interview-coach
When user asks for interview prep, mock interview, practice questions, behavioral questions, technical interview, HR round, salary negotiation, STAR method, common interview questions, company research, interview tips, confidence building, answer feedback, body language tips, follow-up email after interview, or any job interview task. 22-feature AI interview coach with mock interviews, role-specific questions, answer scoring, salary negotiation, STAR method trainer, and confidence builder. All data stays local — NO external API calls, NO network requests, NO data sent to any server.
Why use this skill?
Master your next job interview with an AI coach that provides mock practice, STAR method training, and salary negotiation help, all stored locally for complete privacy.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/mkpareek0315/interview-coach-aiWhat This Skill Does
The Interview Coach is a comprehensive, privacy-focused AI assistant designed to help you excel in every stage of your job search. Acting as a professional mentor, it provides personalized mock interviews, strategic feedback, and specific training on behavioral and technical questions. Whether you are prepping for a high-stakes FAANG technical interview or an HR screening, the AI adapts to your experience level and industry. It tracks your progress locally, ensuring your career goals and performance metrics remain entirely under your control.
Installation
To integrate the Interview Coach into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/mkpareek0315/interview-coach-ai
Once installed, the skill will initialize its local data storage on the first interaction, creating the necessary JSON files in ~/.openclaw/interview-coach/ to manage your profile, practice history, and identified areas for improvement.
Use Cases
This tool is designed for job seekers at any career stage. Common use cases include:
- Behavioral Interviewing: Master the STAR (Situation, Task, Action, Result) method for complex questions.
- Technical Review: Practice coding concepts, system design, or domain-specific queries.
- Confidence Building: Receive constructive criticism on your phrasing, tone, and body language cues.
- Salary Negotiation: Roleplay tough financial conversations to understand your market value.
- Quick Prep: Use the "Last Minute Prep" mode when you have an interview in less than two hours.
Example Prompts
- "I have an interview for a Senior Product Manager role at a startup tomorrow. Can you help me practice some behavioral questions and give me feedback on my answers?"
- "I am struggling with the STAR method for explaining past conflicts. Can you help me structure my response for 'tell me about a time you disagreed with a coworker'?"
- "Give me a technical interview question for a Python Developer role and let me try to solve it so you can score my response."
Tips & Limitations
- Be Specific: The more details you provide about your target company and role, the better the AI can tailor the questions.
- Privacy: Remember that all data is stored locally. If you ever need to clear your history, simply delete the files in the
~/.openclaw/interview-coach/directory. - Limitations: Since this tool does not access the internet, it cannot retrieve real-time news about specific companies or live salary market data. It relies on its internal training data to provide high-quality, universal interviewing principles.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-mkpareek0315-interview-coach-ai": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, code-execution
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