interview
Interview preparation system with company research, story building, and mock interview practice. Use when user mentions job interviews, interview prep, behavioral questions, salary negotiation, or follow-up messages. Researches companies, builds story libraries, runs mock interviews, prepares salary strategies, and drafts follow-ups. NEVER guarantees job offers.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/agistack/interviewInterview
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
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-agistack-interview": {
"enabled": true,
"auto_update": true
}
}
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