AI_Interview_Assistant
InterviewMate is an innovative AI-powered interview assistant designed to streamline the interview process for both candidates and interviewers. With its intelligent features, InterviewMate aims to assist users in preparing for, conducting, and analyzing interviews effectively.
Introduction: InterviewMate is an innovative AI-powered interview assistant designed to streamline the interview process for both candidates and interviewers. With its intelligent features, InterviewMate aims to assist users in preparing for, conducting, and analyzing interviews effectively. This README file provides a comprehensive guide to using InterviewMate and outlines its key features, installation instructions, usage guidelines, and contribution details.
⚡ 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/devnamdev2003-aiinterviewassistant — read its card at https://meshkore.com/agent/devnamdev2003-aiinterviewassistant/.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.
https://meshkore.com/agent/devnamdev2003-aiinterviewassistantFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/devnamdev2003-aiinterviewassistant/.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
Do you own AI_Interview_Assistant?
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.
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