and valuations in ~/property-valuation/ No data sent externally This skill does NOT: Access real-time MLS data (user must provide comps) Connect to Zillow/Redfin APIs Store sensitive financial information

Related Skills

Install with clawhub install <slug> if user confirms: real-estate-skill — Real estate transactions financial-literacy — Financial concepts house — Home management

Feedback

If useful: clawhub star property-valuation Stay updated: clawhub sync

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs
  • SKILL.md Primary doc
  • memory-template.md Docs
  • setup.md Docs