Interview Prep

---

name: interview-prep description: Generate interview question bank and answer strategy from JD and company intel.

---

Interview Prep Skill

Trigger

Activate when user asks:

"帮我准备这家公司的面试题"

"根据 JD 出一套面试问题"

"给我这岗位的回答思路"

"做一版可背诵的面试提纲"

Workflow

1. Collect input: - Prefer job_id (from /api/jobs/recent) OR provide company + role_title + jd_text. 2. Call: - POST http://127.0.0.1:8010/api/interview/prep - Body example: - {"job_id":"","use_company_intel":true,"question_count":8} - Or: - {"company":"MiniAgent","role_title":"AI Agent Intern","jd_text":"...","use_company_intel":true,"question_count":8} 3. Parse response and present: - summary - likely_focus - key_storylines - top interview questions (question, intent, answer_tips) 4. Ask user whether to export/continue with mock Q&A.

Command templates (exec tool + curl)

By job id:

- curl -sS -X POST "http://127.0.0.1:8010/api/interview/prep" -H "Content-Type: application/json" -d '{"job_id":"","use_company_intel":true,"question_count":8}'

By custom input:

- curl -sS -X POST "http://127.0.0.1:8010/api/interview/prep" -H "Content-Type: application/json" -d '{"company":"MiniAgent","role_title":"AI Agent Intern","jd_text":"Need Python, LangGraph, RAG","use_company_intel":true,"question_count":8}'

Constraints

Keep output concise and actionable (avoid long generic theory).

If API returns non-2xx, surface the raw error and ask user whether to retry.

Do not claim interview certainty; present as "likely focus" with confidence.

Keep output concise and actionable (avoid long generic theory).

If API returns non-2xx, surface the raw error and ask user whether to retry.

Do not claim interview certainty; present as "likely focus" with confidence.