K1XE

K1XE / InterviewForge

Public

Local-first interview recording review reports with a Codex skill and CLI.

37
6
85% credibility
Found May 17, 2026 at 38 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

InterviewForge is a privacy-first tool that transforms local interview recordings into structured review documents. It processes video or audio files entirely on your computer, extracting and cleaning up questions and answers, then generates a polished Chinese PDF report. The report includes quality ratings for each answer, suggested improvements, technical remediation notes, and follow-up learning resources. InterviewForge is designed for job seekers who want to seriously review their interview performance and prepare strategically for future opportunities. It can be used directly as a command-line tool or installed as a skill for AI coding assistants.

How It Works

1
🎬 You record your interview

You record a job interview on your computer and save the video or audio file locally.

2
🔧 You set up the tool

You install InterviewForge on your computer, which works completely offline without sending anything to the internet.

3
✨ The tool listens to your recording

InterviewForge carefully listens to your interview, identifies every question the interviewer asked, and cleans up your answers so they read naturally.

4
📋 You review the structured draft

The tool creates a draft showing each question, your answer, a quality rating, and suggestions for improvement.

5
Choose how to polish your answers
🤖
Let an AI assistant help

You ask your AI coding assistant to install the skill and help refine the answers.

✍️
Polish it yourself

You go through the draft and improve your answers directly.

6
📄 Your review PDF is created

InterviewForge compiles everything into a beautiful, printable PDF with sections for questions, answers, technical notes, and learning resources.

🎓 You study and improve for next time

You now have a complete interview playbook showing exactly what went well, what needs work, and what to study next.

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AI-Generated Review

What is InterviewForge?

InterviewForge converts local interview video or audio recordings into structured Chinese PDF review reports. It runs entirely on your machine—no uploads, no cloud APIs—using local ASR to transcribe, then reconstructing what the interviewer asked versus what you answered. The pipeline produces question-by-question cards with quality ratings, suggested answers, and follow-up study resources, rendered as a printable LaTeX PDF. It ships as both a CLI tool and a reusable agent skill for AI coding assistants like Codex and Claude Code.

Why is it gaining traction?

The privacy-first design is the hook. Interview recordings are sensitive, and this tool keeps everything local by default—audio, transcripts, and reports never leave your machine. The CLI is straightforward: init a run directory, feed in video or audio, render the PDF, validate the output. The agent skill integration means you can hand off the entire workflow to an AI assistant with a single prompt. The output structure is opinionated but practical—quality labels, source citations, and follow-up resources give you a real playbook for the next round.

Who should use this?

Developers preparing for technical interviews who want to review their performance with evidence-backed reports. Job seekers running mock interviews who need structured debriefs. Teams standardizing post-interview analysis. Anyone who prioritizes data privacy and prefers local-first tooling over cloud transcription services.

Verdict

InterviewForge solves a real problem with a thoughtful, privacy-conscious design. The CLI is clean, the agent skill is a nice touch, and the output structure is genuinely useful for interview prep. However, with only 37 stars and alpha status, the credibility score of 0.85% reflects limited community validation—expect rough edges and evolving APIs. Worth trying for personal use, but hold off on production dependency until the project matures.

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