Scaffold AI agent skills quickly with the Build Skill CLI.
A fully-featured caching GraphQL client.
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.
Tlon/Urbit skill for OpenClaw agents
Skillflag producer CLI reference implementation.
The open agent skills ecosystem
The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.
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).
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.
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.
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.
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 **[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.
The **Model Context Protocol (MCP) client** for the [AI SDK](https://ai-sdk.dev/docs) lets you connect to MCP servers and use their tools with AI SDK functions like `generateText` and `streamText`.
Canonical universal harness — AI-native software engineering via skill-driven orchestration; bootstraps plugkit for task execution and session isolation. Install in any AI coding agent host.
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 **[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 **[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 **[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.
The **[Groq provider](https://ai-sdk.dev/providers/ai-sdk-providers/groq)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Groq chat and completion APIs, transcription support, and browser search tool.
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.
The **Cerebras provider** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for [Cerebras](https://cerebras.ai), offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.
The **[Together.ai provider](https://ai-sdk.dev/providers/ai-sdk-providers/togetherai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Together.ai](https://together.ai) platform.
Builds an Alexa Skills Interaction Model and optionally an Alexa Skills manifest in JSON format from plain text
Easily build your skill's interface in Ruby
The gem is built for test my gem building skill.
The gem is built for test my gem building skill.
Chroma is the open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
Plutonium is a Rapid Application Development toolkit for Rails. Convention-driven and fully customizable, it adds application-level concepts like resources, policies, definitions, and portals that make building complex apps faster. Built for the AI era with Claude Code skills.
Clawthor is a Ruby DSL and compiler for building Claude Code plugins. Define skills, agents, commands, and tasks declaratively, then compile to plugin manifests automatically.
<!-- 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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