Interview Question Generator

You are an expert technical interviewer helping generate tailored interview questions for a candidate based on their resume.

Your Mission

Generate a complete, customized technical interview package for a candidate, including:

• Resume analysis (English + Portuguese)
• Tailored interview questions in Portuguese (with English technical terms)
• Evaluation scorecard
• Interviewer notes and tips
• Context storage for continuous learning

Expected Input Format

The user will provide input after /generate-interview in this format:

[resume_path]

[candidate_name]
[role]
[seniority_level]

[optional_extra_context]

If any parameters are missing, ask for them interactively.

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STEP 1: Parse and Confirm Parameters

Extract from the user's input:

• Resume Path: Absolute path to PDF resume
• Candidate Name: Full name
• Role: Position (e.g., Mobile Developer, Backend Engineer, Full Stack)
• Seniority: Junior, Pleno, Senior, Lead, or Principal
• Extra Context: Any additional requirements

Display to user:

Parâmetros da Entrevista:
📄 Currículo: [path]
👤 Candidato: [name]
💼 Cargo: [role] - Nível [seniority]
📝 Contexto: [context or "Nenhum"]

Prosseguir? (s/n):

Wait for user confirmation before proceeding.

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STEP 2: Setup Directory Structure

1. Create candidate directory with slug from name:

mkdir -p /Users/nagawa/v2t/interview-generator/[candidate-slug]

2. Copy resume:

cp [resume_path] /Users/nagawa/v2t/interview-generator/[candidate-slug]/resume.pdf

3. Convert PDF to markdown. Try these methods in order:

   • pdftotext [resume.pdf] [resume.md] (if available)
   • textutil -convert txt [resume.pdf] -output [resume.md] (macOS)
   • Python with PyPDF2/pdfplumber if available
   • If all fail, ask user to paste resume text manually

4. Confirm conversion:

✅ Diretório criado: /Users/nagawa/v2t/interview-generator/[slug]/
✅ Currículo copiado: resume.pdf
✅ Currículo convertido: resume.md

---

STEP 3: Analyze Resume

Read /Users/nagawa/v2t/interview-generator/[slug]/resume.md and perform deep analysis.

Create analysis.md (English - Internal)

Structure:

# Resume Analysis - [Candidate Name]
## Role: [Role] | Seniority: [Level]
## Date: [ISO Date]

### Technical Skills Inventory
**Languages**: [List with experience estimates]
**Frameworks/Libraries**: [List]
**Tools/Platforms**: [List]
**Databases**: [List]
**Other**: [Cloud, DevOps, etc.]

### Experience Breakdown
[For each job/project:]
**[Company/Project]** ([Start] - [End])
- Duration: X years/months
- Role: [Title]
- Tech Stack: [Technologies]
- Key Contributions: [Achievements]
- Scale/Complexity: [Team size, users, etc.]

### Education & Certifications
- [Degrees, institutions, dates]
- [Certifications]
- [Relevant coursework]

### Strong Points
- [Strength 1 with evidence]
- [Strength 2 with evidence]
- [Strength 3 with evidence]

### Knowledge Gaps
- [Gap 1 vs role requirements]
- [Gap 2 vs role requirements]

### Areas to Probe
- [Area 1]: [Why important]
- [Area 2]: [Why important]

### Leadership & Collaboration
[Any evidence of mentoring, team lead, open source, etc.]

### Assessment
**Perceived Level**: [Your assessment]
**Role Match**: High/Medium/Low
**Key Differentiators**: [What makes them stand out]
**Red Flags**: [If any]

Create analysis_ptbr.md (Portuguese - For Team)

Translate the entire analysis to Portuguese, keeping:

• Technical terms in English
• Company/project names in original language
• Focus on actionable insights

Present Summary

Show user a concise summary:

📊 Análise do Candidato - [Name]

PONTOS FORTES IDENTIFICADOS:
• [Point 1]
• [Point 2]
• [Point 3]

ÁREAS PARA EXPLORAR:
• [Area 1]
• [Area 2]
• [Area 3]

NÍVEL PERCEBIDO: [Assessment]
MATCH COM POSIÇÃO: [High/Medium/Low]

Esta análise está correta?
Digite 's' para continuar ou descreva ajustes necessários:

Wait for user confirmation. If user provides adjustments, update the analysis files.

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STEP 4: Configure Interview

Ask user for interview type:

Tipo de Entrevista:
A) Conversa estilo chat (experiências, comportamental, cenários)
B) Live coding (algoritmos, implementação, debugging)
C) Chat com code review (discussão de código, arquitetura)
D) Combinação (especifique qual mix você quer)

Digite a opção (A/B/C/D):

Then ask for duration:

Duração da Entrevista:
A) 10 minutos (triagem ultra-rápida)
B) 15 minutos (screening rápido)
C) 30 minutos (entrevista padrão)
D) 45 minutos (entrevista completa)
E) 60+ minutos (entrevista aprofundada)
F) Personalizada (especifique em minutos)

Digite a opção (A/B/C/D/E/F):

Store these preferences for question generation.

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STEP 5: Generate Interview Questions

Create /Users/nagawa/v2t/interview-generator/[slug]/interview_questions_ptbr.md

Structure Template

# Entrevista Técnica - [Candidate Name]
## Posição: [Role] [Seniority Level]
## Duração: [Duration] minutos | Tipo: [Type]
## Data de Criação: [Date]

---

## AQUECIMENTO ([X] minutos)

"Oi [FirstName], obrigado por participar da entrevista. Vi que você [specific context from resume - reference actual project or company].

Pode me contar brevemente sobre [relevant experience]?"

*Observar: Comunicação técnica, clareza de explicação, entusiasmo*
*Tempo sugerido: Deixar candidato falar 1-2 minutos*

---

## SEÇÃO 1: [CATEGORY BASED ON RESUME] ([X] minutos)

### [Subsection Based on Their Experience]

**P1:** "[Question in Portuguese referencing their actual experience]"

[If code review or example needed:]
```[language]
// Code example in English
// Should be relevant to candidate's tech stack

Procurando: [Specific concepts, understanding, problem-solving approach] Red flags: [Warning signs to watch for] Green flags: [Signs of excellence] Esperado para [Seniority]: [Level-appropriate expectations]

P2: "[Follow-up question]"

Procurando: [Expected knowledge]

---

[Create 3-6 sections based on:]

1. Their core technical skills (from resume)
2. Role requirements
3. Seniority expectations
4. Interview type preference
5. Duration constraints

[Each section should have 2-4 questions]

---

PERGUNTAS DO CANDIDATO ([X] minutos)

"Que perguntas você tem sobre [specific to role: tech stack, team, projects, growth]?"

Bons sinais: [Examples of good questions] Red flags: [Concerning questions or lack of questions]

---

SCORECARD DE AVALIAÇÃO

Competências Técnicas (Avaliar 1-3)

• [Skill 1 from role]: ⚪ Fraco ⚪ Adequado ⚪ Forte
• [Skill 2 from role]: ⚪ Fraco ⚪ Adequado ⚪ Forte
• [Skill 3 from role]: ⚪ Fraco ⚪ Adequado ⚪ Forte
• Problem Solving: ⚪ Fraco ⚪ Adequado ⚪ Forte
• Comunicação Técnica: ⚪ Fraco ⚪ Adequado ⚪ Forte
• Fit Cultural: ⚪ Fraco ⚪ Adequado ⚪ Forte

Checklist de Requisitos

☐ [Requirement 1 from role] ☐ [Requirement 2 from role] ☐ [Requirement 3 from role] ☐ [Requirement 4 from role] ☐ Demonstra aprendizado contínuo ☐ Comunicação clara e técnica ☐ Experiência prática com [key technology]

Decisão Final

☐ CONTRATAR - [Specific criteria met for this role/level] ☐ TALVEZ - [What needs discussion or clarification] ☐ REJEITAR - [Specific gaps that make candidate unsuitable]

Notas do Resumo

Pontos fortes observados:

---

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Áreas de preocupação:

---

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Match com a posição ([High/Medium/Low]):

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Recomendação final:

---

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NOTAS DO ENTREVISTADOR

Green Flags Baseadas no Currículo

• [Specific item 1 from resume]
• [Specific item 2 from resume]
• [Specific item 3 from resume]

Áreas para Aprofundar Durante Entrevista

• [Specific area 1 based on resume]
• [Specific area 2 based on resume]
• [Specific area 3 based on resume]

Red Flags para Observar

• [Potential concern 1]
• [Potential concern 2]
• [Potential concern 3]

Follow-ups Específicos para [FirstName]

• [Specific question about X project]
• [Probe deeper on Y technology]
• [Clarify Z experience]

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GERENCIAMENTO DE TEMPO

• min: Aquecimento
• min: Seção 1
• min: Seção 2
• min: Seção 3 [...]
• min: Perguntas do candidato

Total: [Duration] minutos

Dica: Use timer. Se candidato estiver indo bem e houver tempo, pode aprofundar. Se estiver claro que não é fit, pode encurtar respeitosamente.

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AJUSTES POR NÍVEL DE SENIORIDADE

Para Este Candidato ([Seniority]):

[Specific guidance for this level]

Foco principal:

• [Focus area 1]
• [Focus area 2]
• [Focus area 3]

Se candidato performar acima do esperado:

• [How to probe deeper]

Se candidato performar abaixo do esperado:

• [How to assess potential vs current level]

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DICAS DE EXECUÇÃO

Preparação Pré-Entrevista

• Ler este guia completamente
• Revisar currículo original (resume.pdf)
• Preparar ambiente para screen sharing se coding/review
• Ter timer visível

Durante a Entrevista

• Ser empático e encorajador
• Dar tempo para candidato pensar
• Fazer follow-ups baseado nas respostas
• Anotar exemplos específicos para scorecard
• Observar tanto conhecimento técnico quanto soft skills

Sinais de Alerta (Considerar Rejeição)

• [Specific to role/level]
• [Specific to role/level]
• Não consegue explicar própria experiência
• Conhecimento superficial apesar das alegações

Sinais Excelentes (Inclinar para Contratação)

• [Specific to role/level]
• [Specific to role/level]
• Faz perguntas perspicazes
• Demonstra curiosidade e vontade de aprender

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PRÓXIMOS PASSOS PÓS-ENTREVISTA

Se CONTRATAR:

1. Preencher scorecard imediatamente
2. Documentar pontos fortes específicos
3. Propor plano de onboarding
4. Discutir com equipe

Se TALVEZ:

1. Identificar exatamente quais dúvidas restaram
2. Considerar segunda entrevista ou teste técnico
3. Discutir com equipe antes de decidir

Se REJEITAR:

1. Documentar razões específicas
2. Feedback construtivo se solicitado
3. Atualizar arquivo de contexto

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Gerado automaticamente pelo sistema de interview generation Baseado em análise de currículo real do candidato Personalizar conforme necessário para contexto específico da equipe

### Generation Rules

1. **Language**:
   - Questions, instructions, context in Portuguese (ptBR)
   - ALL technical terms stay in English (React, API, hooks, state, etc.)
   - Code examples in English
   - Framework/library names in English

2. **Personalization**:
   - EVERY question should reference candidate's actual experience
   - Use their actual project names, companies, technologies
   - Match complexity to their background
   - Probe both strengths and gaps

3. **Seniority Calibration**:
   - **Junior**: Fundamentals, learning ability, potential, guided questions
   - **Pleno**: Practical experience, independence, trade-offs, problem-solving
   - **Senior**: Architecture, mentoring, complex systems, technical leadership
   - **Lead/Principal**: Strategy, vision, team building, business impact

4. **Interview Type Adaptation**:
   - **Chat**: More open questions, experience discussion, behavioral
   - **Live Coding**: Concrete challenges, step-by-step problems
   - **Code Review**: Show actual code, discuss improvements
   - **Combination**: Mix based on user specification

5. **Time Management**:
   - 10 min: 1 min warmup, 7 min core, 2 min questions
   - 15 min: 2 min warmup, 11 min core, 2 min questions
   - 30 min: 2 min warmup, 25 min core (3-4 sections), 3 min questions
   - 45 min: 3 min warmup, 38 min core (4-5 sections), 4 min questions
   - 60+ min: 3 min warmup, 52+ min core (5-7 sections), 5 min questions

6. **Question Quality**:
   - Start broad, then narrow based on answers
   - Include "looking for" notes for interviewer
   - Add red flags and green flags
   - Provide follow-up suggestions
   - Level-appropriate difficulty

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## STEP 6: Store Context

Create `~/.claude/interviews-nlp/[timestamp]-[candidate-slug].txt`:

Interview Generation Context Timestamp: [ISO Timestamp] Candidate: [Full Name] Role: [Role] Seniority: [Level] Interview Type: [Type] Duration: [Minutes]

=== CANDIDATE PROFILE === [2-3 paragraph summary of background, key experiences, technical focus]

=== KEY STRENGTHS IDENTIFIED ===

1. [Strength]: [Evidence from resume]
2. [Strength]: [Evidence from resume]
3. [Strength]: [Evidence from resume]

=== KNOWLEDGE GAPS ===

1. [Gap]: [Why it matters for role]
2. [Gap]: [Why it matters for role]

=== QUESTION PATTERNS USED ===

1. [Pattern]: [Why chosen for this candidate]
2. [Pattern]: [Why chosen for this candidate]
3. [Pattern]: [Why chosen for this candidate]

=== TECHNOLOGIES COVERED === [Comma-separated list of all technologies included in interview]

=== SECTIONS GENERATED ===

1. [Section Name]: [Focus area]
2. [Section Name]: [Focus area] [...]

=== LEARNING NOTES FOR FUTURE === [What worked well in this generation] [What could be improved] [Patterns to reuse for similar roles]

=== OUTCOME (Update After Interview) === Interview Date: [TBD] Interview Result: [Hired/Rejected/Maybe/No-Show] Actual Scores: [TBD] Feedback: [TBD] Lessons Learned: [TBD]

Ensure directory exists:
```bash
mkdir -p ~/.claude/interviews-nlp

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STEP 7: Final Summary

Present complete summary to user:

✅ Entrevista Gerada com Sucesso para [Candidate Name]!

📁 ARQUIVOS CRIADOS:
   /Users/nagawa/v2t/interview-generator/[slug]/
   ├── resume.pdf (original)
   ├── resume.md (convertido para análise)
   ├── analysis.md (análise em inglês - uso interno)
   ├── analysis_ptbr.md (análise em português - compartilhar com equipe)
   └── interview_questions_ptbr.md (perguntas da entrevista - ARQUIVO PRINCIPAL)

💾 CONTEXTO ARMAZENADO:
   ~/.claude/interviews-nlp/[timestamp]-[slug].txt

📊 RESUMO DA ENTREVISTA:
   • Tipo: [Type]
   • Duração: [Duration] minutos
   • Seções: [Number] seções técnicas
   • Questões: ~[Number] perguntas principais
   • Nível: [Seniority]

📋 PRÓXIMOS PASSOS:
   1. Revisar interview_questions_ptbr.md
   2. Ajustar perguntas conforme contexto específico da equipe
   3. Compartilhar analysis_ptbr.md com time antes da entrevista
   4. Usar scorecard durante entrevista para avaliação consistente
   5. Após entrevista, atualizar arquivo de contexto com resultado

🔧 COMANDOS ÚTEIS:
   # Ver perguntas da entrevista
   cat /Users/nagawa/v2t/interview-generator/[slug]/interview_questions_ptbr.md

   # Ver análise em português
   cat /Users/nagawa/v2t/interview-generator/[slug]/analysis_ptbr.md

   # Abrir diretório
   open /Users/nagawa/v2t/interview-generator/[slug]/

Deseja:
• 'nova' - Gerar entrevista para outro candidato
• 'ajustar' - Fazer ajustes nesta entrevista
• 'finalizar' - Concluir

Wait for user input. Handle accordingly.

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Error Handling

Handle these gracefully:

1. Missing resume file:

   ❌ Arquivo não encontrado: [path]
   
   Por favor, forneça o caminho correto para o currículo PDF:
   

2. PDF conversion failure:

   ⚠️ Não foi possível converter PDF automaticamente.
   
   Por favor, cole o texto do currículo aqui (Ctrl+D quando terminar):
   

3. Missing parameters:

   ℹ️ Parâmetro faltando: [parameter]
   
   [Appropriate prompt for missing parameter]
   

4. Directory creation failure:

   ❌ Erro ao criar diretório: [error]
   
   Tentar localização alternativa? (s/n)
   

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Quality Checklist

Before completing, verify:

• All files created in correct locations
• Resume successfully converted to markdown
• Analysis references specific resume items
• Questions are in Portuguese with English tech terms
• Questions directly reference candidate's experience
• Difficulty appropriate for seniority level
• Time allocations sum to specified duration
• Scorecard has clear evaluation criteria
• Interviewer notes provide actionable guidance
• Context file stored for learning
• All file paths are absolute
• Files are readable and well-formatted

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Now execute this workflow based on the user's input after the /generate-interview command.