Jaxon1216

Jaxon1216 / interview-analyzer-skill

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Generate project-based guidance and interview Q&A docs with STAR speaking scripts. 基于真实项目生成导学与面经（含第一人称 STAR 法则口播答案）

agent-skill career claudecode codex cursor
12
2
100% credibility
Found Apr 26, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

This repository is a skill installer for AI coding assistants that generates customized Markdown study guides and interview preparation documents from a user's codebase.

How It Works

1
🔍 Discover interview prep magic

You find a helpful tool that turns your coding projects into easy study guides and interview talking points.

2
📥 Add to your coding helper

You easily bring this skill into your smart coding assistant so it's ready to use anywhere.

3
📂 Open your project

You go to the folder of the project you built and want to talk about in interviews.

4
💬 Share project details

You tell your assistant a quick note about your project's name, what it does, tech used, and your job goal.

5
✨ Get custom docs created

Your assistant reads your code and makes two files right there: a learning path with highlights and interview questions with full answers.

🎉 Ace your interviews

Now you have personal study notes and confident answers to practice, making you ready to shine in job talks.

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AI-Generated Review

What is interview-analyzer-skill?

This shell script deploys an AI agent skill across 15+ coding platforms like Cursor, Copilot, and Claude Code. Trigger it in your project with a short prompt—like project name, description, tech stack, and job focus—and it generates two Markdown docs at the root: a study guide with highlights, reading paths, and checklists, plus interview Q&A with 15-25 questions and first-person STAR speaking scripts. Solves the pain of manually distilling real codebases into defensible interview stories.

Why is it gaining traction?

One-command install handles user/project levels, auto-detects platforms, and even symlinks for universal access—no config hell. Outputs are resume-ready: guidance docs map repo structures, while Q&A scripts clock 150+ words per answer with full STAR structure. Devs dig the project-based analyzer focus over generic prep tools.

Who should use this?

Mid-level engineers prepping interviews from GitHub repos, like those building generate GitHub personal access token flows, SSH key generators for Linux deploys, or PAT scripts for IntelliJ. Backend devs turning CI/CD projects (deploy keys, avatars, profile pics) into STAR ammo; frontend folks analyzing Vue/Pinia stacks for system design Q&A.

Verdict

Solid niche skill at 12 stars and 1.0% credibility—mature docs and cross-platform shell installer outweigh low traction. Clone and install if interview grinding; skip if not using supported AI tools.

(178 words)

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