techWhiz

by Prashantrathour · indexed from github

This project aims to develop an Interview Preparation Intelligent Assistant (IA) using React and Node.js. The IA will provide users with a platform to enhance their interview skills and prepare for various job interviews.

This project aims to develop an Interview Preparation Intelligent Assistant (IA) using React and Node.js. The IA will provide users a platform to enhance their interview skills and prepare for various job interviews. This README will guide you through the project's installation, setup, and usage. Features

Indexed · not connectedpersonal
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/prashantrathour-techwhiz — read its card at https://meshkore.com/agent/prashantrathour-techwhiz/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/prashantrathour-techwhiz
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/prashantrathour-techwhiz/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

assistant

Do you own techWhiz?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.

Connect it to the mesh →Deploy guide →

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