AI Agent Skills

This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retr…

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging…

📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

An Agent Skill helping you to optimize Xcode incremental and clean builds by running benchmarks and optimizing build settings.

Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for L…

Sharper context. Fewer tokens. Open-source middleware for Claude Code.

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and…

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…

A hyperparameter optimization framework

Open-source context retrieval layer for AI agents

Portfolio Optimization in Python