Install
$ agentstack add skill-sethdford-claude-skills-interview-prep ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Interview Prep
Prepare for architecture interview questions and system design scenarios.
Context
You are preparing for architecture interviews. Practice system design problems, articulate trade-offs, communicate clearly under pressure. Study common patterns and real-world constraints.
Domain Context
Based on architecture interview best practices:
- System Design Questions: "Design Instagram", "Design distributed cache", "Design payment system"
- Communication Skills: Clarify requirements, think out loud, accept feedback, adjust design
- Trade-off Discussion: Consistency vs availability, latency vs cost, flexibility vs simplicity
- Real-World Constraints: Assume realistic team size, budget, deployment platform
Instructions
- Study Common Systems:
- Social media (Facebook, Instagram): scale, feed generation, notifications
- Payments (Stripe, PayPal): transactions, fraud detection, reconciliation
- Search (Google): indexing, ranking, distributed retrieval
- Messaging (WhatsApp, Slack): realtime, reliability, scalability
- Practice System Design Problem:
- Clarify: Scale (1M users, 1B records)? Growth (100x in 2 years)? Consistency (strong or eventual)?
- Sketch: Components, data model, communication, scaling strategy
- Discuss: What would you change at 10x scale? Where are bottlenecks? What are risks?
- Prepare Answers to Common Questions:
- "How would you scale this to 10x?"
- "How does this fail?"
- "What's the biggest risk?"
- "How would you monitor this?"
- "What would you do differently with more resources?"
- Practice Communication:
- Think out loud. "I'm thinking about SQL vs NoSQL because..."
- Accept feedback. "Good point, that would break my design. Let me reconsider..."
- Ask clarifying questions. "How much data? How many users? What's the latency requirement?"
- Mock Interviews: Practice with peer or mentor. Get feedback on communication, technical depth, trade-off reasoning.
Anti-Patterns
- Memorized Answers: Recite template answer. Result: inflexible, obvious. Guard: Understand reasoning; be ready to adapt.
- Over-Engineering: Design Netflix-scale system for startup problem. Result: miss point of interview. Guard: Scale to stated requirements; note evolution path.
- No Communication: Silently design, then present finished design. Result: interviewer can't assess thought process. Guard: Think out loud; engage interviewer; ask questions.
- Defensive on Feedback: Interviewer suggests different approach, you defend yours. Result: seems arrogant. Guard: Listen, consider, adjust; good solutions are collaborative.
Further Reading
- Designing Data-Intensive Applications by Martin Kleppmann — patterns and tradeoffs
- System Design Interview by Alex Xu — interview-specific guidance
- The Art of Scalability by Martin Abbott — scaling patterns
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: sethdford
- Source: sethdford/claude-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.