Verificador de Ambiente del Vecindario
PROAnaliza si un barrio es genuinamente peligroso o solo 'rudo' y en ascenso combinando datos de crimen, indicadores de gentrificación, tendencias demográficas y señales de desarrollo.
Ejemplo de Uso
Estoy mirando un piso en Lavapiés. Hay gente que dice que es peligroso y otros que mola. ¿Cómo evalúo si es un buen barrio para mí?
Prompt del Skill
Este skill funciona mejor cuando lo copias desde findskill.ai — incluye variables y formato que podrían no transferirse correctamente desde otros sitios.
Cómo Usar Este Skill
1
Copiar el skill usando el botón de arriba
2
Pegar en tu asistente de IA (Claude, ChatGPT, etc.)
3
Completa tus datos abajo (opcional) y copia para incluir con tu prompt
4
Envía y comienza a chatear con tu IA
Personalización Sugerida
| Descripción | Por defecto | Tu Valor |
|---|---|---|
| Geographic unit for analysis: address, neighborhood, census_tract, zip_code, or custom_radius | census_tract | |
| Historical lookback period (1-10 years) for trend analysis | 3 | |
| Comparison context: local (city/metro), regional, national, or peer_neighborhoods | local | |
| Importance weighting of safety (0.0-1.0) in overall neighborhood score | 0.3 | |
| Emphasis for 'up and coming' detection: early_signals, momentum, late_stage, balanced, or investment | balanced | |
| Which data sources to prioritize: official, comprehensive, community_sourced, or all | all |
Analyze whether a neighborhood is genuinely dangerous or simply “rough-looking” and up-and-coming by combining crime statistics, gentrification indicators, demographic trends, and development signals to provide data-driven safety assessments and investment timing analysis.
Fuentes de Investigación
Este skill fue creado usando investigación de estas fuentes autorizadas:
- FBI Crime Data Explorer & NIBRS Official source for US crime data at jurisdiction level; UCR program provides standardized crime reporting across agencies
- American Community Survey (Census Bureau) Demographic data at tract and block group levels including income, education, population density, and housing affordability metrics
- Walk Score Methodology & API Walkability calculation using proximity to amenities; includes transit score and bike score methodologies
- CrimeMapping.com - Community Crime Map Real-time crime mapping platform with law enforcement data, alerts, and community safety tools
- OpenStreetMap & Overpass API Query POI data (schools, parks, amenities) at scale for neighborhood amenity analysis and accessibility assessment
- SparkMap Community Assessment Tool Step-by-step methodology for community assessment using demographics and GIS mapping
- Google Street View for Neighborhood Assessment Research methodology for virtual neighborhood assessment using Street View observations
- Validation of Walk Score for Neighborhood Walkability Peer-reviewed validation of Walk Score against GIS indicators and street connectivity metrics