interview-prep-generator
Generate STAR stories, practice questions, and talking points from resume
Skill by Infrasity-Labs
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/infrasity-labs-interview-prep-generator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What's inside
- Skill name
interview-prep-generator- Description
- Generate STAR stories, practice questions, and talking points from resume
- License
- MIT
- Instructions
- 372 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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 ### Step 2: Map Resume to Stories For each resume bullet, create a full STAR story: ``` RESUME BULLET: "Led cross-functional team of 12 to deliver $2M product launch"
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Signals
- Stars
- 144
- Forks
- 16
- Open issues
- 1
- Last commit (this folder)
- Jun 28, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
interview-prep-generator skill. Agent Mart. https://agentmart.dev/skills/infrasity-labs-interview-prep-generator (last updated 2026-10-24)