Expand to Career Arsenal: 8 AI-powered career skills collection
- Restructured repo from single skill to skills collection - Added 7 new skills: Resume Architect, Cover Letter Craft, Interview Commander, Salary Negotiator, Career GPS, LinkedIn Optimizer, Job Switch Advisor - Rewrote README as collection hub with pipeline diagram, integration map, and usage-by-stage guides Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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skills/interview-commander.md
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skills/interview-commander.md
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# Interview Commander
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**Master any interview with structured preparation, mock sessions, and tactical frameworks.**
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Winging it is a strategy — a bad one. This skill makes you the most prepared candidate they've ever met.
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## Philosophy
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Interviews are not about being the smartest person in the room. They're about being the most **prepared** person in the room.
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The preparation stack:
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1. **Company Intel** — Know their business better than some employees
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2. **Role Mapping** — Understand exactly what success looks like
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3. **Story Arsenal** — 8-10 prepared stories covering all question types
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4. **Question Bank** — Anticipate 80%+ of questions they'll ask
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5. **Reverse Interview** — Ask questions that show strategic thinking
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6. **Mock Practice** — Rehearse until responses feel natural, not scripted
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## Input Required
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- Job posting (full text or URL)
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- Company name
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- Interviewer names/roles (if known)
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- Interview format (technical, behavioral, case, panel, etc.)
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- Your resume/career notes
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## Workflow
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### Phase 1: Company Deep Dive
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```
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Research agenda:
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- [ ] Product/service catalog and revenue model
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- [ ] Recent quarterly earnings or funding rounds
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- [ ] Competitors and market position
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- [ ] Engineering blog (technical priorities, stack decisions)
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- [ ] Recent press releases and news
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- [ ] Glassdoor interview reviews for THIS role
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- [ ] LinkedIn posts from leadership team
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- [ ] Open GitHub repos and recent activity
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```
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### Phase 2: Role Deconstruction
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```
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From the job post, extract:
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- Top 3 required skills (these WILL be tested)
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- Top 3 responsibilities (these drive behavioral questions)
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- Team size and reporting structure
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- Growth path for this role
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- Why this role exists (growth, replacement, new initiative)
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```
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### Phase 3: Story Arsenal (STAR-L Method)
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Prepare 8-10 stories covering these categories:
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**Situation → Task → Action → Result → Learning**
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```
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Story categories to prepare:
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1. Technical Challenge
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"Tell me about a time you solved a difficult technical problem."
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2. Leadership / Initiative
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"Tell me about a time you took ownership beyond your role."
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3. Conflict Resolution
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"Tell me about a time you disagreed with a colleague."
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4. Failure / Learning
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"Tell me about a time you failed."
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5. Collaboration
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"Tell me about a time you worked with a cross-functional team."
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6. Under Pressure
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"Tell me about a time you had a tight deadline."
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7. Ambiguity
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"Tell me about a time you had to figure something out with little guidance."
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8. Mentorship / Teaching
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"Tell me about a time you helped someone grow."
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9. Data-Driven Decision
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"Tell me about a time you used data to make a decision."
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10. Innovation
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"Tell me about a time you improved a process or system."
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```
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**For each story, prepare:**
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```
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STORY: [Title]
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Situation: [2 sentences of context]
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Task: [1 sentence of what you needed to do]
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Action: [3-4 sentences of what YOU specifically did]
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Result: [1-2 sentences with metrics]
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Learning: [1 sentence of takeaway]
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Keywords it hits: [leadership, ownership, technical-depth, etc.]
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Questions it answers: [list of question types this story fits]
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```
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### Phase 4: Question Bank Generation
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```
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Based on role type, generate anticipated questions:
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## Behavioral (all roles)
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- "Walk me through your experience with [tech from job post]"
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- "Why are you leaving your current role?"
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- "Why do you want to work here?"
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- "Where do you see yourself in 3-5 years?"
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- "What's your biggest weakness?" (reframe as growth area)
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## Technical (engineering roles)
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- System design: "Design [system relevant to company]"
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- Coding: Practice LeetCode patterns common for this level
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- Architecture: "How would you scale [their product]?"
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- Debugging: "How would you investigate [production issue]?"
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## Leadership (senior/staff+)
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- "How do you make technical decisions?"
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- "Tell me about a time you influenced without authority"
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- "How do you handle tech debt vs feature velocity?"
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- "How do you mentor junior engineers?"
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## Product/Business (PM, startup roles)
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- "How would you prioritize [conflicting priorities]?"
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- "What's your framework for making product decisions?"
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- "Tell me about a product you shipped and its impact"
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## Case Study (consulting, strategy)
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- Market sizing questions
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- Profitability frameworks
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- Market entry analysis
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```
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### Phase 5: Reverse Interview Questions
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```
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Questions to ask THEM (pick 5-7):
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Culture & Team:
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- "What does a typical week look like for someone in this role?"
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- "How does the team make technical decisions?"
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- "What's the ratio of feature work to maintenance?"
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Growth & Impact:
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- "What does success look like in the first 6 months?"
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- "What's the biggest challenge the team is facing right now?"
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- "How has this role evolved over the past year?"
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Technical (for engineering):
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- "How do you handle tech debt?"
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- "What's your deployment process like?"
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- "How do you balance speed vs quality?"
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Red Flag Detectors:
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- "Why is this position open?"
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- "What's the team's attrition rate like?"
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- "How would you describe the work-life balance?"
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Strategic (shows you think big):
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- "What's the company's biggest technical challenge in the next year?"
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- "How does this role contribute to [company goal]?"
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- "What would you change about the product if resources were unlimited?"
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```
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### Phase 6: Mock Interview Mode
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```
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Run a practice session:
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1. Claude acts as interviewer for the target role
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2. Ask 5-7 questions from the generated question bank
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3. User responds (voice or text)
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4. Claude evaluates each response:
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- Did you use the STAR format?
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- Was there a measurable result?
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- Did you mirror their language?
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- Was the answer under 2 minutes?
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- What was the weakest part?
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5. Repeat until scores are consistently 8/10+
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```
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## Interview Format Playbooks
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### Technical Screen (45-60 min)
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```
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Minute 0-5: Intro + "Tell me about yourself" (90 seconds max)
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Minute 5-40: Coding/system design problem
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Minute 40-55: Your questions for them
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Minute 55-60: Close + next steps
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Strategy:
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- Think aloud constantly
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- Ask clarifying questions before coding
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- Start with brute force, then optimize
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- Mention time/space complexity
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- Test with edge cases
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```
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### Behavioral Round (45-60 min)
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```
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Minute 0-5: Small talk + "Walk me through your resume"
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Minute 5-45: 4-6 behavioral questions
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Minute 45-60: Your questions
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Strategy:
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- Each answer: 90-120 seconds max
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- Always end with a result/impact
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- Bridge to your prepared stories
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- Show self-awareness + growth
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```
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### Panel Interview (60-90 min)
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```
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Multiple interviewers, often mixing behavioral + technical.
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Strategy:
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- Address answers to the question-asker but make eye contact with all
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- Note each interviewer's role — tailor examples to their concerns
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- The "silent" panelist is often the most senior — watch their reactions
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```
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### Case Study (45-60 min)
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```
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Framework:
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1. Clarify the problem (ask 3-5 questions upfront)
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2. Structure your approach (share your framework)
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3. Analyze (do the math, show your work)
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4. Synthesize (give a recommendation with tradeoffs)
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5. Risks and next steps
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Never:
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- Jump to a solution without structuring
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- Ignore numbers/data provided
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- Give a recommendation without acknowledging tradeoffs
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```
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## Post-Interview
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### Thank You Email (send within 4 hours)
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```
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Hi [Interviewer Name],
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Thank you for the conversation today. I really enjoyed discussing [specific topic from interview].
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[One sentence referencing something specific they said or a problem you discussed].
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[Optional: brief follow-up on a question you could have answered better].
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I'm even more excited about the [Role] after our conversation. Looking forward to next steps.
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Best,
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[Name]
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```
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### Self-Assessment Template
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```
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Interview Score Card:
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Overall confidence: [1-10]
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Per-question evaluation:
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Q1: [Question asked]
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My answer: [Brief recall]
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Score: [1-10]
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What I should have said: [Better answer]
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Q2: ...
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Missed signals:
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- [Things they mentioned that I should follow up on]
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Follow-up actions:
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- [ ] Send thank you email
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- [ ] Reference [topic] in follow-up
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- [ ] Prepare for likely next round format
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```
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## Integration with Other Skills
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- **jobhunter-master**: Receives company research and interviewer info
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- **resume-architect**: Shares career data for story preparation
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- **salary-negotiator**: If salary comes up during interview
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- **gog**: Send thank-you emails
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- **browser**: Research interviewers on LinkedIn
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## Files
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- `memory/interview-prep/[company]-[role].md` — Full prep document
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- `memory/story-arsenal.md` — Master list of reusable STAR stories
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- `memory/mock-results/[company]-[date].md` — Practice session scores
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