| name | interview-story-bank |
| description | Build or refresh Nikunj Khitha's interview STAR story bank from portfolio and resume facts for backend, GenAI, platform, ownership, debugging, leadership, conflict, and failure questions. |
Interview Story Bank
Use this skill to prepare reusable interview stories from verified portfolio/resume facts.
Trigger Examples
$interview-story-bank
Use the interview-story-bank skill.
Build STAR stories from my portfolio and resume.
Add with subagents for the full optimized flow.
Inputs
- Portfolio repo, default: current repository
- Resume path, default:
Nikunj_Khitha_ATS_Resume_2026.tex
- Optional target company/JD
Lightweight Flow
- Read the resume and portfolio facts.
- Build 8-12 STAR stories across:
- Backend systems
- GenAI/RAG
- Platform/gateway work
- Automation
- Debugging/incident handling
- Ownership
- Conflict/collaboration
- Failure/learning
- For each story, include situation, task, action, result, technologies, metrics, and likely interview questions.
Full Subagent Flow
When explicitly invoked with with subagents, spawn:
portfolio_resume_miner: verified facts and metrics
jd_keyword_analyst: target role themes, if JD is provided
company_researcher: company-specific interview angles, if company/JD is provided
interview_story_builder: STAR story drafting
final_resume_reviewer: checks unsupported claims
Rules
- Do not fabricate adversity, leadership, metrics, or outcomes.
- Prefer specific engineering decisions over vague teamwork language.
- Keep each story concise enough to answer in 90-120 seconds.