This comprehensive system optimizes AI agent performance, offering production-ready agents, skills, hooks, and MCP configurations. It's ideal for building robust, continuously learning AI agents across various platforms like Claude Code, Codex, and Gemini, ensuring high-performance, secure, and scalable AI solutions.

Claude-Mem provides a persistent memory system for Claude Code, automatically capturing tool usage, summarizing observations, and injecting relevant context into future sessions. This allows AI agents to maintain continuous knowledge of projects and past decisions across multiple interactions, significantly enhancing long-term project engagement.

This plugin provides a suite of AI skills and agents designed to make each unit of engineering work easier than the last, fostering a 'compound engineering' approach. It excels at guiding developers through planning, execution, review, and knowledge codification, reducing technical debt and improving long-term productivity.

This repository offers 45 practical tips and custom scripts to enhance your Claude Code workflow, covering everything from basic slash commands to advanced context management and external tool integrations. It's ideal for developers looking to maximize efficiency, understand Claude Code's capabilities, and streamline their AI-assisted development process.

This skill helps Claude Code build professional, polished interfaces by remembering design decisions across sessions and enforcing systematic consistency. It is ideal for crafting dashboards, applications, tools, and admin panels, ensuring every component follows established principles.

This repository offers a comprehensive, practical guide to Claude Code, covering everything from initial setup and prompt engineering to advanced topics like Skills, Hooks, MCP, and multi-agent automation. It serves as an invaluable resource for both new users seeking a guided path and power users aiming for in-depth understanding and complex workflow implementation.

This kit provides a curated marketplace of advanced context engineering techniques and patterns designed to improve AI agent result quality and predictability while minimizing token usage. It's ideal for developers seeking to enhance Claude Code agent performance with scientifically proven, token-efficient methods.

This Claude Code artifact offers a comprehensive, file-based personal health information system, enabling users to manage medical reports, track health metrics, and receive AI-driven insights. It excels in providing private, local data storage with advanced features like image recognition for reports and multi-specialty consultations, making it ideal for individuals seeking detailed, secure health oversight without cloud dependencies.

This kit provides persistent memory for Claude Code agents, solving the problem of Claude forgetting context between sessions. It features a four-layer memory architecture (daily logs, hot cache, knowledge concepts, rules) and an agent-driven promotion pipeline where patterns observed in conversations are audited and proposed for inclusion in the knowledge base or rules. The "user only talks, agent writes" principle ensures seamless operation. It supports multi-project isolation, offers silent safety hooks, and direct control via slash operators, all stored in plain text files for easy versio