Search WhatsApp, Gmail, iMessage, and Apple Contacts for unified contact identities.
npx skills add https://github.com/73ai/openbotkit --skill contacts-search
Please help me install this Agent Skill. Skill: contacts-search Source: https://github.com/73ai/openbotkit/tree/main/skills/contacts-search Command: npx skills add https://github.com/73ai/openbotkit --skill contacts-search
Finding a person’s contact information across multiple sources can be slow and error-prone when switching between apps.
Ask your assistant to search for a contact named 'David' across WhatsApp, Gmail, iMessage, and Apple Contacts using obk contacts search.
High-intent search queries and answers about installing and using this skill.
Unified contact search aggregates identities across WhatsApp, Gmail, iMessage, and Apple Contacts. It retrieves a person's phone numbers, emails, and messaging IDs into a single consolidated record using cross-source deduplication.
Cross-source contact deduplication merges duplicate entries found across WhatsApp, Gmail, iMessage, and Apple Contacts. It aggregates matching phone numbers, emails, and messaging identifiers to present one coherent contact identity instead of fragmented records.
Yes, searching contacts across Apple Contacts and Gmail displays interaction counts and recent activity. This helps prioritize outreach by showing interaction data alongside the aggregated phone numbers, emails, and messaging identifiers.
Yes, unified contacts search locates a person's email and phone number across different messaging apps. It queries WhatsApp, Gmail, iMessage, and Apple Contacts to retrieve and verify identities for outreach or messaging.
Missing contacts during cross-source search often indicates the local index needs refreshing. The search relies on local synchronization of contacts to keep the index up to date across WhatsApp, iMessage, Gmail, and Apple Contacts.
The best way to find messaging identifiers across connected accounts is a unified contact search. It queries sources like WhatsApp, Gmail, iMessage, and Apple Contacts, applying cross-source deduplication to present a single, coherent contact record.
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