preview-interview
Preview Interview
Use this skill to turn a role, resume, or job description into a focused interview-preparation package. Start from the target role and interviewer style, then produce only the practice materials that help the user perform better.
Core Workflow
- Identify the interview target.
- Extract the role, seniority, company context, and interview type.
- Infer whether the user needs recruiter screening, behavioral practice, technical depth, system design, product sense, or management questions.
- Build the interview map.
- List the skills and signals the interviewer will likely test.
- Translate the job description and resume into likely question themes.
- Separate must-cover topics from nice-to-have topics.
- Generate the prep set.
- Draft likely questions with increasing difficulty.
- Build short answer outlines before long polished answers.
- Use concrete evidence, metrics, tradeoffs, and decision points.
- Rehearse and critique.
- Run a mock interview in the same tone as the expected round.
- Score answers on clarity, relevance, specificity, and brevity.
- Rewrite weak answers with tighter structure and stronger examples.
- Close the gaps.
- Identify missing stories, thin technical depth, or unsupported claims.
- Recommend what to study, what to cut, and what to emphasize.
Deliverables
Return only the pieces that fit the request:
- A likely question bank by interview round.
- STAR or CAR answer skeletons for behavioral questions.
- A mock interview script with follow-up prompts.
- A concise critique of draft answers.
- A gap analysis between resume and job description.
- A short pre-interview checklist for the final review.
Decision Rules
- Prefer role-specific questions over generic interview lists.
- Prefer concise answer outlines before polished final wording.
- Push for evidence: metrics, scope, constraints, and outcomes.
- Flag unsupported resume claims and missing examples early.
- If the role is unclear, infer the most likely interview format from the job description and state the assumption.
Common Failure Modes
- Answers stay generic and do not show ownership.
- Stories omit numbers, scale, tradeoffs, or user impact.
- Technical answers jump to tools before clarifying requirements.
- Behavioral answers are too long and never reach the result.
- The prep set does not match the likely interview round.
References
Load interview-patterns.md for reusable frameworks, answer structures, and mock-interview templates.
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