AI Agent Skills

Self improving agentic rag pipeline

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Data-Driven Evaluation for LLM-Powered Applications

LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

An AI Powered README and Interactive Wiki Generator for Any Projects. AI驱动的README及交互式Wiki生成工具，面向中文的开源DeepWiki。

Use to close the loop after review — verify the feature actually works, write the changelog / knowledge-base note, and open the pull request. Triggers on "ship {slug}",…

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomati…

Agentic RAG, Multi-Agent Systems, and Vision Reasoning are three pipelines to find the perfect LLM

Use when installing, configuring, or troubleshooting the official Neo4j MCP server

[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

Use when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend…

Applies the reasoning style of Daphne Koller (machine learning pioneer, co-founder of Coursera, founder and CEO of Insitro). Use this skill whenever you encounter proble…

Bootcamp to learn Python for Machine Learning

A simple "Be My Eyes" web app with a llama.cpp/llava backend

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.