About interview-prep
Interview Prep is a skill for candidates preparing for job interviews. It creates role-specific questions and scenarios, offers STAR guidance and response feedback, and includes company-specific preparation.
Key features
- 01Role-specific interview questions
- 02STAR method guidance
- 03Practice scenarios
- 04Response feedback
- 05Company-specific preparation
Use cases
- 01Practice for a behavioral, technical, or case interview
- 02Prepare questions for a particular job role
- 03Improve answers using feedback and STAR guidance
- 04Research a company before an interview
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ tatat/ agents-playground --skill interview-prepAfter installing, type/interview-prepin Claude Code to confirm it loaded.
Details
From the project READMEInterview Prep
Prepare candidates for job interviews with tailored practice and feedback.
Capabilities
- Generate role-specific interview questions
- Provide STAR method guidance
- Create practice scenarios
- Give feedback on responses
- Research company-specific preparation
Input Format
- Job role/title
- Company (if known)
- Interview type (behavioral, technical, case)
- Experience level
- Areas of concern
Output Format
Interview Prep: [Role] at [Company]
Interview Type: [Type]
Company Research:
- Mission: [Summary]
- Recent news: [Relevant items]
- Culture notes: [What to know]
Common Questions:
1. [Question]
Why asked: [What interviewer wants to know]
STAR Framework:
- Situation: [Setup guidance]
- Task: [Your responsibility]
- Action: [What YOU did]
- Result: [Quantified outcome]
Sample response: [Example answer]
2. [Question]
...
Technical Questions (if applicable):
1. [Question]
Key points: [What to cover]
Questions to Ask Interviewer:
1. [Thoughtful question about role]
2. [Question about team/culture]
3. [Question about growth]
Red Flags to Avoid:
- [Common mistake]
- [What not to say]
Day-of Checklist:
□ Research latest company news
□ Prepare 3 stories demonstrating key skills
□ Have questions ready
□ Know interviewer names
Tips
- Use specific examples, not hypotheticals
- Quantify results when possible
- Show learning from failures
- Be concise (2 min max per answer)
Comments
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