Bughouse1024

Bughouse1024 / interviewer-skill

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对你遇到过的面试官进行逆向工程，将他蒸馏成一个继续追问你、拷打你的 AI Skill。 | Reverse-engineer the interviewers you've met. Distill them into an AI Skill that keeps roasting you.

17
0
100% credibility
Found Apr 26, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project helps users create AI simulations of specific interviewers from past experiences using notes, transcripts, and backgrounds for targeted job interview practice.

How It Works

1
🔍 Discover the helper

While searching for better ways to practice job interviews, you stumble upon this friendly project that lets you recreate past interviewers.

2
📥 Set it up easily

You add it to your AI chat space with a quick download, making everything ready in moments.

3
🧑‍💼 Create your interviewer

You give it notes from a real interview, like chat logs, job details, or the person's background, and it builds a spot-on AI version of that tough questioner.

4
💬 Jump into practice

You chat with your new AI interviewer, answering questions, getting grilled just like before, and improving your responses.

5
🔄 Make it better

Share more stories or fixes, update the AI, and roll back if needed to keep practicing perfectly.

✅ Feel interview-ready

After realistic sessions that roast your weak spots, you walk into real interviews confident and prepared.

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AI-Generated Review

What is interviewer-skill?

This Python tool for Claude Code turns real interviewers into persistent AI Skills through reverse engineering: feed it transcripts, job descriptions, papers, GitHub profiles, or notes on their style, and it distills a custom bot that grills you with their exact questions, follow-ups, and pressure tactics. It solves the asymmetry of interviews—where you know nothing about them—by letting you practice against a 24/7 simulation in Claude Code or OpenClaw, complete with commands like `/create-interviewer`, `/{slug}`, and `/update-interviewer`. Part of the GitHub skill directory and AgentSkills standard, it's like a personal interview skills training course powered by claude skill reverse engineering.

Why is it gaining traction?

Unlike generic question banks or roleplay prompts, it builds nuanced personas from your materials—tech background, behavior patterns, and quirks—yielding scarily accurate roasts that evolve with corrections or new data, plus version rollback for safe iteration. Developers dig the seamless integration into Claude Code skills, social parsing for GitHub/LinkedIn scraps, and management tools that feel like a github skill marketplace entry. The hook: finally reverse engineer interviewer skills and techniques to nail interview qualities and skills without endless generic prep.

Who should use this?

Job-hunting engineers prepping for repeat interviewers at quant shops or FAANG, especially those hit with brainteasers or code deep-dives. Ideal for devs reverse engineering skill claude agents from past flops, or teams building skill github anthropic sets for mock interview skills training. Skip if you're not in Claude Code or need broad coverage over hyper-specific simulations.

Verdict

Try it if you're deep in Claude Code—solid docs and AgentSkills compliance make setup painless, but with 17 stars and 1.0% credibility score, it's early-stage and best as a supplement to real prep. Promising for skillora ai interviewer fans, just expect to contribute to mature it.

(198 words)

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