Vérificateur d'ambiance de quartier
PROAnalyse si un quartier est vraiment dangereux ou juste 'l'air rude' et trouve les rues sûres avec la vérification des statistiques de criminalité.
Exemple d'Utilisation
Ce quartier est-il sûr pour y habiter ?
Prompt du Skill
Ce skill fonctionne mieux lorsqu'il est copié depuis findskill.ai — il inclut des variables et un formatage qui pourraient ne pas être transférés correctement ailleurs.
Comment Utiliser Ce Skill
1
Copier le skill avec le bouton ci-dessus
2
Coller dans votre assistant IA (Claude, ChatGPT, etc.)
3
Remplissez vos informations ci-dessous (optionnel) et copiez pour inclure avec votre prompt
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Envoyez et commencez à discuter avec votre IA
Personnalisation Suggérée
| Description | Par défaut | Votre Valeur |
|---|---|---|
| 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 | équilibré | |
| Which data sources to prioritize: official, comprehensive, community_sourced, or all | tous |
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.
Sources de Recherche
Ce skill a été créé à partir de recherches provenant de ces sources fiables :
- 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