Skill Base - A lightweight, privately deployable agent skills distribution hub
Skill Base CLI - 命令行工具，用于搜索、安装、更新和发布 AI Agent Skills
The open agent skills ecosystem
Skillflag producer CLI reference implementation.
The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post).
A fully-featured caching GraphQL client.
Tlon/Urbit skill for OpenClaw agents
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
Resolve a URI relative to an optional base URI
The **[Google Generative AI provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Generative AI](https://ai.google/discover/generativeai/)
This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
This package provides building blocks to create framework-level integration of Apollo Client with React's streaming SSR. See the [@apollo/client-integration-nextjs](https://github.com/apollographql/apollo-client-integrations/tree/main/packages/nextjs) pac
The **[Google Vertex provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs.
The **[xAI Grok provider](https://ai-sdk.dev/providers/ai-sdk-providers/xai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the xAI chat and completion APIs.
Basic layout model and some utilities for Cytoscape.js layout extensions
Core module for compound spring embedder based layout styles
The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Mistral chat API.
The **[Amazon Bedrock provider](https://ai-sdk.dev/providers/ai-sdk-providers/amazon-bedrock)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Amazon Bedrock [converse API](https://docs.aws.amazon.com/bedrock/latest/APIR
The **[Azure provider](https://ai-sdk.dev/providers/ai-sdk-providers/azure)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Azure OpenAI API.
The **[DeepSeek provider](https://ai-sdk.dev/providers/ai-sdk-providers/deepseek)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [DeepSeek](https://www.deepseek.com) platform.
Scaffold AI agent skills quickly with the Build Skill CLI.
The **[Perplexity provider](https://ai-sdk.dev/providers/ai-sdk-providers/perplexity)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for Perplexity's Sonar API - a powerful answer engine with real-time web search capabilities.
Core utilities and common functionality for SpacetimeDB-based game development.
Dynamic task queue execution engine for motosan-workflow
A powerful Rust-based browser automation framework
Universal browser control protocol for AI agents — MCP native, multi-browser (Chrome + Firefox)
High-performance coding agent toolkit MCP server
A Git extension for managing pair programming sessions with per-branch co-author configuration
YAML-configurable output compressor for LLM token optimization
Ergonomic Rust bindings for the Kiwi Korean morphological analyzer C API
A minimal AI coding agent with sandboxed command execution
Simple authentication back-end that feels like a game
Picks two fair teams based on player skill
An open-source, security-first AI agent framework in Ruby with capability-based permissions, sandboxed skills, and a layered prompt system.
Detects and manages psychological flow states based on challenge-skill balance
<!-- TABLE OF CONTENTS --> <details open="open"> <summary>Table of Contents</summary> <ol> <li> <a href="#about-the-project">About The Project</a> <ul> <li><a href="#built-with">Built With</a></li> </ul> </li> <li> <a href="#getting-started">Getting Started</a> <ul> <li><a href="#prerequisites">Prerequisites</a></li> <li><a href="#installation">Installation</a></li> </ul> </li> <li><a href="#usage">Usage</a></li> <li><a href="#roadmap">Roadmap</a></li> <li><a href="#contributing">Contributing</a></li> <li><a href="#license">License</a></li> <li><a href="#contact">Contact</a></li> <li><a href="#acknowledgements">Acknowledgements</a></li> </ol> </details> <!-- ABOUT THE PROJECT --> ## About The Project [![Product Name Screen Shot][Screenshot of gameplay and test list]](https://www.dropbox.com/s/mu1rrbx2mqowjkn/studio-game.png?dl=0) This game is a project built following the [Pragmatic Studio Ruby Course](https://online.pragmaticstudio.com/courses/ruby/). I absolutely adored going through this course, because it was unlike other courses in that the main focus wasn't syntax, but how to build a principle-driven, object-oriented program that contains many of the skills we'd need to build real-world projects. The instructors purposefully created exercises to let us build a program using the skills they demonstrated by building a different program. This wasn't a copy and paste kind of course. This game was actually my second run-through, where I test-drove everything from the start based on the objectives only. Skills I valued developing further with this project: - Test-driven development (50+ tests). - Using inheritance to model "is-a" relationships. For example, a clumsy player *is a* kind of player. - Using mixins (modules) to reuse behaviours that are common between classes, but should not be modeled with an inheritance relationship. A good tip was to look for 'able' behaviors in a class to extract, like 'playable', 'printable', 'taxable' etc. - Using a file block which lets you add in class usage examples that are only run when you run the class file specifically. - Overriding default methods (like sort, and renaming things so that they keep a specific format) Things I struggled with: - Testing behaviour that uses blocks. I had a lightbulb moment when I realised I should test the behaviour performed inside the block on a single item. Testing the output of an entire block is like testing Ruby syntax works. Alternatively, test the before and after state of something that changes as a result of using a block. Cooool. - Puts. It felt wrong to use puts to show the output in the console. I'd like to learn how to seperate the view logic for a command-line project later. Things I did to make it my own: - Wrote a lot more tests for my second run-through. - Noticed and extracted further 'able' behaviours into modules (like printing stats, formatting output and handling csv files). ### Built With * [Ruby (language)](https://www.ruby-lang.org/en/) * [RSpec (framework)](https://rspec.info/) * [Vim (text-editor)](https://www.vim.org/) <!-- GETTING STARTED --> ## Getting Started To get a local copy up and running follow these steps: ### Prerequisites This is an example of how to list things you need to use the software and how to install them. * gem ```sh npm install npm@latest -g ``` ### Installation 1. Install the gem ```sh gem install studio_game_2021 ``` <!-- USAGE EXAMPLES --> ## Usage To play a game from the command-line, open a new command project and run the command-line script like so: ```sh studio_game ``` Or, if you'd like to use the game as a library, here's an example of how to use it in `irb`. You can also check the bottom of each class or module file for further usage instructions ``` >> require 'studio_game/game' => true >> game = StudioGame::Game.new("Knuckleheads") => #<StudioGame::Game:0x007fdea10252d8 @title="Knuckleheads", @players=[]> >> player = StudioGame::Player.new("Moe", 90) => I'm Moe with health = 90, points = 0, and score = 90. >> game.add_player(player) => [I'm Moe with health = 90, points = 0, and score = 90.] >> game.play(1) ``` <!-- ROADMAP --> ## Roadmap I plan to customize this game further now that I have a solid foundation to explore from. It'll be fun to let the players interact with each other more, like swapping treasures, and maybe add some kind of board game with it's own features. That's my next focus. ## Contributing Feel free to fork this project and play around with it. Open to feedback-related pr requests. <!-- LICENSE --> ## License Distributed under the MIT License. See `LICENSE` for more information. <!-- CONTACT --> ## Contact Becca - [@becca9941](https://twitter.com/Becca9941) - becca@essentialistdev.com Project Link: [https://gitlab.com/EssentialistDev/studio-game](https://gitlab.com/EssentialistDev/studio-game) <!-- ACKNOWLEDGEMENTS --> ## Acknowledgements - [Pragmatic Studio](https://online.pragmaticstudio.com/courses/ruby/) for empowering me with awesome new development skills. - [Best-README-Template](https://github.com/Becca9941/Best-README-Template) for helping me write a README for this project.
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