sg-property-analyst
OfficialMaster Singapore property market insights.
Data & Analytics#property#data-interpretation#singapore#ura#bedroom-classification#market-segmentation
Authorsgpropertyanalytics
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Interpretive gaps in Singapore property data arise from inconsistent regional classifications, bedroom size norms, URA quirks, and evolving sale-tenure rules, leading to misinterpretation and KPI errors.
Core Features & Use Cases
- Regional segmentation guidance using CCR, RCR, OCR with district mappings to ensure consistent market analyses across projects.
- Bedroom sizing interpretation applying the three-tier system for new sale and resale transactions.
- URA data rules awareness, including canonical timeframe resolutions and exclusive date bounds for queries.
- Decision support for deal rating and risk assessment with domain context when comparing units or districts.
Quick Start
Ask this skill to apply Singapore property market rules when interpreting your transaction dataset.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sg-property-analyst Download link: https://github.com/sgpropertyanalytics/sg-property-analytics/archive/main.zip#sg-property-analyst Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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