Resolve people and devices by name using Find Hub web data with fallbacks.
npx skills add https://github.com/gevrey/openclaw_backup --skill findhub-proximity
Please help me install this Agent Skill. Skill: findhub-proximity Source: https://github.com/gevrey/openclaw_backup/tree/main/skills/findhub-proximity Command: npx skills add https://github.com/gevrey/openclaw_backup --skill findhub-proximity
Resolve people/devices/trackers by name using Find Hub web data with fallbacks, and compute proximity/distance to support location lookups and near/far decisions.
Ask the AI to locate a person named "Alex" and tell me whether they are near me.
High-intent search queries and answers about installing and using this skill.
Locate people and devices by name by querying Find Hub web data to unify location records, calculate distance, and return clear near or far proximity labels with confidence notes.
Calculate proximity for team members by querying unified location sources by name, which applies fallbacks to resolve entities and returns distance measurements with source provenance and freshness enforcement.
Yes, use geolocation data to coordinate nearby field actions by resolving the locations of field devices or team members and computing proximity to support location lookups and near or far decisions.
Yes, Find Hub proximity lookup enforces source provenance and freshness checks, ensuring that the location data used for distance calculations and proximity decisions remains reliable and dynamically updated.
When a person or device cannot be resolved through Find Hub web data, the lookup applies fallbacks to unify location data, while still returning proximity labels with confidence notes to indicate data reliability.
To start a location lookup, you only need the name of the person or device you want to locate, and the system will resolve the entity using Find Hub web data with fallbacks to gauge proximity.
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