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Interview

Interview preparation system with company research, story building, and mock interview practice. Use when user mentions job interviews, interview prep, behav...
面试准备系统,包含公司调研、故事构建和模拟面试练习。在用户提到工作面试、面试准备、行为...
agistack
开发者工具 clawhub v3.0.0 2 版本 99781.9 Key: 无需
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#career#hiring#interview#job-search#jobs#latest#preparation#salary

概述

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 briefs
  • memory/interview/stories.json - Story library
  • memory/interview/practice.json - Mock interview records
  • memory/interview/salary.json - Salary research and strategies
  • memory/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

Scripts Reference

ScriptPurpose
-----------------
research_company.pyGenerate company research brief
build_story.pyBuild STAR format stories
mock_interview.pyRun practice interview
prep_salary.pyPrepare salary strategy
draft_followup.pyDraft follow-up messages
analyze_role.pyAnalyze job description
identify_gaps.pyIdentify experience gaps
log_feedback.pyLog post-interview feedback

版本历史

共 2 个版本

  • v3.0.0 当前
    2026-03-30 06:52 安全 安全
  • v1.0.0
    2026-03-11 11:01

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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