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πŸ“¦ justinwetch/higagentskills

HIG Agent Skills

Give your favorite AI agent the power to design flawless apps that look and feel exactly like native Apple software without burning through your context budget. The higagentskills repository condenses the massive, text-heavy Apple Human Interface Guidelines into a set of hyper-focused, information-dense reference files. Instead of wasting thousands of tokens on fluff, it uses a clever keyword-routing system to feed your agent only the exact rules, measurements, and design principles it needs for a specific prompt. It is like giving your AI assistant a pocket cheat sheet of Apple's secret design playbook so it can build perfectly styled apps on the first try.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ alpindale/gpt2.cmake

GPT-2 in CMake

Run the GPT-Two language model inside your build system configuration tool using pure CMake scripts. Yes, someone actually built a fully functioning neural network runner using nothing but the tool developers normally use just to compile C++ code. It bypasses heavy machine learning frameworks entirely, executing the model's math with fixed-point integer arithmetic during your build setup. You just download the standard model files, run a preparation script, and let your compiler configuration generate text. It is a completely absurd, brilliantly useless hack that shows just how far you can push a basic build tool when you are bored.

πŸ“° https://news.ycombinator.com/item?id=49412909

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jetbrains/go-modern-guidelines

go-modern-guidelines

The guidelines extension that keeps AI coding agents from generating outdated Go code. When you ask models to write Go, they constantly fallback to old habits, like writing nested loops instead of using modern slice utilities, mostly because their training data is stuffed with legacy patterns. This clever project from JetBrains solves that by injecting explicit rules directly into tools like Claude Code and Cursor. It forces your AI to swap out ancient boilerplate for clean, native features from recent Go releases. Now your agent automatically writes modern code on the very first try, meaning you have way less junk to refactor later.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ yashmulgaonkar/flightscnr_pi

FlightScnr Pi

FlightScnr Pi is the hardware tracking system that turns a Raspberry Pi and a round touch display into a beautiful, dedicated radar station for your desk. By combining live aircraft data with real-time marine traffic, this project maps out everything moving in the sky and on the water right around you. You can swipe through detailed flight paths, check weather conditions, overlay local wildfire maps, and even stream live air traffic control audio straight to a speaker. Everything is controlled through a local web portal, giving you a custom, interactive radar without typing a single terminal command.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jdilla1277/agentcad

AgentCAD

Your coding agent can now design physical three dimensional models directly from your workspace. AgentCAD is a local command line tool and Model Context Protocol server that gives artificial intelligence coding assistants the ability to execute Python scripts, export step files, and generate high-quality three dimensional renders. It automatically provides interactive browser previews and side-by-side volume comparisons so you can visually verify every design iteration. It runs entirely locally with zero configuration required, translating complex geometric metrics into clean structured data that your developer agent can easily parse. Just install it and let your agent handle the math while you watch your physical designs come to life.

πŸ“° https://news.ycombinator.com/item?id=48381402

πŸ†” @hackernewsgithubprojects
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πŸ“¦ johannhotzel/molecules

Molecules

You can turn any 3D mesh in Unity into a squishy, fully interactive soft body that explodes on command. A project called Molecules makes this possible by running a massive particle physics simulation entirely on your graphics card. Instead of relying on slow CPU calculations, it uses advanced math and GPU compute shaders to handle thousands of wobbling particles, custom collisions, and structural constraints in real time. It can even voxelize 3D models on the fly, turning solid shapes into bouncy, jelly-like structures you can poke and blast apart. It is a remarkably clever way to bring highly reactive, satisfying soft-body physics to your game engine.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ miaai-lab/qwen3.8-flash-next-dual-dgx-sparks

Qwen3.8 Flash Next Dual DGX Sparks

Qwen3.8-flash-next-dual-dgx-sparks is the serving recipe that squeezes an insane three-fold increase in active memory out of powerful AI hardware. By squeezing the key-value cache down to a tiny four-bit format, this configuration lets you fit almost three million tokens into memory where you used to only get nine hundred thousand. It pushes context limits up to a massive one million tokens while keeping retrievals completely accurate up to one hundred and twenty-eight thousand. It is a clever way to run huge, fast models on high-end chips without running out of breathing room. Fire up this setup to supercharge your large-scale language model workloads today.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tolitius/cupel

Cupel: The Ultimate Local LLM Benchmarking Tool

Score local and cloud language models on your own machine using custom prompts and automated judges. Instead of guessing which open-source model actually works for your specific task, this tool lets you run structured, multi-turn evaluations using an automated grading rubric from zero to three. It auto-discovers local servers running on your machine, handles complex reasoning models by isolating their thinking blocks, and serves up a beautiful web dashboard. You get clear leaderboards tracking accuracy, speed, and cost side-by-side. It is the perfect way to stop guessing and start measuring. Search for cupel on GitHub to start grading.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ get-concord-ai/concord-mcp

Concord MCP

Concord MCP is the open-source communication layer that finally lets different AI coding agents talk directly to each other inside your repository. If you are running multiple tools like Claude Code, Cursor, or Gemini at the same time, they normally operate in total isolation, leading to overwritten files and wasted effort. This clever local tool acts as a shared Model Context Protocol server that gives your agents a unified workspace. It allows them to claim files before editing, send live coordinate messages, and hand off tasks with full context and history. You get a clean, keyboard-driven dashboard to watch your AI team collaborate in real time without any messy conflicts.

πŸ“° https://news.ycombinator.com/item?id=49464704

πŸ†” @hackernewsgithubprojects
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πŸ“¦ gauthierpiarrette/highball

Highball

You can now check if your favorite Windows games will run on Apple Silicon before downloading a single byte. Highball is a free, open source Mac application that sets up translation environments, installs Steam, and hooks up your Epic Games library with one click. What makes it special is its open, public database. Instead of guessing or relying on vague promises, Highball displays detailed compatibility verdicts right on your game cards, showing exactly which renderer to use and highlighting games blocked by kernel anti-cheat. It is an incredibly clever, community-driven tool that makes playing Windows games on Apple Silicon completely transparent.

πŸ“° https://news.ycombinator.com/item?id=49450662

πŸ†” @hackernewsgithubprojects
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πŸ“¦ humanlayer/skills

HumanLayer Skills

Skills is the command-line helper that turns Claude Code into a highly capable automation agent for your specific repository. Instead of giving your AI coding assistant generic prompts, you can install specialized, local skills directly into your codebase. It can analyze your actual code paths to clean up sloppy React properties, refine your instruction files, and even set up recurring GitHub Actions that run unattended coding loops safely bounded to a single pull request. It is the perfect way to let an AI assistant handle repetitive maintenance tasks without making a mess of your project.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ warpdotdev/common-skills

Common Skills

Share reusable workflows across all your agentic repositories without duplicating code. Instead of writing custom instructions for every project, this repository lets you centralize common developer tasks like writing technical specs, diagnosing continuous integration failures, and reviewing pull requests into a single, shareable library. But the single most entertaining feature is a skill called complain, which lets frustrated software agents autonomously yeet raw, unstructured, and completely anonymous complaints directly into a Slack channel whenever they are annoyed by their tooling. It is the perfect way to build a smarter, more aligned, and hilariously expressive network of AI helpers across your entire organization.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ armpro24-blip/cad-cae-copilot

cad-cae-copilot

Turn a written engineering specification into actual, editable three-dimensional models instead of just pretty pictures. This clever tool sets up an assistant for your favorite AI agent, letting it generate real geometry using professional design kernels. Your agent can write precise parameters, name individual parts, map stable face pointers, and even run stress simulations to verify the design works. Everything is preserved in a neat, reproducible engineering package. It is the perfect way to let an artificial intelligence handle the tedious math and modeling of physical parts while you focus on the big picture.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ devkitshq/notifkit

Notifkit

You can now handle emails, SMS, push notifications, and webhooks with a single typed API call that is completely self-hosted inside your own stack. This open source infrastructure is called notifkit, and it acts as a central brain for your product notifications. Instead of manually writing complex code for retries, timezone-aware quiet hours, user opt-outs, and channel fallbacks, you let this engine run the show. It sits directly on top of your PostgreSQL and Redis databases to orchestrate everything behind the scenes. Best of all, it even includes an AI-agent-compatible server, meaning your development assistants can actually send updates or diagnose delivery failures on their own.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ pixel-agents-hq/pixel-agents

Pixel Agents

Turn those boring command line AI agents running in your terminal into animated pixel art characters working in a miniature virtual office. This project monitors your active AI sessions and translates their real-time operations into visual actions. You will watch your digital assistants walk over to their desks, sit down, type when they are editing files, read when they are searching, and pop up speech bubbles when they are waiting for your permission. You can even design the office layout with custom floors, walls, and furniture. It is the perfect way to make orchestrating a team of digital workers actually feel like a game.

πŸ“° https://news.ycombinator.com/item?id=49470113

πŸ†” @hackernewsgithubprojects
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πŸ“¦ sv-grid/sv-grid

sv-grid

Build lightning-fast, interactive data tables in Svelte 5 with zero lag, even when scrolling through a million rows of data. Instead of wrapping an old JavaScript library in a bulky adapter, sv-grid is written from scratch specifically for the latest Svelte runes. This gives you a tiny, highly efficient engine that handles smooth row and column virtualization, spreadsheet-style cell editing, and complex row grouping right out of the box. It even includes a dedicated helper server to let artificial intelligence assistants write and refactor your table code flawlessly. It is the ultimate tool for bringing high-performance data management to modern web applications.

πŸ“° https://news.ycombinator.com/item?id=49471036

πŸ†” @hackernewsgithubprojects
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πŸ“¦ experientiallabs/experiential

Experiential: The Gateway for AI Agents

Imagine a world where your AI agents don’t just guess which model to use, but actually learn from your real work to pick the perfect one every single time. That is exactly what Experiential does, acting as a smart gateway that sits between your code and the best AI brains available. It takes your actual usage history, studies what worked best for speed and quality, and automatically tunes its routing to save you money without sacrificing performance. This project is fascinating because it turns your daily interactions into a custom optimization engine that gets smarter the more you use it.

πŸ“° https://news.ycombinator.com/item?id=49471407

πŸ†” @hackernewsgithubprojects
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πŸ“¦ cheat2001/angkorgit

AngKorGit: The 12 MB Git Client

AngKorGit is a Git client that fits in just twelve megabytes, yet handles massive codebases with the same speed as much larger tools. Most desktop apps for version control weigh over a gigabyte, often bogging down your machine with unnecessary bloat. This open-source project uses a lightweight engine to deliver a fast, beautiful interface without the heavy price tag. It brings daily Git tasks like viewing diffs and resolving conflicts into a simple, visual workspace that feels like a native app. You can browse commit graphs, manage branches, and even let AI review your code before you commit, all while staying in complete control.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ pollen-robotics/microduck

Microduck: The Tiny Robot That Walks with AI

Microduck is the tiny biped duck robot that actually walks, stands up, and even quacks thanks to real reinforcement learning. This small, lightweight machine runs a sophisticated AI brain on a standard computer chip, driving fifteen servos to move naturally. The coolest part is its resilience: if you knock it over, it uses its sensors and learned policies to get back up on its own. It can even pick up objects with its beak and switch to a rolling mode if you attach wheels. The software is built in Rust for stability, featuring a safe update system that ensures the robot never gets bricked during an upgrade.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kelviq/tare

Tare: The Usage Detective for Claude Code

Tare acts as a digital detective for your Claude Code usage, solving the mystery of why your quotas drain so fast by reading the session logs already sitting on your machine. The tool performs a deep audit of your local activity, pinpointing exactly which files, tools, or background automations are silently consuming your tokens. It reveals the true cost of context, showing you how much is wasted when Claude re-sends old information instead of just the new input. Because everything runs locally, your private prompts and code never leave your computer, making it a safe way to diagnose limit hits.

πŸ“° https://news.ycombinator.com/item?id=49467551

πŸ†” @hackernewsgithubprojects
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πŸ“¦ texel-org/windfoil

Windfoil: The AI-Born Rendering Trick

A single AI session produced Windfoil, a new algorithm that draws crisp 2D shapes with perfect anti-aliasing. It runs on your graphics card to calculate the exact amount of ink covering each pixel. Traditional methods often guess at edges, causing blurry or jagged lines on complex drawings. This new approach uses a winding integral to handle overlapping strokes and curves without extra cleanup steps. It solves a long-standing problem where thin lines or overlapping shapes would look messy or require heavy computer preprocessing. By computing coverage directly, it offers higher quality for things like generative art and detailed typography.

πŸ“° https://news.ycombinator.com/item?id=49473043

πŸ†” @hackernewsgithubprojects