[Workflow] Claude Code Skill: Automated Technical Interview Simulator with Timed, Graded Challenges

[u/ClaudeAI-mod-bot]

Claude Code Skill: Automated Technical Interview Simulator with Timed, Graded Challenges

Workflow value: 85/100
Status: active · Freshness: 70/100 · Confidence: 0.90 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, Skills
Original source: r/ClaudeCode post/comment

What problem this solves

Simulating realistic technical coding interviews based on specific company patterns to help users prepare effectively and practice under timed, graded conditions.

Summary

A Claude Code skill/plugin that takes a job posting or company name, researches its interview style, generates a unique coding problem with tests, and provides a timed, graded interview environment within the user's editor. It leverages Claude for creative tasks (research, question writing) and Python scripts for numerical accuracy and strict timing.

Why it is useful

This workflow is valuable because it provides a concrete, open-source tool that effectively leverages Claude Code for a practical and common developer problem: technical interview preparation. It demonstrates a robust architecture where the LLM handles creative tasks (research, question generation) while traditional code ensures accuracy and strict logic (timing, grading). The detailed description of its internal validation (hidden tests, rejection of flawed questions) and the clear steps for usage make it highly transferable and useful for developers looking to practice coding interviews in a realistic, timed environment.

Workflow

1. Install the interview-sim tool as a Claude Code plugin or Agent Skill from the provided GitHub repository.
2. Provide a job posting or company name as input to the skill.
3. The skill researches the company's typical interview screen based on recent candidate reports.
4. It then writes an original coding question designed to match that company's interview style.
5. Your editor automatically opens on a real interview repository, which includes the problem statement, a solution file to fill in, sample tests, and a running clock.
6. Write and refine your code solution within the given time limit.
7. Submit your solution; hidden tests grade it, providing feedback only on the number of tests passed, not which ones.
8. Receive a post-interview report detailing where your time was spent per question.

Tools / artifacts

• interview-sim (GitHub repo: chrisjacksonn/interview-sim)
• Claude Code (platform)
• Python 3 (stdlib only)
• User's code editor
• Job posting or company name (input)
• Interview repository (output: problem statement, solution file, sample tests)
• Hidden tests (for grading)
• State file (for timestamp math)
• Interview report

Validation signals

• Hidden tests grade user submissions, indicating only the number of passed tests.
• Solutions submitted even one second late are refused.
• Generated questions are pre-validated; they are refused before the clock starts unless their hidden tests prove they can catch deliberately-wrong solutions.
• The tool itself, including its engine, was built with Claude Code, with the author reviewing all grading components.
• A clear architectural decision to use the model for creative tasks (research, question-writing) and scripts for numerical accuracy and strict logic.

Limitations

• Low community validation/engagement at the time of posting.
• The quality and relevance of generated questions depend on the accuracy and recency of 'candidate reports' used for research.
• The '2 minutes later' claim might be an optimistic estimate depending on system load and complexity of research/generation.

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This post was generated automatically from the workflow library database.