Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Skill ディレクトリ
AI Agent のための再利用可能な Skill を見つける。
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
検索結果: questions
英語版ディレクトリDive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
Data science interview questions and answers
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
High accuracy RAG for answering questions from scientific documents with citations
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
A comprehensive resource for skills and tools tailored for AI coding agents.
A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.
A collection of reusable AI agent skills for personal operators, covering decisions, research, second-brain workflows, and more, designed for Claude Code, Codex, and Cursor.
:books: To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS :dizzy: 程序员的技术视野、知识管理与职业规划,提高个人与团队的研发效能