⚡ YimMenu/YimMenuV2 is making waves. Here's the full picture.

🔗 https://github.com/YimMenu/YimMenuV2
📝 Experimental menu for GTA 5: Enhanced
──────────────────────────────

The YimMenuV2 repository is a C++20 mod menu base that serves as a learning opportunity for its creator. The project's structure is divided into three main directories: core/ for essential features, game/ for game-specific implementations, and util/ for general utility functions. This base is designed to provide a foundation for modding, with a focus on templating and experimentation. It's geared towards developers looking to explore C++20 and mod menu development. The takeaway: Learning by doing is the best way to template your way to mod menu mastery!

──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe

🌟 hasaneyldrm/exercises-dataset caught my eye on GitHub Trending today.

🔗 https://github.com/hasaneyldrm/exercises-dataset
📝 1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.
──────────────────────────────

The exercises-dataset repository, created by hasaneyldrm, is a comprehensive collection of 1,324 fitness exercises, each with an animation GIF, 180×180 thumbnail image, category, body-part, equipment, target and muscle-group data, and step-by-step instructions in 9 languages. The dataset is designed for building fitness or workout planning applications, machine learning projects, health and wellness research, and educational demonstrations.

Key features of the dataset include:
- 1,324 exercises with detailed metadata
- Animation GIFs and thumbnails for each exercise
- Step-by-step instructions in 9 languages
- Interactive browser for easy exploration of exercises

The dataset is MIT licensed, with additional media terms. It powers the LogPress app, an AI-assisted workout tracker, and can be easily integrated into other applications.

The dataset is suitable for developers, researchers, and fitness enthusiasts looking to build or enhance their fitness-related projects.

One-liner takeaway: With the exercises-dataset, you can supercharge your fitness app with a vast, high-quality collection of exercises and metadata.

──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe

🔥 apache/ossie is trending — and it deserves your attention.

🔗 https://github.com/apache/ossie
📝 Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data
──────────────────────────────

Apache Ossie is a collaborative effort to standardize semantic model exchange and utilization across data analytics, AI, and BI tools. The goal is to establish a vendor-agnostic semantic model specification for unparalleled interoperability and efficiency. This project provides a single JSON- and YAML-based specification that tools can read and write, addressing semantic fragmentation.

Key features include a core-spec for the Ossie specification, converters for translating between Ossie and other formats, and examples of semantic models. The project also offers tooling for validation against the Ossie schema.

Audience: data analysts, AI professionals, and BI practitioners seeking to streamline their workflows. To get involved, contribute code, participate in discussions, or join the Slack community.

Here's a glimpse of the code:

{
  "spec": "ossie-spec"
}

One-liner takeaway: Apache Ossie is the key to unlocking seamless data exchange and utilization across your entire tool stack!

──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe

🎯 Nutlope/hallmark landed on trending. Worth a proper look.

🔗 https://github.com/Nutlope/hallmark
📝 Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
──────────────────────────────

Hallmark is a design skill that generates unique, AI-produced web pages that don't look like they were made by a machine. With twenty themes and a range of customization options, Hallmark uses a set of design rules to create self-contained HTML + CSS pages. The skill has four main verbs: build, audit, redesign, and study, allowing users to hallmark build, hallmark audit <target>, hallmark redesign <target>, or hallmark study <screenshot | URL>. Hallmark is designed for use with Claude Code, Cursor, and Codex, and can be installed using npx skills add nutlope/hallmark. The result is a unique, human-like design that refuses to be bound by typical AI-generated templates. With Hallmark, every brief gets a unique design - no two pages are alike! One-liner takeaway: Hallmark is the AI design skill that breaks the mold of boring, cookie-cutter templates.

──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe