Interview Prep
OfficialThis skill helps you practice and refine your interviewing skills through simulated questions and feedback, boosting your confidence and performance.
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 anthropics/knowledge-work-plugins --skill interview-prep -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
anthropics
Matched to the vendor's own GitHub organisation.
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 anthropics/knowledge-work-plugins at da38ec1ee8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- da38ec1ee8
- Scanned
- 1 file, 38 lines
About this skill
The interview-prep skill empowers AI agents to simulate realistic job interview scenarios, providing immediate feedback on candidate responses and suggesting improvements. It helps users practice answering common questions, refine their tone, and identify areas for enhancement before facing real-world interviews.
When to use it
- Practicing answers to standard behavioral or technical questions before a scheduled interview.
- Simulating high-pressure interview environments to build confidence and reduce anxiety.
- Rehearsing specific scenarios like salary negotiations or handling difficult questions from hiring managers.
- Iterating on responses based on real-time feedback to improve clarity and impact.
Key capabilities
- Generates diverse interview questions across various roles and industries.
- Provides detailed, actionable feedback on user answers including tone, structure, and content.
- Simulates different interviewer personas (e.g., technical lead, HR manager) for varied practice experiences.
- Allows users to refine their responses through multiple rounds of interaction.
Example prompts
- "Simulate a software engineer interview and ask me behavioral questions about conflict resolution."
- "Act as a hiring manager for a marketing role; critique my answer to 'Tell me about a time you failed' and suggest improvements."
- "Practice answering technical system design questions for a senior backend position, focusing on scalability trade-offs."
Tips & gotchas
Ensure you provide context about the specific role or company culture when starting a session to get more tailored feedback. While the skill offers valuable practice, always verify critical information with human mentors or official resources before actual interviews.