Interview System Designer
CheckedThis skill designs structured interview systems to gather consistent and relevant candidate data for efficient hiring processes.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add alirezarezvani/claude-skills --skill interview-system-designer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
alirezarezvani
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned alirezarezvani/claude-skills at 19392f7a08.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 19392f7a08
- Scanned
- 16 files, 6,215 lines
About this skill
The interview-system-designer skill equips AI agents to act as expert system design interviewers, guiding candidates through technical problem-solving scenarios. It structures interactions to evaluate architectural thinking, trade-off analysis, and communication skills typical of senior engineering roles.
When to use it
- Simulate realistic coding or architecture interviews for hiring managers needing to assess candidate depth.
- Provide structured practice sessions for job seekers preparing for system design rounds.
- Generate dynamic interview questions tailored to specific domains like distributed systems or databases.
- Evaluate candidate responses by asking follow-up probing questions based on previous answers.
Key capabilities
- Conducts interactive, turn-based technical interviews.
- Focuses specifically on system design principles and scalability challenges.
- Adapts questioning style to mimic real-world engineering interview environments.
- Tracks conversation flow to ensure comprehensive coverage of the design topic.
Example prompts
- "Act as a senior engineer interviewing me for a backend role. Start by asking me to design a URL shortening service."
- "I need to practice my system design skills. Please interview me on how to build a global file storage system like Dropbox."
- "Simulate a 30-minute system design interview where I have to design a real-time chat application. Ask me one question at a time."
Tips & gotchas
Ensure you provide your initial design constraints (e.g., expected traffic, latency requirements) before the AI begins asking questions to set the context properly. This skill is best used for interactive practice rather than generating static interview documents.