tatat/agents-playground

interview-prep

Prepare for job interviews with practice questions and response strategies

First seen Jan 22, 2026

Installation

$ npx skills add tatat/agents-playground --skill interview-prep

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
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OpenCode Not declared

Repository health

Stars 5
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,593 B
  • docs SUMMARY.md 96 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 100 installs

SKILL.md

Interview 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)