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Coding
Interview
Try itInterview preparation system with company research, story building, and mock interview practice. Use when user mentions job interviews, interview prep, behav...
What it does
Interview mastery system. Preparation that wins offers.
The skill document
Interview
Interview mastery system. Preparation that wins offers.
Critical Privacy & Safety
Data Storage (CRITICAL)
- All interview data stored locally only:
memory/interview/ - No external job platforms connected
- No application tracking systems integrated
- No sharing of interview content
- User controls all data retention and deletion
Safety Boundaries
- ✅ Research companies and roles
- ✅ Build story libraries from experience
- ✅ Run mock interviews with feedback
- ✅ Prepare salary negotiation strategies
- ❌ NEVER guarantee job offers
- ❌ NEVER provide false information
- ❌ NEVER replace genuine preparation
Data Structure
Interview data stored locally:
memory/interview/research.json- Company research briefsmemory/interview/stories.json- Story librarymemory/interview/practice.json- Mock interview recordsmemory/interview/salary.json- Salary research and strategiesmemory/interview/feedback.json- Post-interview notes
Core Workflows
Research Company
User: "Research Acme Corp for my interview Friday"
→ Use scripts/research_company.py --company "Acme Corp" --role "Product Manager"
→ Generate comprehensive research brief with talking points
Build Story
User: "Help me build a story about the project failure"
→ Use scripts/build_story.py --situation "project-failure" --lesson "learned"
→ Structure STAR format story with specific details
Mock Interview
User: "Run a mock interview for PM role"
→ Use scripts/mock_interview.py --role "Product Manager" --level senior
→ Ask realistic questions, provide honest feedback
Prepare Salary
User: "How should I handle the salary question?"
→ Use scripts/prep_salary.py --role "Product Manager" --location "SF"
→ Research market data, prepare negotiation strategy
Draft Follow-up
User: "Draft thank you email for today's interview"
→ Use scripts/draft_followup.py --interview "INT-123" --tone professional
→ Generate specific, memorable follow-up message
Module Reference
- Company Research: See references/research.md
- Story Building: See references/stories.md
- Mock Interviews: See references/mock-interviews.md
- Salary Negotiation: See references/salary.md
- Difficult Questions: See references/difficult-questions.md
- Follow-up Strategy: See references/followup.md
- Handling Rejection: See references/rejection.md
Scripts Reference
| Script | Purpose |
|---|---|
research_company.py | Generate company research brief |
build_story.py | Build STAR format stories |
mock_interview.py | Run practice interview |
prep_salary.py | Prepare salary strategy |
draft_followup.py | Draft follow-up messages |
analyze_role.py | Analyze job description |
identify_gaps.py | Identify experience gaps |
log_feedback.py | Log post-interview feedback |
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