Support Participants in Winroom for UKI

## Description
Provide technical support to network participants in the **Winroom for UKI** by assisting with Beckn ONIX setup, Becknifying existing applications, discussing schema and tags, and debugging issues. The developer will actively participate in calls to guide participants through technical challenges and ensure smooth implementation.

## Goals

1. Assist network participants with **Beckn ONIX setup issues**
2. Provide guidance on **Becknifying existing applications**
3. Discuss **schema and tags** based on the implementation guide
4. Debug and resolve technical issues reported by participants
5. Ensure smooth onboarding and integration of participants into the Beckn network

## Expected Outcome
Network participants receive real-time support, enabling them to **successfully integrate with Beckn ONIX, adapt their applications, and troubleshoot issues effectively**. The initiative ensures a seamless experience for participants adopting the Beckn protocol.

## Acceptance Criteria
- Participants receive guidance on ONIX setup and successfully complete the integration
- Support is provided for Becknifying applications as per the implementation guide
- Schema and tags are discussed and clarified for participants
- Reported issues are debugged and resolved efficiently
- Documentation and follow-up actions are maintained for future references

## Mockups / Wireframes
NA

## Product Name
Beckn

## Domain
TBD

## Tech Skills Needed
Beckn ONIX, API Integration, Debugging, Backend Development, Schema Validation, Technical Support

## Complexity
Medium to High

## Category
Developer Support

## Sub Category
Network Participant Assistance

Start by reviewing the Beckn ONIX implementation guide and the stated setup, Becknification, schema, and tag requirements. Coordinate participant support through the technical calls, and consider the work done when participants integrate successfully, reported issues are resolved, and follow-up documentation is maintained.

Written by the indexing model from the issue text.