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interview-coachlisted

Generate likely interview questions and strong answers from the user's real STAR bank, using hiring-side rubrics inverted to reveal what interviewers actually score. On demand.
HimadriTrying/ai-job-search-agent · ★ 1 · AI & Automation · score 68
Install: claude install-skill HimadriTrying/ai-job-search-agent
# interview-coach ## The differentiated idea — hiring-side inversion Install and read Lenny's **hiring-side** skills and reason from the interviewer's seat: - `evaluating-candidates` → what a hiring manager literally scores → invert to prepare - `conducting-interviews` → the interviewer's playbook → anticipate structure and probes - (`writing-job-descriptions` via `company-research`) → what the JD is really anxious about The distinctive move here: feed the coach the *hiring-side* skills — how interviewers evaluate candidates, structure loops, and write the JD — so it prepares you from the interviewer's seat. You walk in already holding the hiring manager's own playbook. ## Inputs `profile/07-interview-prep.md` (STAR bank), `company-research` output, the JD. ## Output - Likely questions for THIS role and level (Staff/Group probes: vision, influence without authority, systems thinking, trade-offs, an owned failure, AI depth). - For each: which of the user's *real* STAR stories answers it, and how to frame it. - Gaps: probes with no strong story yet → flag for more prep (don't fabricate one).