placed-interview-coach
This skill should be used when the user wants to "practice interview", "mock interview", "prepare for interview", "system design interview", "behavioral interview", "STAR stories", "interview coaching", "get interview questions", or wants to prepare for technical interviews using the Placed career platform at placed.exidian.tech.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ajitsingh25/placed-interview-coachWhat This Skill Does
The Placed Interview Coach is a specialized AI-powered agent skill designed to bridge the gap between theoretical knowledge and practical performance in technical and behavioral interviews. By integrating directly with the Placed API (placed.exidian.tech), the agent provides a simulated, high-stakes environment for candidates to refine their responses. The skill supports end-to-end interview workflows, ranging from mock technical interviews for roles at top-tier companies to structured system design challenges and the curation of STAR-format (Situation, Task, Action, Result) stories for behavioral rounds. It effectively acts as a 24/7 career coach that offers real-time feedback, suggests improvements to your narrative, and generates company-specific interview questions.
Installation
To begin using the Placed Interview Coach, ensure you have the OpenClaw agent platform configured. Install the skill via the terminal command: clawhub install openclaw/skills/skills/ajitsingh25/placed-interview-coach. Upon the first execution, the agent will verify your API key located at ~/.config/placed/credentials. If the key is missing, the agent will prompt you to visit the Placed platform to generate one, which it will then automatically persist for your future sessions, ensuring a seamless setup.
Use Cases
- Technical Mastery: Conduct mock interviews for specific roles (e.g., Senior Software Engineer) with adjustable difficulty levels to prepare for real-world scenarios at companies like Google or Amazon.
- System Design: Access a library of industry-standard case studies—such as designing Twitter, Netflix, or Uber—to practice architectural trade-offs.
- Behavioral Polish: Develop, refine, and save your most impactful professional achievements into a 'story bank' using the STAR methodology.
- Targeted Prep: Generate anticipated interview questions based on specific job titles to focus your studying efforts effectively.
Example Prompts
- "I have an upcoming interview for a Senior Software Engineer role at Google. Can you start a mock interview session for me?"
- "I'm nervous about my behavioral round. Let's practice some STAR-format questions, and help me refine my answer about a time I led a cross-functional project."
- "Show me the list of available system design cases, and let's dive into the 'Design URL Shortener' problem at a senior difficulty level."
Tips & Limitations
To maximize the value of this skill, ensure your resume ID is current if you have one uploaded to the Placed platform, as it provides context for your experience. The feedback loop is iterative: don't hesitate to ask for specific critiques on your tone or technical depth. Limitations include the reliance on external network connectivity to the Placed API and the requirement to maintain a valid API key. While the AI provides expert-level guidance, it is meant as a supplementary tool; always verify architectural decisions against real-world documentation.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ajitsingh25-placed-interview-coach": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: network-access, file-write, file-read, external-api
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