208 skills found · Page 1 of 7
x1xhlol / System Prompts And Models Of AI ToolsFULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
OpenMOSS / MOSSAn open-source tool-augmented conversational language model from Fudan University
facebookarchive / Augmented Traffic ControlAugmented Traffic Control: A tool to simulate network conditions
lupantech / AgentFlowAgentFlow: In-the-Flow Agentic System Optimization
octotools / OctotoolsOctoTools: An agentic framework with extensible tools for complex reasoning
devbisme / Kicad 3rd Party ToolsSoftware tools/utilities made by others to augment the KiCad PCB EDA suite.
Bessouat40 / RAGLightRAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
parrt / BookishA tool that translates augmented markdown into HTML or latex
sjtu-sai-agents / X MasterOfficial implementation of X-Master, a general-purpose tool-augmented reasoning agent.
rimulu030 / GamewikiAn intelligent Wiki overlay tool designed specifically for gamers, featuring GEMINI-powered RAG (Retrieval-Augmented Generation) capabilities for smart Q&A services.
Ber666 / ToolkenGPTToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)
Ayanami0730 / AragA-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
Brandon-c-tech / RAG LoggerRAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on RAG-specific logging needs.
piyushpathak03 / Recommendation SystemsRecommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
OpenGVLab / ControlLLMControlLLM: Augment Language Models with Tools by Searching on Graphs
vagmr / Augment Code FreeA simple tool to help you better use augment
gomate-community / RagevalEvaluation tools for Retrieval-augmented Generation (RAG) methods.
gmh5225 / Aug Cleaner清除 Augment Code VSCode 扩展中的遥测和跟踪机制 | A privacy-focused tool to clean telemetry and tracking from Augment Code VSCode extension while preserving full functionality.
ruvnet / FACTFACT – Fast Augmented Context Tools: FACT is a lean retrieval pattern that skips vector search. We cache every static token inside Claude Sonnet‑4 and fetch live facts only through authenticated tools hosted on Arcade.dev. The result is deterministic answers, fresh data, and sub‑100 ms latency.
EliFuzz / Awesome System PromptsA collection of system prompts and tool definitions from various AI coding agents: Augment Code, Claude Code, Cluely, Cursor, Devin AI, Kiro, Perplexity, VSCode Agent, Gemini, Codex, OpenAI
