Enrich office listings with DVF, SIRENE, and BAN data and score each.
npx skills add https://github.com/ysgdepaula/x-deep-os --skill office-compare
Please help me install this Agent Skill. Skill: office-compare Source: https://github.com/ysgdepaula/x-deep-os/tree/main/.claude/skills/office-compare Command: npx skills add https://github.com/ysgdepaula/x-deep-os --skill office-compare
Enrich office listings by cross-referencing public data sources (DVF, SIRENE, BAN) to score opportunities and identify the best deals.
/office-search returns a list of offices, run this skill to surface the top opportunities for due diligence.Run office-compare on the Excel file from your latest office-search to obtain enriched results and per-listing scores.
High-intent search queries and answers about installing and using this skill.
Score office opportunities by feeding listing data to a workflow that geocodes addresses via BAN, retrieves DVF price stats, checks SIRENE occupancy, and outputs a comparable score per listing to prioritize deals.
Listings are enriched using DVF for transaction price statistics, SIRENE for business occupancy data, and BAN for address geocoding, providing the context needed to generate a comparable opportunity score.
Yes, an Excel file or listing feed from an office-search workflow serves as the input, which the skill processes through geocoding, data enrichment, and scoring to deliver a final ranked output.
Address geocoding uses the BAN public dataset to map listing addresses to precise coordinates, enabling localized DVF price retrieval and SIRENE occupancy checks across multiple properties.
Automate the evaluation of multiple addresses by enriching an Excel listing feed with DVF price stats and SIRENE occupancy data, generating a comparable per-listing score to surface top opportunities for due diligence.
No external dependencies are required to run DVF and SIRENE data enrichment, as the workflow directly retrieves public price statistics and occupancy data to score office listings automatically.
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