Implement a chat system with threads and ad snapshots for SIMA.
npx skills add https://github.com/RosenGray/sima --skill sima-chat
Please help me install this Agent Skill. Skill: sima-chat Source: https://github.com/RosenGray/sima/tree/main/.cursor/skills/sima-chat Command: npx skills add https://github.com/RosenGray/sima --skill sima-chat
This Skill provides a complete in-app chat/messaging system for SIMA, enabling buyers and sellers to discuss ads, organize conversations, and coordinate actions without leaving the app.
Start by calling getOrCreateChat from an ad detail page when the user taps "Message Seller" and navigate to the resulting chat view.
High-intent search queries and answers about installing and using this skill.
To add in-app chat for marketplace ads, implement a messaging system with conversation threads tied to specific ads. This provides bidirectional messaging, ad snapshots, and UI integration so buyers and sellers can discuss price and coordinate actions without leaving the app.
To create a chat thread tied to a specific ad, use a deterministic getOrCreateChat workflow from the ad detail page. This maintains a single conversation per ad between two users using indexed data structures, ensuring no duplicate threads are created.
Polling-based chat UI updates work by periodically querying the backend for new messages and conversation changes. The frontend chat client continuously checks for updates to refresh the chat list and active chat views, displaying new messages and read status without requiring a persistent websocket connection.
Yes, you can use MongoDB to store conversation threads and messages for multiple entity types like cars, pets-for-sale, and real-estate. The system maintains Conversation and Message models in MongoDB, supporting various ad categories with ad snapshots and last-seen info.
The best way to ensure one conversation per ad between two users is to enforce a deterministic getOrCreateChat workflow using indexed data structures. This approach prevents duplicate chat threads by checking for existing conversations before creating a new one.
Yes, the frontend chat client includes both a chat list and a detail view with ad context snapshots. The UI integration provides a comprehensive messaging experience, displaying conversation threads alongside the original ad information for reference during buyer-seller discussions.
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