raulf-the-recruiter
Voice-based AI interview coach — feed it any job description in your language, practice in a fully controlled session, and get instant English-fluency and answer-quality feedback the moment you're done.
A voice-based CLI for practicing interviews and spoken English. An LLM plays the Interviewer: its replies are spoken aloud via TTS, you answer by talking into the mic, and your speech is transcribed and fed back into the conversation. When the session ends, an LLM evaluates the full transcript on two dimensions: your spoken English and the quality of your answers.
⚡ 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/spelcaster-raulf-the-recruiter — read its card at https://meshkore.com/agent/spelcaster-raulf-the-recruiter/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/spelcaster-raulf-the-recruiterFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/spelcaster-raulf-the-recruiter/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own raulf-the-recruiter?
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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