cy
Community@yuecao365
cy (yuecao365) provides a 34-skill interview question-generation registry covering engineering domains, language stacks, and behavioral deep-dives for technical hiring.
Agent Skills by cy
Showing 34 vetted skills indexed across 1 GitHub repositories.
agent-harness
Generates interview questions for agent infrastructure and runtime engineering roles.
database
Generates database interview questions covering InnoDB internals, SQL optimization, replication, and distributed databases.
backend-java
Generates Java backend interview questions covering JVM, concurrency, Spring, and microservices.
frontend
Generates framework-agnostic frontend interview questions covering browser rendering, JavaScript, and engineering practices.
frontend-vue
Generates Vue-specific interview questions covering reactivity, Composition API, Pinia, Router, and Nuxt.
data-science
Generates data science interview questions covering statistics, A/B testing, SQL, and causal inference.
security
Generates security engineering interview questions covering vulnerabilities, cryptography, SDL, and incident response.
test-qa
Generates interview questions for QA and test engineering roles.
backend-go
Generates Go backend interview questions covering goroutines, channels, GC, and pprof profiling.
product-manager
Generates product manager interview questions covering prioritization, metrics, user research, and AI product thinking.
mobile-ios
Generates iOS-specific interview questions covering Swift, ARC, SwiftUI, concurrency, and performance.
ai-llm
Generates interview questions for AI/LLM application engineering roles covering RAG, agents, and evaluation.
mobile-flutter
Generates Flutter-specific interview questions covering rendering pipeline, state management, and Dart async.
infra-sre
Generates SRE and DevOps interview questions covering Linux troubleshooting, Kubernetes, CI/CD, and SLO design.
backend
Generates stack-agnostic backend architecture interview questions covering caching, databases, messaging, and reliability.
game
Generates game development interview questions covering engines, rendering, networking, and performance optimization.
algorithm
Generates interview questions for machine learning and algorithm engineering roles.
project-deep-dive
Generates layered follow-up interview questions probing resume project and internship authenticity.
behavioral
Generates behavioral interview questions with STAR probing ladders and evaluation signals.
mobile-android
Generates Android-specific interview questions covering lifecycle, Compose, coroutines, and performance.
data-engineering
Generates data engineering interview questions covering data warehousing, streaming pipelines, and data quality.
frontend-react
Generates React and Next.js interview questions covering rendering, Hooks, state, and performance.
data-spark
Generates Spark interview questions covering Shuffle, data skew, memory tuning, and Structured Streaming.
ml-pytorch
Generates PyTorch interview questions covering autograd, training loops, distributed training, and memory optimization.
Frequently Asked Questions About cy
FAQPage SchemaWhat tasks can I accomplish with yuecao365's skill registry?▼
You can generate targeted interview questions across 34 skills spanning backend (Java, Go, Node, C++, Python), frontend (React, Vue), mobile (Android, iOS, Flutter), databases, data engineering, machine learning, LLM/RAG engineering, security, QA, SRE/Kubernetes, embedded systems, plus system design, project deep-dives, and behavioral rounds.
Who is the target audience for these interview question skills?▼
Interviewers, hiring managers, and HR teams screening candidates for software engineering roles. Skills load conditionally based on job descriptions or resumes mentioning specific stacks (e.g., Spring Boot, PyTorch, K8s), with cs-fundamentals as the default fallback for general campus recruiting.
How do the skills decide which question set to load?▼
Each skill declares keyword triggers in its frontmatter. Domain skills (backend, frontend, mobile) load for general roles; stack skills (backend-java, frontend-react, infra-k8s) load when specific technologies appear; base skills (system-design, project-deep-dive, behavioral) apply universally across interview stages.
What prerequisites or dependencies are required to use these skills?▼
No external runtime dependencies are specified in the manifest. Skills are markdown-based frontmatter packages organized in a layered hierarchy (base, domain, stack) with parent-child relationships, requiring only a skill-loading environment that matches JD or resume keywords to trigger the appropriate package.
Does the registry cover LLM and agent infrastructure interviewing?▼
Yes. The ai-llm skill covers RAG, prompt engineering, fine-tuning, and inference optimization, while agent-harness covers agent runtimes, sandboxing, sub-agent orchestration, tracing, eval pipelines, checkpoint recovery, and human-in-the-loop patterns for agent infrastructure roles.