interview-prep

name	interview-prep
description	Use this skill when preparing for technical interviews, system design interviews, behavioral interviews, or mock interview practice. Trigger on keywords: interview, interview prep, mock interview, LeetCode, system design interview, behavioral question, STAR method, interview practice, job interview, coding interview.

Interview Preparation

Interview Types & What They Test

Type	What They're Testing	How to Prepare
Coding / DSA	Problem-solving, CS fundamentals	LeetCode patterns, not random problems
System Design	Architecture thinking, trade-offs	Practice frameworks, read real systems
Behavioral	Past behavior predicts future	STAR stories for 6-8 scenarios
Technical Discussion	Depth of knowledge, communication	Know your stack deeply, read vs write trade-offs

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Coding Interview: Pattern-First Approach

Don't grind random problems. Learn patterns:

Pattern	When to Use
Two Pointers	Sorted arrays, palindromes, pair sums
Sliding Window	Subarray problems, longest/shortest window
Fast & Slow Pointers	Cycle detection, linked list middle
BFS / DFS	Trees, graphs, shortest path
Binary Search	Sorted data, "find in X" problems
Dynamic Programming	Overlapping subproblems, optimization
Heap / Priority Queue	K largest/smallest, streaming data

Problem-Solving Template

1. Clarify: "Can I have duplicates? What's the input range? What to return if empty?"
2. Example: Walk through a small example out loud
3. Brute force: State the naive solution first
4. Optimize: "I can improve this by..."
5. Code: Write clean, named code
6. Test: Trace through your example + edge cases
7. Complexity: State time and space complexity

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System Design Interview Framework

1. Clarify requirements (2-3 min)
   - Functional: What does it do?
   - Scale: Users, requests/sec, data volume
   - Non-functional: Latency, availability, consistency

2. Estimate scale (2 min)
   - Back-of-envelope: storage, throughput, bandwidth

3. High-level design (5-10 min)
   - Draw main components and their relationships
   - Define the API

4. Deep dive (10-15 min)
   - Zoom into the hardest part
   - Address bottlenecks proactively

5. Bottlenecks & trade-offs (5 min)
   - What would fail at scale?
   - What did you consciously trade off?

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Behavioral Interview: STAR Method

Situation: Set the scene (1-2 sentences)
Task:      What was your responsibility?
Action:    What did YOU specifically do? (most important part)
Result:    What was the outcome? Quantify if possible.

Prepare Stories for These Scenarios

1. Technical challenge you solved
2. Conflict with a teammate — how you handled it
3. Time you failed and what you learned
4. When you had to learn something quickly
5. A project you're most proud of
6. When you disagreed with a decision but executed anyway
7. When you went beyond your role to help the team

Anti-Patterns

• Using "we" when you should say "I" — be specific about YOUR contribution
• Vague results — quantify: "reduced load time by 40%", "unblocked 3 teammates"
• No reflection — always include what you learned

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Using AI for Interview Prep

"Act as a technical interviewer for a [senior/mid] 
[frontend/backend/full-stack] developer role.

Ask me coding/system design/behavioral questions.
After each answer:
- Tell me what I did well
- Tell me what a stronger answer would include
- Rate my answer: Strong / Adequate / Needs Work

Start with a medium difficulty question."

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The Day-Of Checklist

• Good sleep the night before (cognitive performance > cramming)
• Clarify before coding — interviewers value communication
• Think out loud — they want to see your process
• It's okay to pause and think — silence is better than wrong
• Ask for hints if truly stuck — it shows self-awareness
• End with questions — shows genuine interest