Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
An AI interview coach with 22 practice modes covering mock interviews, STAR method training, behavioral and technical question practice, salary negotiation, and post-interview follow-up. Tracks scores, session history, and weak areas in local files with no external network calls.
Covers the full interview prep cycle from first practice to post-interview follow-up without sending any data to external servers or requiring any accounts.
When to use it
- Running a full mock interview simulation before a Google software engineer interview
- Getting a score and improvement notes on a behavioral question answer
- Practicing salary negotiation responses before an offer call
- Doing a focused 30-minute prep session when an interview is two hours away
- Generating a personalized follow-up thank-you email after an interview
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: mock interview for data analyst
- 1Loads user profile from ~/.openclaw/interview-coach/profile.json
- 2Presents a behavioral question with STAR method guidance
- 3Scores the user's answer across structure, specificity, and result clarity
- 4Provides an improved version of the answer with concrete suggestions
- 5Saves round scores and weak areas to history.json for progress tracking
A completed mock interview session with per-round scores, a strengths and improvement summary, and a comparison to the user's previous session scores