⚡ shanraisshan/claude-code-best-practice is making waves. Here's the full picture.

🔗 https://github.com/shanraisshan/claude-code-best-practice
📝 from vibe coding to agentic engineering - practice makes claude perfect
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The shanraisshan/claude-code-best-practice GitHub repository is a comprehensive resource for Claude Code best practices, providing a wide range of features, tools, and guidelines for effective Claude Code usage. The repository covers key concepts such as subagents, commands, skills, and workflows, as well as more advanced topics like hooks, mcp servers, and plugins.

To get started, users can explore the best-practice and implementation sections, which offer step-by-step guides and real-world examples. The repository also includes a list of hot features, such as ultrareview, devcontainers, and channels, which are constantly being updated and improved.

The target audience for this repository includes developers, engineers, and anyone looking to improve their Claude Code skills and knowledge. With its extensive documentation and community-driven approach, the shanraisshan/claude-code-best-practice repository is an essential resource for anyone working with Claude Code.

In a nutshell: Master Claude Code with this ultimate guide and take your coding skills to the next level.

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📌 Spotted on GitHub Trending: revfactory/harness — let's break it down.

🔗 https://github.com/revfactory/harness
📝 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
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Harness is a team-architecture factory for Claude Code that generates agent teams and skills based on 6 pre-defined team-architecture patterns. With Harness, you can create complex task workflows by simply saying "build a harness for this project". The plugin automatically generates agent definitions and skills tailored to your domain, leveraging Claude Code's agent team system.

Key features include Agent Team Design with 6 architectural patterns, Skill Generation with Progressive Disclosure, Orchestration for inter-agent data passing, and Validation for trigger verification and testing.

To use Harness, simply install the plugin, trigger it with a prompt like "Build a harness for this project", and it will generate the necessary agent teams and skills. The plugin structure includes a plugin.json manifest, SKILL.md skill definitions, and references for agent design patterns and team examples.

Harness is part of the Claude Code ecosystem, coexisting with other repositories like Archon and meta-harness. It's ideal for users who need to design complex task workflows and want to leverage the power of agent teams and skills.

One-liner takeaway: Harness revolutionizes team-architecture design in Claude Code by generating agent teams and skills with just a simple prompt, making it a game-changer for complex task workflow creation.

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🔍 Deep-diving into jamiepine/voicebox — fresh off the trending list.

🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
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Voicebox is an open-source AI voice studio that allows users to clone voices, generate speech, dictate into any app, and talk to agents in voices they own. The key features of Voicebox include 7 TTS engines, voice cloning and preset voices, 23 languages, post-processing effects, and unlimited length for speech generation.

To use Voicebox, simply download the app from the official website, and follow the installation instructions for your platform. The app is available for macOS, Windows, and Linux, with Docker support also available.

The technical highlights of Voicebox include its native performance, built with Tauri (Rust), and its API-first approach, with a REST API and a built-in MCP server.

Voicebox is designed for anyone who wants to work with AI voice technology, from developers and researchers to content creators and hobbyists. With its complete privacy and local-first approach, Voicebox is an attractive option for those who value data privacy and security.

In short, Voicebox is a powerful tool for anyone looking to unlock the full potential of AI voice technology - and with its open-source approach, the possibilities are endless.

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🚀 Meet JCodesMore/ai-website-cloner-template: a gem from today's GitHub trending list.

🔗 https://github.com/JCodesMore/ai-website-cloner-template
📝 Clone any website with one command using AI coding agents
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The AI Website Cloner Template is a reusable template that helps you reverse-engineer any website into a modern Next.js codebase using AI coding agents. With this template, you can point it at a URL, run the /clone-website command, and your AI agent will inspect the site, extract design tokens and assets, write component specs, and reconstruct every section.

The template is designed to work with a variety of AI coding agents, including Claude Code, Codex CLI, and OpenCode. To get started, simply create a new repository from the template, install the dependencies, start your AI agent, and run the /clone-website skill with the target URL.

The template uses a range of technologies, including Next.js 16, shadcn/ui, and Tailwind CSS v4. It's suitable for a range of use cases, including platform migration, lost source code recovery, and learning. However, it's not intended for phishing, impersonation, or passing off someone's design as your own.

The project structure is well-organized, with separate directories for components, utilities, and types. There are also several commands available for building, linting, and type-checking the code.

Overall, the AI Website Cloner Template is a powerful tool for anyone looking to reverse-engineer a website and rebuild it in a modern codebase. Clone a website in minutes, not months.

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🔍 Deep-diving into byoungd/English-level-up-tips — fresh off the trending list.

🔗 https://github.com/byoungd/English-level-up-tips
📝 An advanced guide to learn English which might benefit you a lot 🎉 . 人生进阶指南 离谱的人生 离谱的英语学习指南/英语学习教程/英语学习/学英语
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The English-level-up-tips GitHub repository is a comprehensive guide to learning English, created with the goal of helping individuals improve their language skills. The repository is divided into several chapters, each focusing on a different aspect of language learning, such as understanding, vocabulary, listening, reading, speaking, and writing.

The repository also features an AI chapter that has been updated to 2026, which provides a systematic approach to using AI in language learning, including how to use Gemini as the main engine and how to design a training loop that incorporates ChatGPT, Claude, Perplexity, and DeepL Write.

The guide is designed to be a valuable resource for anyone looking to improve their English skills, and it is available to read online on various platforms, including GitHub Pages and GitBook.

The creator of the repository, byoungd, has made it available under a Creative Commons license, and it is free to use and share.

In short, this repository is an excellent resource for English language learners, and its AI-powered approach makes it a standout in the field - so, learn English like you mean it.

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⚡ DeusData/codebase-memory-mcp is making waves. Here's the full picture.

🔗 https://github.com/DeusData/codebase-memory-mcp
📝 High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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The codebase-memory-mcp GitHub repository is home to the fastest and most efficient code intelligence engine for AI coding agents. This engine is capable of full-indexing an average repository in milliseconds and answering structural queries in under 1ms.

Key features include high-quality parsing through tree-sitter AST analysis across 158 languages, Hybrid LSP semantic type resolution for 9 languages, and a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links.

Usage is straightforward, with a one-line install command for macOS, Linux, and Windows, and a simple install command to configure MCP server entries and instruction files for 11 coding agents.

Technical highlights include a RAM-first pipeline with LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching, resulting in extreme indexing speed and low memory usage.

This project is suitable for developers and researchers looking to improve their code exploration and development workflow.

In a nutshell, codebase-memory-mcp is a game-changer for coding agents, offering unparalleled speed and efficiency - Index your codebase in milliseconds and supercharge your coding experience!

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💡 NousResearch/hermes-agent just hit the trending charts — here's why it matters.

🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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Hermes Agent is a self-improving AI agent that learns from experience, improves its skills, and builds a deep understanding of its users. With a built-in learning loop, it creates skills from experience, improves them during use, and searches its own past conversations. Key features include:
- A real terminal interface with multiline editing and conversation history
- Cross-platform support for Telegram, Discord, Slack, WhatsApp, Signal, and CLI
- Scheduled automations with a built-in cron scheduler
- Support for various models from different providers, including Nous Portal, OpenRouter, and Hugging Face

To get started, users can install Hermes Agent using a curl command or a PowerShell script, and then configure the agent using the hermes setup command. The agent can be run on a variety of platforms, including Linux, macOS, Windows, and cloud infrastructure.

With its flexible architecture and user-friendly interface, Hermes Agent is designed for users who want a powerful and customizable AI assistant. Whether you're a developer, researcher, or simply looking for a smarter way to interact with AI, Hermes Agent is definitely worth checking out.
One-liner takeaway: With Hermes Agent, you can have a personalized AI assistant that learns and adapts to your needs, all while being easy to use and customize.

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🌟 affaan-m/ECC caught my eye on GitHub Trending today.

🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC GitHub repository is an innovative project that introduces an agent harness operating system designed for agentic work. At its core, ECC is a comprehensive system that encompasses skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. This system is built on top of real-world multi-harness engineering workflows and is compatible with various AI agent harnesses, including Codex, Claude Code, and GitHub Copilot.

ECC provides a range of features, including production-ready agents, skills, hooks, rules, and legacy command shims, all of which have been developed and refined over 10+ months of intensive daily use in building real products. The repository is well-documented, with guides available in multiple languages, including English, Português (Brasil), 简体中文, and many others.

The ECC system is designed to be language-agnostic, supporting a wide range of programming languages, including TypeScript, Python, Go, Java, and Perl. It also features a cross-harness architecture, allowing for seamless integration with different AI agent harnesses.

The repository has a strong focus on security, with features like AgentShield and security scanning to protect against potential threats. Additionally, ECC has a community-driven approach, with a Discord community and GitHub App available for users to interact with the project and its maintainers.

Overall, the ECC repository is an exciting project that has the potential to revolutionize the way we work with AI agents. With its comprehensive features, language-agnostic design, and strong focus on security, ECC is an excellent choice for developers and researchers looking to harness the power of AI in their work.

One-liner takeaway: ECC is a game-changing agent harness operating system that's poised to transform the way we work with AI agents, and it's available now on GitHub.

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