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cy

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@yuecao365

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10Public Repos
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34Published Skills

cy (yuecao365) provides a 34-skill interview question-generation registry covering engineering domains, language stacks, and behavioral deep-dives for technical hiring.

Skills Distribution
DomainDeveloper To...Backend & Systems .. (30%)Data, ML & LLM Eng.. (25%)Frontend & Mobile .. (20%)Infrastructure, Se.. (15%)

Agent Skills by cy

Showing 34 vetted skills indexed across 1 GitHub repositories.

yuecao365yuecao365
23

agent-harness

Generates interview questions for agent infrastructure and runtime engineering roles.

Community
Advanced
yuecao365yuecao365
23

database

Generates database interview questions covering InnoDB internals, SQL optimization, replication, and distributed databases.

Community
Intermediate
yuecao365yuecao365
23

backend-java

Generates Java backend interview questions covering JVM, concurrency, Spring, and microservices.

Community
Intermediate
yuecao365yuecao365
23

frontend

Generates framework-agnostic frontend interview questions covering browser rendering, JavaScript, and engineering practices.

Community
Intermediate
yuecao365yuecao365
23

frontend-vue

Generates Vue-specific interview questions covering reactivity, Composition API, Pinia, Router, and Nuxt.

Community
Intermediate
yuecao365yuecao365
23

data-science

Generates data science interview questions covering statistics, A/B testing, SQL, and causal inference.

Community
Intermediate
yuecao365yuecao365
23

security

Generates security engineering interview questions covering vulnerabilities, cryptography, SDL, and incident response.

Community
Intermediate
yuecao365yuecao365
23

test-qa

Generates interview questions for QA and test engineering roles.

Community
Intermediate
yuecao365yuecao365
23

backend-go

Generates Go backend interview questions covering goroutines, channels, GC, and pprof profiling.

Community
Intermediate
yuecao365yuecao365
23

product-manager

Generates product manager interview questions covering prioritization, metrics, user research, and AI product thinking.

Community
Intermediate
yuecao365yuecao365
23

mobile-ios

Generates iOS-specific interview questions covering Swift, ARC, SwiftUI, concurrency, and performance.

Community
Intermediate
yuecao365yuecao365
23

ai-llm

Generates interview questions for AI/LLM application engineering roles covering RAG, agents, and evaluation.

Community
Intermediate
yuecao365yuecao365
23

mobile-flutter

Generates Flutter-specific interview questions covering rendering pipeline, state management, and Dart async.

Community
Intermediate
yuecao365yuecao365
23

infra-sre

Generates SRE and DevOps interview questions covering Linux troubleshooting, Kubernetes, CI/CD, and SLO design.

Community
Intermediate
yuecao365yuecao365
23

backend

Generates stack-agnostic backend architecture interview questions covering caching, databases, messaging, and reliability.

Community
Intermediate
yuecao365yuecao365
23

game

Generates game development interview questions covering engines, rendering, networking, and performance optimization.

Community
Intermediate
yuecao365yuecao365
23

algorithm

Generates interview questions for machine learning and algorithm engineering roles.

Community
Intermediate
yuecao365yuecao365
23

project-deep-dive

Generates layered follow-up interview questions probing resume project and internship authenticity.

Community
Intermediate
yuecao365yuecao365
23

behavioral

Generates behavioral interview questions with STAR probing ladders and evaluation signals.

Community
Intermediate
yuecao365yuecao365
23

mobile-android

Generates Android-specific interview questions covering lifecycle, Compose, coroutines, and performance.

Community
Advanced
yuecao365yuecao365
23

data-engineering

Generates data engineering interview questions covering data warehousing, streaming pipelines, and data quality.

Community
Intermediate
yuecao365yuecao365
23

frontend-react

Generates React and Next.js interview questions covering rendering, Hooks, state, and performance.

Community
Intermediate
yuecao365yuecao365
23

data-spark

Generates Spark interview questions covering Shuffle, data skew, memory tuning, and Structured Streaming.

Community
Intermediate
yuecao365yuecao365
23

ml-pytorch

Generates PyTorch interview questions covering autograd, training loops, distributed training, and memory optimization.

Community
Advanced

Frequently Asked Questions About cy

FAQPage Schema
What 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.