Github Top Repositories
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🚀 Meet Nutlope/hallmark: a gem from today's GitHub trending list.
🔗 https://github.com/Nutlope/hallmark
📝 Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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The Hallmark GitHub repository offers a unique design skill for Claude Code, Cursor, and Codex that generates human-like designs. Its key features include twenty themes, four verbs (
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/Nutlope/hallmark
📝 Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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The Hallmark GitHub repository offers a unique design skill for Claude Code, Cursor, and Codex that generates human-like designs. Its key features include twenty themes, four verbs (
*(default)*, hallmark audit <target>, hallmark redesign <target>, and hallmark study <screenshot | URL>), and a custom mode for tailored designs. To use Hallmark, simply install it with npx skills add nutlope/hallmark and access its various features. From a technical standpoint, Hallmark utilizes a macrostructure, applies a rule-set, and runs a slop test to ensure high-quality designs. This repository is perfect for developers and designers looking to create unique, non-template-based designs. In short, Hallmark is a game-changer for design skills - it's like having a human designer in your code.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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🎯 github/copilot-sdk landed on trending. Worth a proper look.
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK allows you to embed Copilot's agentic workflows in your application, leveraging the same engine behind Copilot CLI. With SDKs available for
To get started, install the SDK for your preferred language, then follow the getting started guide for a walkthrough of the process. The SDK communicates with the Copilot CLI server via
Key features include support for BYOK (Bring Your Own Key), custom agents, skills, and tools, as well as multiple authentication methods. The SDK is production-ready, following semantic versioning, and is suitable for developers looking to integrate Copilot's functionality into their applications.
In short, the GitHub Copilot SDK is a powerful tool for streamlining development - integrate it into your workflow and let the AI do the heavy lifting.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK allows you to embed Copilot's agentic workflows in your application, leveraging the same engine behind Copilot CLI. With SDKs available for
Python, TypeScript, Go, .NET, Java, and Rust, you can define agent behavior and let Copilot handle planning, tool invocation, and more. To get started, install the SDK for your preferred language, then follow the getting started guide for a walkthrough of the process. The SDK communicates with the Copilot CLI server via
JSON-RPC, managing the CLI process lifecycle automatically.Key features include support for BYOK (Bring Your Own Key), custom agents, skills, and tools, as well as multiple authentication methods. The SDK is production-ready, following semantic versioning, and is suitable for developers looking to integrate Copilot's functionality into their applications.
In short, the GitHub Copilot SDK is a powerful tool for streamlining development - integrate it into your workflow and let the AI do the heavy lifting.
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🧠 Channel: https://t.iss.one/GithubRe
💡 anthropics/cwc-workshops just hit the trending charts — here's why it matters.
🔗 https://github.com/anthropics/cwc-workshops
📝 No description.
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The anthropics/cwc-workshops GitHub repository offers a collection of workshop materials from Anthropic's Code with Claude sessions. The
These workshops cover a range of topics, from picking the right model to composing multi-agent systems and shipping managed agents. The repository also includes materials on Claude coding, agent battles, and eval-driven agent development.
The target audience appears to be developers interested in AI-assisted coding and agent development.
One key takeaway: Explore the possibilities of coding with Claude through these engaging workshops and take your agent development skills to the next level.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/anthropics/cwc-workshops
📝 No description.
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The anthropics/cwc-workshops GitHub repository offers a collection of workshop materials from Anthropic's Code with Claude sessions. The
workshops directory contains various projects, including rightmodel, agent-decomposition, and ship-your-first-managed-agent, each focusing on a different aspect of coding with Claude. These workshops cover a range of topics, from picking the right model to composing multi-agent systems and shipping managed agents. The repository also includes materials on Claude coding, agent battles, and eval-driven agent development.
The target audience appears to be developers interested in AI-assisted coding and agent development.
One key takeaway: Explore the possibilities of coding with Claude through these engaging workshops and take your agent development skills to the next level.
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🧠 Channel: https://t.iss.one/GithubRe
⚡ PrismML-Eng/Bonsai-demo is making waves. Here's the full picture.
🔗 https://github.com/PrismML-Eng/Bonsai-demo
📝 Bonsai Demo
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The Bonsai-demo repository on GitHub is a demo for the Bonsai and Ternary-Bonsai language models. The purpose of this repo is to allow users to run these models locally on their machines, supporting various platforms including Mac, Linux, Windows, and CPU.
The key features of the Bonsai-demo include vision-language models, agentic tool calling, and reasoning models. The vision-language models can process images, screenshots, and PDFs, while the agentic tool calling feature enables native OpenAI-style tool calls. The reasoning model allows users to pick the reasoning effort per chat or budget it per request.
To use the Bonsai-demo, users can follow the
The technical highlights of the Bonsai-demo include its support for
The target audience for the Bonsai-demo appears to be developers and researchers interested in natural language processing and vision-language models.
In summary, the Bonsai-demo repository provides a powerful tool for running Bonsai and Ternary-Bonsai language models locally, with features like vision-language processing and agentic tool calling, making it an exciting project for NLP enthusiasts: Experience the future of AI with Bonsai-demo!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/PrismML-Eng/Bonsai-demo
📝 Bonsai Demo
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The Bonsai-demo repository on GitHub is a demo for the Bonsai and Ternary-Bonsai language models. The purpose of this repo is to allow users to run these models locally on their machines, supporting various platforms including Mac, Linux, Windows, and CPU.
The key features of the Bonsai-demo include vision-language models, agentic tool calling, and reasoning models. The vision-language models can process images, screenshots, and PDFs, while the agentic tool calling feature enables native OpenAI-style tool calls. The reasoning model allows users to pick the reasoning effort per chat or budget it per request.
To use the Bonsai-demo, users can follow the
Quick Start guide, which involves cloning the repository, setting environment variables, and running the setup.sh script. The repo supports various model sizes, including 27B, 8B, 4B, and 1.7B, and users can switch between the Ternary and 1-bit families.The technical highlights of the Bonsai-demo include its support for
GGUF (llama.cpp) and MLX 1-bit formats, as well as its compatibility with various backends, including CPU, Metal, CUDA, and Vulkan. The demo also provides a VISION.md guide for using the vision-language models and a TOOLS.md guide for using the agentic tool calling feature.The target audience for the Bonsai-demo appears to be developers and researchers interested in natural language processing and vision-language models.
In summary, the Bonsai-demo repository provides a powerful tool for running Bonsai and Ternary-Bonsai language models locally, with features like vision-language processing and agentic tool calling, making it an exciting project for NLP enthusiasts: Experience the future of AI with Bonsai-demo!
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🧠 Channel: https://t.iss.one/GithubRe
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💡 protocolbuffers/protobuf just hit the trending charts — here's why it matters.
🔗 https://github.com/protocolbuffers/protobuf
📝 Protocol Buffers - Google's data interchange format
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The Protocol Buffers project, also known as protobuf, is a language-neutral and platform-neutral data interchange format developed by Google. The protobuf project enables you to serialize structured data, making it a versatile tool for various applications.
To get started, you can install the protocol compiler (
The project uses
The Protocol Buffers project has a strong focus on community and support, with a developer guide, tutorials, and a Google Group for connecting with other developers and users.
One-liner takeaway: Master Protocol Buffers to unlock efficient data serialization and deserialization across languages and platforms!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/protocolbuffers/protobuf
📝 Protocol Buffers - Google's data interchange format
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The Protocol Buffers project, also known as protobuf, is a language-neutral and platform-neutral data interchange format developed by Google. The protobuf project enables you to serialize structured data, making it a versatile tool for various applications.
To get started, you can install the protocol compiler (
protoc) and the protobuf runtime for your chosen programming language. The project supports multiple languages, including C++, Java, Python, and more. You can find installation instructions and documentation for each language in the corresponding source directory.The project uses
Bazel as its build tool, and you can use Bzlmod or WORKSPACE to manage dependencies. For example:bazel_dep(name = "protobuf", version = <VERSION>)
The Protocol Buffers project has a strong focus on community and support, with a developer guide, tutorials, and a Google Group for connecting with other developers and users.
One-liner takeaway: Master Protocol Buffers to unlock efficient data serialization and deserialization across languages and platforms!
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🧠 Channel: https://t.iss.one/GithubRe