AI Agent Skills

This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handof…

14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.

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 🔥

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

Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules fil…

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…

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

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…

Open-source context retrieval layer for AI agents

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure