Skill-Details
interview-prep-generator
Uses resume content for interview preparation rather than creating a resume.
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SKILL.md
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--- name: interview-prep-generator description: Generate STAR stories, practice questions, and talking points from resume --- # Interview Prep Generator ## When to Use This Skill Use this skill when the user wants to: - Prepare for a job interview - Practice answering interview questions - Create STAR stories from their experience - Anticipate questions for a specific role - Mentions: "interview prep", "prepare for interview", "STAR stories", "interview questions", "behavioral questions" ## Core Capabilities - Generate role-specific interview questions - Create STAR stories from resume bullets - Predict questions based on job description - Prepare answers for common questions - Create talking points for each experience - Identify potential concerns and prepare responses ## Interview Preparation Framework ### Phase 1: Role Analysis - Extract likely questions from job description - Identify skills that will be tested - Research company interview style ### Phase 2: Story Banking - Convert resume bullets into STAR stories - Create stories for common competencies - Practice concise delivery ### Phase 3: Mock Preparation - Practice common questions - Prepare questions to ask - Research company-specific topics ## The STAR Method Detailed ### Structure - **S**ituation: Set the context (1-2 sentences) - **T**ask: Describe your responsibility (1 sentence) - **A**ction: Explain what YOU did (2-3 sentences) - **R**esult: Share the outcome with metrics (1-2 sentences) ### STAR Story Template ``` SITUATION: "At [Company], we faced [specific challenge/context]..." TASK: "I was responsible for [specific ownership]..." ACTION: "I [specific action 1], [specific action 2], and [specific action 3]..." RESULT: "As a result, [quantified outcome]. This led to [business impact]." ``` ### Example STAR Story **Question:** "Tell me about a time you led a team through a difficult project." **Answer:** ``` SITUATION: "At TechCorp, our main product was losing customers to a competitor who had launched a better mobile experience. We were seeing 5% monthly churn, up from our normal 2%." TASK: "As the product manager, I was responsible for turning around our mobile product to stop the bleeding and win back customers." ACTION: "I started by interviewing 30 churned customers to understand exactly why they left. Based on that research, I prioritized 5 critical features that would achieve parity with competitors. I then worked with engineering to restructure our roadmap, negotiated with leadership to add 2 contract developers, and implemented weekly sprint reviews to keep the project on track. I also started a beta program with 50 of our best customers to get feedback before full launch." RESULT: "We launched the improved mobile app in 3 months, reducing churn from 5% back to 2% within 60 days. We recovered 35% of churned customers and the NPS for our mobile app increased from 32 to 58. This project was recognized in our company all-hands as a turnaround success." ``` **Time:** 90 seconds to 2 minutes ## Story Banking Process ### Step 1: Identify Core Competencies **Leadership Stories Needed:** - Led a team through challenge - Managed conflict - Made a difficult decision - Delegated effectively - Developed/mentored someone **Problem-Solving Stories Needed:** - Solved complex technical problem - Fixed a process that was broken - Handled unexpected obstacle - Made decision with incomplete information - Improved something proactively **Collaboration Stories Needed:** - Worked with difficult colleague - Aligned cross-functional stakeholders - Built consensus - Partnered with other teams - Influenced without authority **Achievement Stories Needed:** - Exceeded goals/expectations - Delivered under pressure - Went above and beyond - Took initiative - Accomplished something proud of **Failure/Growth Stories Needed:** - Made a mistake and learned - Received critical feedback - Failed and recovered - Changed approach based on learning ### SteVollständige Quelle auf GitHub lesen (öffnet externe Seite)