18 skills found
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
Rath-Team / OpenRathAn open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
kwon416 / real-estimate-AIPython RAG LangChain + 부동산 통계 정보 open API 챗봇 프로젝트
Nikunj2003 / LLaMa-MCP-StreamlitAI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).
HaseebKhalid1507 / VelociRAGLightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
NirDiamant / agents-towards-productionEnd-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
symgraph / BinAssistMCPBinary Ninja plugin to provide MCP functionality.
datalayer / jupyter-mcp-server🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
NirDiamant / GenAI_Agents50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
MCPBlender / blender-mcp🎨 Control Blender 3D with Claude AI — prompt-driven 3D modeling, materials & scene generation via MCP
pandazki / pneuma-skillsCo-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.
wuyoscar / GPT-Image2-SkillGPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI for OpenAI image generation/editing
uiuc-kang-lab / hyperparamsGuide for hyperparameter selection — learning rate formulas, LoRA rank, batch size, group size, schedules, and model-specific tuning
PatrickJS / automl-hyperparameter-optimizationAutoML and hyperparameter optimization rules for Python ML projects using Ray Tune, Optuna, PyCaret, and time-series AutoML libraries
graphlit / graphlit-mcp-serverModel Context Protocol (MCP) Server for Graphlit Platform
scraperapi / scraperapi-skillsScraperAPI's Agent Skills.
Dataojitori / nocturne_memoryA lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
Dimokat / Antigravity_Optimizer_MCPA local RAG-powered Model Context Protocol (MCP) server using Qdrant and FastEmbed to help AI coding agents navigate, understand, and optimize large codebases.