OpenClaw

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.

agistack0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install agistack/interview

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/agistack/interview
Version: —
Commit: a3d790491699b2dfcec21777e1d72e8a82138a3c
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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...

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