18 skills found
ashishps1 / learn-ai-engineeringLearn AI and LLMs from scratch using free resources
datawhalechina / easy-vibe💻 The first course for AI-native product builders.
rohitg00 / ai-engineering-from-scratchLearn it. Build it. Ship it for others.
riponcm / projectmemLocal-first AI coding memory for AI agents. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.
openklas / openklasMCP server for University Learning Management System (KLAS).
Nillkabbo / ai-learning-guide-with-projectsThis chapter teaches domain-specific prompting - embedding industry knowledge, terminology, and workflows into prompts. Students learn to create expert personas and build specialized AI systems for specific domains.
dotnet-presentations / ai-workshopBuilding GenAI Apps in C#: Microsoft Extensions for AI, Templates, Microsoft Foundry & More
PDgit12 / knitbrainThe local-first brain for coding agents: project memory + workflow intelligence + lossless ~50% context savings. MCP server + LLM proxy, zero cloud.
luochang212 / agent-projectAgent 早期探索：智能路由、任务拆解和链路工程
NPC-Worldwide / npcpyThe python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
NirDiamant / agents-towards-productionEnd-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
AElfProject / aelf-skillsUnified aelf skills hub for discovery, routing, bootstrap, and health checks across OpenClaw, Codex, Cursor, and Claude Code.
mission69b / t2000-mcpt2000's open source skills for Agentic finance development.
mor10 / fpd-mcp-workshopSupporting documents for the "Hands-On MCP: Connect Anything to AI" workshop at Future Product Days 2025
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
WenyuChiou / awesome-agentic-ai-zhA trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
hummat / paperpipeExtract equations and context from research papers for LLM coding assistants (arXiv, LaTeX, RAG)
airmcp-com / mcp-standardsSelf-learning AI standards system - learns from corrections and auto-updates CLAUDE.md
