Antigravity Skills Beginner's Guide: A New Era of Automation in AI IDEs

## 1. Introduction This video presents a beginner's tutorial for Google Antigravity Skill. Declaration: Released along with DP_IT videos, it is free to use. Any commercial activities such as resale are prohibited. If someone sells this to you, please ask for a refund. Website: https://dpit.lib00.com ## 2. Commands used in the video > 2.1. Skill.md en+zh ``` --- name: translator #- 名称：翻译器 description: Translates text between languages. Use when you got translation tasks. #- 描述：在不同语言之间翻译文本。有翻译任务时使用。 --- # Translator Skill When translating tasks, follow these steps: #- 在进行翻译任务时，请遵循以下步骤： ## 1. When to use this skill #- ## 1. 何时使用此技能 1. use for all kinds of translation tasks #- 1. 用于各类翻译任务 ## 2. Default Translate Rules #- ## 2. 默认翻译规则 1. **Source**: You can find source(language+text like markdown) in user input command #- 1. **源**: 你可以在用户输入命令中找到源(语言+文本，如 markdown) 2. **Target**: use English as default target language if user not input target language #- 2. **目标**: 如果用户没有输入目标语言，则使用英语作为默认目标语言 3. **Do Translate**: Translate the source to the target language, keep the same format as the source, follow user special request in command if user input #- 3. **翻译**: 将源翻译成目标语言，保持与源相同的格式，并遵循用户在命令中的特殊要求 4. **Save**: Save the translated text to a file(filename like `translated_source_target_timestamp.md`) into folder `documents/translations` #- 4. **保存**: 将翻译后的文本保存到文件(文件名如 `translated_source_target_timestamp.md`)中，文件夹为 `documents/translations` ## 3. How To Translate #- ## 3. 如何翻译 1. **Target**: You may find target language in user input command, if not, use default target language #- 1. **目标**: 你可以在用户输入命令中找到目标语言，如果没有，则使用默认目标语言 ## 4. How to provide feedback #- ## 4. 如何提供反馈 - show user the source, target language, translated file path and all other works you have done for translation task #- 向用户展示源、目标语言、翻译文件路径以及你为翻译任务所做的所有其他工作 ``` > 2.2. Recommended English version of Skill.md ``` --- name: translator description: Translates text between languages. Use when you got translation tasks. --- # Translator Skill When translating tasks, follow these steps: ## 1. When to use this skill 1. use for all kinds of translation tasks ## 2. Default Translate Rules 1. **Source**: You can find source(language+text like markdown) in user input command 2. **Target**: use English as default target language if user not input target language 3. **Do Translate**: Translate the source to the target language, keep the same format as the source, follow user special request in command if user input 4. **Save**: Save the translated text to a file(filename like `translated_source_target_timestamp.md`) into folder `documents/translations` ## 3. How To Translate 1. **Target**: You may find target language in user input command, if not, use default target language ## 4. How to provide feedback - show user the source, target language, translated file path and all other works you have done for translation task ``` > 2.3. Chinese version of Skill.md ``` --- name: 翻译器 description: 在不同语言之间翻译文本。有翻译任务时使用。 --- # Translator Skill 在进行翻译任务时，请遵循以下步骤： ## 1. 何时使用此技能 1. 用于各类翻译任务 ## 2. 默认翻译规则 1. **源**: 你可以在用户输入命令中找到源(语言+文本，如 markdown) 2. **目标**: 如果用户没有输入目标语言，则使用英语作为默认目标语言 3. **翻译**: 将源翻译成目标语言，保持与源相同的格式，并遵循用户在命令中的特殊要求 4. **保存**: 将翻译后的文本保存到文件(文件名如 `translated_source_target_timestamp.md`)中，文件夹为 `documents/translations` ## 3. 如何翻译 1. **目标**: 你可以在用户输入命令中找到目标语言，如果没有，则使用默认目标语言 ## 4. 如何提供反馈 向用户展示源、目标语言、翻译文件路径以及你为翻译任务所做的所有其他工作 ``` ## 3. Related links > Antigravity-Better v0.1.7 https://github.com/016/Antigravity-Better > antigravity.skill documentation https://antigravity.google/docs/skills

# Antigravity Skills Beginner's Guide: A New Era of Automation in AI IDEs ## Overview Welcome to DP's beginner's guide for Antigravity! This video focuses on a powerful and innovative feature within Antigravity—**Skills**. We'll start with the theory and then move to a real-world coding project scenario to guide you step-by-step on how to leverage Skills to automate your development workflow. This is not just a technical share, but an exploration into the future of AI-assisted programming. --- ## 📖 What You'll Learn ### 1. The Origin and Core Concept of Skills The video traces the evolution of `Skills`, from the `Claude skills` released by Anthropic to the current cross-tool `agent skills` standard. This explains why cutting-edge tools like Codex, Cursor, and Antigravity have all adopted this feature. It's a powerful mechanism that allows the AI to automatically understand your intent and execute predefined tasks. ### 2. Skills vs. Workflows: An In-Depth Comparison Antigravity features two similar yet functionally distinct features: `Workflows` and `Skills`. We provide a detailed comparison: * **Invocation**: Workflows must be manually triggered with a slash command, whereas Skills are automatically activated based on your natural language input. * **Context Management**: Workflows load their entire execution logic into the context. Skills are more efficient, only placing the final **result** into the context, behaving much like a `sub-agent` and saving Tokens. * **Use Cases**: The creator suggests that Workflows are better suited for complex, sequential processes, while Skills are ideal for encapsulating and calling discrete, reusable functions. * **Accuracy & Cost**: Workflows are 100% accurate due to manual triggering. Skills rely on AI intent matching, achieving about 99% accuracy, which consumes a small number of extra Tokens for the matching process. ### 3. Hands-On Tutorial: Creating Your First Skill Using the version release of a real project, `Antigravity Better`, the video demonstrates how to create a Skill for **translating a README file**. #### Step-by-Step Breakdown: 1. **Preparation**: Clone the `Antigravity better` source code from GitHub. 2. **Directory Setup**: In the project-level `.agent` directory, create a `skills/translator` folder and a `SKILL.md` file within it. 3. **Understanding Scopes**: The video explains the difference and setup for project-level Skills versus global Skills (located at `~/.gemini/antigravity/global_skills`). 4. **Authoring `SKILL.md`**: This is the core of the Skill. It consists of two parts: * **YAML Frontmatter**: Defines the `name` and `description`. The `description` is crucial as it's the sole basis for the AI to decide whether to invoke the Skill. It must clearly and accurately describe the Skill's function, inputs, and outputs. * **Markdown Body**: When the Skill is triggered, this content acts as the prompt to guide the AI. The example in the video details translation rules, source/target language identification, file saving paths, and naming conventions. ### 4. Live Demo and Conclusion The demo shows that when the user types \"translate the README for me,\" Antigravity automatically identifies and invokes the translation Skill. It successfully completes the entire chain of actions—creating a folder, translating the text, and saving the file—before providing a clear summary of the results. The process is **highly automated**, and the conversation context remains clean. --- ## 🚀 Key Takeaways * **Skills are Automatic**: They execute tasks based on natural language intent without needing manual commands. * **Skills are Efficient**: By injecting only the results into the context, they effectively conserve valuable Token resources. * **The `description` is Key**: A well-crafted description is essential for ensuring your Skill is triggered accurately. Finally, the video raises an interesting open question for discussion: When the AI matches a Skill, does it use the user's selected high-end model (like Opus 4.5) or a more lightweight model? Join the discussion in the comments!