Resources

Community-curated collection of free public APIs organized by domain. Developers can browse categorized listings to discover interfaces suitable for integration into their own products and side projects.

Open-source tutorial collection teaches large-scale system design and interview preparation, offering architecture diagrams, case studies, problem walkthroughs, and Anki flashcards for software engineers.

Curated collection of project-based programming tutorials organized by language, guiding developers to learn by building complete applications from scratch through hands-on practice.

Open self-study curriculum covering the full computer science degree path, aggregating top online courses for independent learners worldwide at no cost.

Large open collection of example prompts for ChatGPT and similar models, with interactive guides and companion learning materials to help users practice prompt writing and reuse patterns.

Library of personality-driven specialist agent personas spanning frontend, marketing, engineering, and operations, installable into Claude Code, Cursor, and other coding assistants for reusable expert workflows.

Curated collection of leaked and published system prompts, internal tool definitions, and model details from dozens of AI coding and assistant tools like Cursor, Claude Code, and Devin for researchers and engineers studying prompt design.

Curated collection for AI developers featuring more than one hundred runnable open-source templates for AI agents, agent skills, and retrieval-augmented generation applications.

Community-maintained collection of publicly available IPTV channels from around the world, offering playlists and stream sources for import into video players.

Curated collection of DESIGN.md files distilled from popular brand design systems, helping developers guide coding agents to generate consistent, high-quality user interfaces matching a chosen visual style.

Systematically categorized curated list of high-quality macOS applications, helping Mac users search, discover, and install software across different functional categories.

A curated collection of PDF textbook links covering primary, secondary, and university subjects, allowing Chinese students and self-learners to browse and download study materials.

Systematic guide to prompt engineering compiling papers, tutorials, lectures, and techniques for readers learning, referencing, and practicing effective prompting methods.

Curated guide to self-studying computer science, collecting learning roadmaps, course materials, hands-on projects, and advanced resources across multiple specializations for independent learners.

Curates over a thousand Claude skills, plugins and workflow tools, indexing multi-agent setups and productivity use cases to help developers discover reusable extensions for customizing Claude AI workflows.

Regularly updated collection of leaked system prompts from major AI assistants, including Claude, GPT, Gemini, Grok, and others, intended for research and comparison.

Curates practical Claude Code guidance for moving from vibe coding to agentic engineering, covering subagents, instructions, skills, workflows, and hooks through real-world configuration examples for AI-assisted developers.

Curated directory of Chinese independent developers and their products, helping readers discover who is building what and follow trends across the indie community.

Teaches AI engineering from fundamentals through hands-on projects, covering prompts, skills, agents, and MCP implementation for learners progressing toward shipping real applications.

Chinese-language guide aggregating circumvention clients, node configurations, and tutorials, indexing methods and setup instructions for accessing the open internet across platforms.

Collection of notebooks and recipes demonstrating practical Claude API patterns including classification, RAG and tool calling, giving developers copyable examples for building AI features.

Archives purportedly leaked system prompts from major AI assistants including ChatGPT, Claude, Gemini, and coding tools, supporting transparency research, comparison, and prompt study.

The open-source companion repository for Li Bojie's book on AI agents, providing the full text, compiled PDF, and chapter-by-chapter example code for study and practice.

A long-running curated collection spotlighting quality GitHub projects, with yearly roundups across AI tools, tutorials, resources and developer utilities.

Curates more than fourteen hundred installable agent skills for Claude Code, Cursor, Codex CLI, and Gemini CLI, with an installer CLI, bundles, and searchable collections.

Provides a local, agent-first control plane for discovering, selecting, validating, and planning across a catalog of more than two thousand agentic skills, with CLI, MCP, and workbench tooling.

Collection of reusable, task-oriented AI prompt patterns helping terminal users apply large language models efficiently to everyday challenges with proven workflows.

Visual, example-driven learning guide to Claude Code, organized into ten modules covering basic concepts to advanced agents, with copy-paste templates and self-assessment quizzes.

Curated marketplace of reusable plugins, agents, skills, and commands for AI coding assistants. Works across Claude Code, Codex, Cursor, OpenCode, Copilot, and similar harnesses for immediate use.

Chinese-accessible English learning system offering thousand-hour courses, books, flashcards, structured learning paths, and a companion Enjoy app for self-study learners.

Curates 500 AI agent use cases across healthcare, finance, education, retail and other industries, linking to open-source implementations for developers exploring practical adoption.

Collection of in-depth tutorials and example projects on large language models, retrieval-augmented generation, and AI agents. Serves practitioners learning real-world design patterns through hands-on implementations.

Maintains Anthropic's official directory of high-quality Claude Code plugins, giving developers a trusted index for discovering and installing reviewed extensions.

Collection of beginner-friendly Python example scripts covering file handling, networking, automation, and everyday tasks. Helps newcomers learn practical programming by studying and modifying concise, reusable code samples.

Curated collection of more than 1,000 community and official AI agent skills, maintained for compatibility with Claude Code, Codex, Gemini CLI, Cursor, and other coding assistants.

Curated prompt-as-code library with 530+ GPT Image 2/2.5 cases, industrial templates, reusable skills, side-by-side comparisons, and full generation logs for practitioners.

Collects runnable notebooks and code demonstrating advanced retrieval-augmented generation techniques, helping LLM developers compare and learn practical RAG implementations step by step.

Open Harvard textbook on machine learning systems spanning fundamentals to embodied intelligence across four volumes, with accompanying labs, toolchains, and lecture slides.

Presents a Chinese-language tutorial explaining principles and code implementations of image classification, object detection, and segmentation networks. Includes companion videos and runnable examples for learners.

A practical guide outlining twelve engineering principles for production-grade LLM agents, covering prompts, context management, tool use, and workflows for backend and AI engineers.

Contains companion Jupyter notebooks with sample code and exercise solutions for the first edition of Hands-On Machine Learning. Now deprecated, it systematically introduced Python ML fundamentals.

Documents an open standard and usage conventions for agent skills, with format specifications and examples that help developers extend capabilities across different agent platforms.

Publishes an introductory deep learning book as executable Jupyter notebooks with an accompanying MOOC. Learners study theory and practice together through hands-on examples and exercises.

Curated collection of over 100 specialized Claude Code subagents covering diverse development tasks, installable on demand as reusable references for assisted coding workflows.

Collects practical knowledge on LLM principles and production engineering, covering training, fine-tuning, deployment, and applications. Aimed at engineers seeking tutorials and real-world implementation cases.

A collection of more than fifty generative AI agent tutorials and implementations, ranging from chatbots to multi-agent systems, intended for developers learning to build agents.

A curated index of freely available public APIs organized by domains such as advertising, finance, and maps, helping developers discover endpoints with descriptions and usage references.

Curated ranked list of 920 open-source Python machine-learning libraries grouped by quality score, updated weekly to guide library selection decisions.

A comprehensive study-note collection aggregating deep learning courses including PyTorch tutorials, hands-on deep learning, and LLM agent materials for self-directed learners.

A checklist of essential API security practices across design, testing, and release phases, covering authentication, authorization, input validation, output handling, monitoring, and operations.

A companion code collection for LearnOpenCV tutorials in C++ and Python, covering image processing, object detection, and deep learning examples for students learning computer vision systematically.

A navigational collection linking CVPR 2026 papers to their open-source implementations, organized by topics such as 3D vision and generative models for computer vision researchers.

A Chinese translation of the 100 Days of ML Code tutorial that teaches data preprocessing, regression, classification, and clustering through daily structured coding exercises for beginners.

Offers a reusable fitness dataset of 1,324 exercises with animated GIFs, thumbnails, muscle and equipment metadata, plus step-by-step instructions in six languages for app developers.

A curated quick-reference collection of commonly used Git commands, tricks, and use cases that helps developers look up workflows and improve everyday version control practice.

Prompt collection archiving jailbreak prompts for testing flagship AI models, allowing security researchers to copy reusable prompts and evaluate model refusal and safety behavior.

Code-first tutorial collection guiding developers from prototype to enterprise deployment of production-grade generative AI agents, covering memory, search, deployment, security, and evaluation practices.

Companion code for the third edition of Machine Learning for Trading, offering 27 chapters of notebooks covering data workflows through live trading examples.

Library of 277 plug-and-play Chinese AI expert roles across 20 departments, designed for users of 20 AI tools to enable multi-expert DAG collaboration through an orchestrator.

Comprehensive AI resource collection and zero-basics Vibe Coding tutorial covering large-model usage, prompting, encyclopedia knowledge, and AI programming monetization guides for programmers.

Community-driven pastel color theme offering four flavors with 26 colors each, ported to many editors and applications for users seeking consistent soft syntax highlighting.

Introductory Vibe Coding course for AI-native builders, offering multilingual visual interactive tutorials that teach learners to build real products from scratch.

Chinese tutorial and notebook collection porting all code from the Dive into Deep Learning book from MXNet to PyTorch, intended for students learning deep learning implementation.

Official repository for Qiu Xipeng's Neural Networks and Deep Learning textbook, offering second-edition and general-audience e-books, chapter outlines, and guided learning paths for students.

Reference checklist documenting native JavaScript replacements for Lodash and Underscore methods, plus an ESLint plugin to detect redundant imports and help developers reduce dependencies.

Companion teaching materials and code examples for a zero-to-mastery PyTorch deep learning course, covering fundamentals, classification, computer vision, and transfer learning topics.

Open e-book for LLM training engineers systematically covering hardware selection, orchestration, debugging practices, scripts, and hands-on guidance for large-model training, fine-tuning, and inference.

Meta's official Llama building guide offering example recipes and tutorials covering inference, fine-tuning, RAG, and end-to-end application scenarios for developers.

Introductory book on LLM fundamentals from Zhejiang University, systematically covering neural networks, Transformers, pretraining, prompting, and frontier topics through chapter PDFs.

A tutorial collection summarizing frequently tested machine learning, deep learning, and NLP concepts with code implementations, aimed at algorithm engineers preparing interviews and strengthening fundamentals.

Official Google Cloud example repository for generative AI, providing notebooks, code samples, and demo apps that illustrate Gemini and Agent Platform usage for cloud developers.

Open-source introductory course on Model Context Protocol for developers, using multilingual hands-on examples from session setup to service orchestration for modular AI workflows.

Curated list of startup tools and services recommended across Hacker News and other communities, covering business, marketing, productivity, technical SaaS and self-hosted options.

Chinese tutorial collection for Hung-yi Lee's deep learning course, including companion PDF lecture notes for systematic study of deep learning theory and practice.

A curated awesome-list of plugins for DeepSeek Harness, indexing available community plugins in one discoverable collection.

Curated list of practical skills for automating workflows with the Codex CLI and API, including unified installation and usage guidance for developers.

Community-maintained Ruby coding style guide offering chapter-organized best practices and code examples to help developers write consistent, readable Ruby code.

A free open-source SaaS starter kit with auth, payments, emails and storage for shipping products quickly.

Introductory tutorial series on harness engineering with fourteen lessons and eight hands-on projects covering loop state validation and graph engineering techniques for beginners.

Practical data engineering guidebook for learners, systematically covering core skills and cloud practices while curating case studies, datasets, interview questions, and recommended courses.

Curated list collecting open-source video games and open-source remakes of commercial titles. Organized by genre with links to official sites and source repositories for players and contributors.

Curated learning collection gathering translated tutorials on machine learning, deep learning, Golang, PostgreSQL, distributed systems, and databases for self-directed developers and students.

Study notes organizing knowledge systems and interview questions for LLM applied algorithm engineers, supporting systematic review and exam preparation for job seekers.

A curated repository collecting leaked system prompts from mainstream LLM services, enabling researchers to study prompt design, compare behaviors, and verify findings.

A curated resource list for systematic and quantitative trading, covering libraries, strategies, books, blogs, and tutorials. Helps researchers and traders find research-to-production tools alongside paper reproductions and backtest statistics.

Repository providing full and chapter-wise PDF versions of MIT deep learning textbook for convenient offline reading and study of theory and methods.

Beginner-oriented tutorial for developers learning large language model application development. Covers LLM principles, prompting, RAG, and agents with code examples and online reading.

Curates over 10,000 searchable Nano Banana Pro prompts for Google Gemini image generation, each with preview images and support for 16 languages for reuse.

Curated collection of notable lectures across deep learning, reinforcement learning, vision, and NLP. Serves self-learners seeking organized video resources for systematic study.

Resource library continuously extracting and organizing Claude Code versioned system prompts, built-in tools, and sub-agent prompts, with token statistics and changelogs.

Teaching project built on PocketFlow that turns GitHub repositories into searchable knowledge bases. Analyzes core abstractions and generates visualized beginner tutorials automatically.

Ranking project tracking GitHub repositories by stars and forks per programming language, automatically updating daily Top 100 lists to help discover popular open-source projects.

Collection of C++ examples and demos for the Vulkan graphics and compute API, covering basic to advanced rendering techniques for developers learning Vulkan programming.

A comprehensive RAG learning guide from Datawhale systematically covering retrieval-augmented generation principles, retrieval workflows, and practical LLM application development tutorials.

Generator producing original ARC-AGI-1-style reasoning tasks matched to the public evaluation distribution, helping researchers test genuine generalization of frontier models.

Official collection of example notebooks demonstrating how to build, train, fine-tune, and deploy machine learning models on Amazon SageMaker for data scientists and ML engineers.

Hands-on educational project implementing Transformers in pure PyTorch from scratch, covering pretraining through alignment and evaluation with single-GPU training and conversational inference.

A curated awesome list navigating the opencode ecosystem, collecting plugins, themes, agents, projects, and learning resources in one central place.

Curated collection of deep learning techniques for satellite and aerial imagery, organizing architectures, models, and method links for classification, segmentation, and detection tasks.

Collects more than forty-five practical tips for using Claude Code, from basics to advanced techniques, plus reusable status scripts and development workflow skills for everyday coding.