16 skills found
NeuralBlitz / data-mining-interpretation-fundamentalThis skill enables interpretation in the domain of data-mining (data-science). It represents fundamental-level expertise and is designed for production use in research, industry, and educational contexts. Use this skill when you need to perform interpretation operations related to data-mining.
lanveric / clarify-critClarify (CRIT): a portable AI-skill package for request refinement
ChainAware / behavioral-prediction-mcpAI-powered tools to analyze wallet behaviour prediction,fraud detection and rug pull prediction.
lambda-capture / mcp-server🌐 MCP Server for Semantic Search of Macro Data for Quant Research AI Agents
datawhalechina / easy-vibe💻 The first course for AI-native product builders.
majiayu000 / llm-pipelinePydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
ashishps1 / learn-ai-engineeringLearn AI and LLMs from scratch using free resources
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
MercurieVV / ScalaSemanticMCP server for deep semantic analysis of Scala via SemanticDB — exact find-usages, class hierarchies, implicit resolution & call paths for AI coding agents like Claude Code. Beyond grep and standard LSP.
NeuralBlitz / univariate-programming-languages-predictionThis skill enables prediction in the domain of programming-languages (computer-science). It represents expert-level expertise and is designed for production use in research, industry, and educational contexts.
praveenc / fetchv2-mcp-serverA robust MCP server for fetching and extracting web content using Trafilatura. Optimized for AI agents with clean markdown output.
TwoWells / CatenaryGiving AI coding agents LSP-powered code intelligence.
polterguy / magicDeterministic AI agents and generated backends — MIT-licensed, self-hosted, MCP-native
blazickjp / arxiv-mcp-serverA Model Context Protocol server for searching and analyzing arXiv papers
raiyanyahya / ensembleMulti-model consensus debate via the filesystem. LLMs propose, peer-review, rebut, vote and synthesize a group-confirmed answer. CLI + MCP.
