ai-expert-skills

Algorithmic problem solving, complexity analysis, and optimization for LeetCode/Codeforces/AtCoder.

Modern C++ (17/20/23) expert for safe, performant code, templates, and UB/memory diagnosis.

Pythonic code, typing, async, standard-library usage, and performance tuning.

Model architecture design, training strategies, debugging, and paper interpretation (PyTorch/TensorFlow).

Evaluation strategies, prompt engineering, red teaming, and regression testing for LLMs.

High-level system design, technology selection, and architecture trade-off analysis.

Git workflows, repository management, pull requests, and GitHub Actions CI/CD.

Complete Three.js skill set: fundamentals, geometry, materials, lighting, textures, animation, loaders, shaders, post-processing, and interaction.

TypeScript type system, generics, narrowing, and strict-mode config for safe, maintainable JS/TS.

Rust ownership, borrowing, lifetimes, traits, async, and idiomatic error handling.

Idiomatic Go: goroutines, channels, interfaces, error handling, and the standard library.

Modern React (18/19): hooks, component patterns, state management, performance, and Server Components.

Next.js App Router, Server Components, server actions, routing, caching, and deployment.

Tailwind CSS utility-first styling, responsive design, theming, and design-system patterns.

Web accessibility (a11y): WCAG, semantic HTML, ARIA, keyboard nav, and screen-reader support.

Node.js backend services with Express/Fastify/Hono: routing, middleware, auth, and async patterns.

Designing REST and GraphQL APIs: resource modeling, versioning, pagination, errors, and contracts.

SQL queries, schema design, indexing, query optimization, and transactions across Postgres/MySQL/SQLite.

Retrieval-Augmented Generation: chunking, embeddings, vector search, reranking, and grounded answers.

Designing effective prompts: structure, few-shot, chain-of-thought, output formatting, and evaluation.

Dockerfiles, multi-stage builds, image optimization, Compose, networking, and container best practices.

Kubernetes workloads: Deployments, Services, ConfigMaps, probes, resources, and troubleshooting.

Robust shell scripts: safe Bash, quoting, error handling, and portable POSIX patterns.

Test strategy and implementation: unit/integration/e2e, TDD, mocking, fixtures, and coverage.

Systematic debugging: reproduction, hypothesis testing, bisection, logging, and root-cause analysis.

Safe, incremental refactoring: code smells, behavior-preserving transforms, and test-backed changes.

Profiling and optimizing CPU, memory, I/O, and rendering hotspots with measure-first methodology.

Secure coding and review: OWASP Top 10, input validation, authn/authz, secrets, and dependency safety.