A local-first interview preparation suite for researching companies, building behavioral stories, and conducting mock practice sessions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install interview
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install interview using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Interview Preparation System?
The interview skill is a robust preparation system designed to help candidates secure job offers through structured practice and data-driven insights. Operating as a specialized module within Openclaw Skills, it focuses on the entire interview lifecycle, from initial company research and role analysis to post-interview follow-ups and salary negotiation strategy.
This tool emphasizes privacy and depth by keeping all preparation data stored locally on the user's machine. By integrating this skill, users can transform their professional history into polished behavioral stories using the STAR format and refine their delivery through simulated interview scenarios tailored to specific roles and seniority levels.
Interview Preparation System Use Cases
- Creating a comprehensive research brief for a specific company and role before a first-round interview.
- Building a reusable library of STAR-format stories based on previous project experience and failures.
- Conducting simulated mock interviews for roles like Product Manager or Senior Engineer to practice under pressure.
- Developing a data-backed salary negotiation strategy based on specific job levels and geographic locations.
- Drafting personalized and professional thank-you emails or follow-up messages after completing an interview.
How Interview Preparation System Works
- The user provides a command such as "Research Acme Corp" or "Run a mock interview for a PM role."
- The system triggers specialized scripts like research_company.py or mock_interview.py to handle the specific workflow.
- For research tasks, the agent gathers talking points and company culture insights; for stories, it prompts the user for details to structure into a STAR narrative.
- During mock sessions, the agent asks realistic behavioral or technical questions and provides honest feedback on the user's performance.
- All generated briefs, stories, and feedback records are saved to a local memory directory to ensure privacy and long-term access.
Interview Preparation System Setup
To get started with this interview skill in your Openclaw Skills environment, ensure you have the necessary directory structure initialized for local storage.
mkdir -p memory/interview/
You can then run specific scripts directly to begin your preparation, such as:
python3 scripts/build_story.py --situation "project-failure" --lesson "leadership"
Interview Preparation System Data Schema & Taxonomy
The skill organizes preparation data locally in the memory/interview/ directory using JSON files for high performance and portability.
| File Name | Data Description |
|---|---|
| research.json | Stores company research briefs, mission statements, and talking points. |
| stories.json | Contains structured STAR format behavioral stories. |
| practice.json | Historical records and transcripts of mock interview sessions. |
| salary.json | Market research, negotiation strategies, and compensation data. |
| feedback.json | Post-interview notes, logs of questions asked, and areas for improvement. |
Interview Preparation System Advanced Features
- Role and seniority-level customization for mock interviews ranging from junior to staff levels.
- Automated identification of experience gaps based on job description analysis.
- Local-only data persistence ensuring sensitive career information never leaves the local environment.
- Specific tone control for follow-up drafting, allowing for professional, technical, or casual outreach.
- Integrated STAR format structuring to ensure behavioral answers are concise and impactful.
SKILL.md
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