Merge pull request #54108 from Chukslord1/fix-skills-workspaceagent

fixed time for skill, fixed mentions of @workspace, updated mslearn m…

Author: v-dirichards

learn-pr/advocates/challenge-github-copilot-sql/includes/2-work-with-sql-using-github-copilot.md

@@ -16,15 +16,15 @@ GitHub Copilot provides better outcomes when your prompts are more specific. If
 
 For example, you could use GitHub Copilot to provide you with the SQL code to create a table that included columns for first name, last name, date of birth, favorite movie, and pet name by issuing the following prompt:
 
-_@workspace Please provide me with the SQL code to create a table that included columns for first name, last name, date of birth, favorite movie and pet name_
+_Please provide me with the SQL code to create a table that included columns for first name, last name, date of birth, favorite movie and pet name_
 
 ![A screenshot a GitHub Copilot prompt related to the creation of a table in SQL.](../media/create-table.svg)
 
 ## Understand an application that includes SQL
 
 For example, if you opened a codespace were presented with an application that included SQL code, you could query GitHub Copilot with the following prompt to understand more about the project in the following manner:
 
-_@workspace Please briefly explain the structure of this project.
+_Please briefly explain the structure of this project.
 What should I do to run it?_
 
 ![A screenshot showing GitHub Copilot's response to a query about project structure.](../media/project-structure.svg)

learn-pr/github/advanced-github-copilot/6-knowledge-check.yml

@@ -49,14 +49,14 @@ quiz:
       - content: "Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane."
         isCorrect: true
         explanation: "That's correct! Slash commands help you perform specific actions like writing tests and documentation faster by using predefined intents. You can access these slash command options in a drop-down menu after typing `/` in the chat or inline pane."       
-  - content: "What are the benefits of using agents like '@terminal' or '@workspace' when interacting with GitHub Copilot?"
+  - content: "What are the benefits of using agents like '@terminal' when interacting with GitHub Copilot?"
     choices:
     - content: "Agents in Visual Studio Code help you ask questions within a specific context, allowing for more precise and relevant answers from GitHub Copilot."
       isCorrect: true
-      explanation: "That's correct! Agents like '@terminal' or '@workspace' allow you to interact with GitHub Copilot in the context of your terminal or entire workspace. By using these agents, questions are more precise and relevant, which helps you efficiently solve development tasks."
+      explanation: "That's correct! Agents like '@terminal' allow you to interact with GitHub Copilot in the context of your terminal. By using these agents, questions are more precise and relevant, which helps you efficiently solve development tasks."
     - content: "Agents help enforce a consistent code format based on best practices within Visual Studio Code for improved readability."
       isCorrect: false
-      explanation: "Incorrect, agents don't specifically enforce formatting rules. They're used to interact with GitHub Copilot in the context of your terminal or workspace when asking questions and receiving answers."
+      explanation: "Incorrect, agents don't specifically enforce formatting rules. They're used to interact with GitHub Copilot in the context of your terminal when asking questions and receiving answers."
     - content: "Agents provide extra security features for detecting vulnerabilities and intrusions within Visual Studio Code projects."
       isCorrect: false
       explanation: "Incorrect, agents don't specifically focus on providing security features. They're used to interacting with GitHub Copilot in a specific context when asking questions related to development tasks."

learn-pr/github/advanced-github-copilot/includes/2-advanced-github-copilot-features.md

@@ -27,6 +27,4 @@ Using specific slash commands to create a question is a good way to get better r
 
 ## Agents
 
-Visual Studio Code has a feature called *agents* that allows you to interact with GitHub Copilot. These agents allow you to ask questions using a specific context. For example the `@terminal` agent helps you chat with GitHub Copilot to interact with the terminal.
-
-Another agent is `@workspace`, which is aware of your entire workspace. It allows you to ask questions about the entire project. To use an agent, prefix your question with the agent, for example: `@workspace how can I package this project?`.
+Visual Studio Code has a feature called *agents* that allows you to interact with GitHub Copilot. These agents allow you to ask questions using a specific context. For example the `@terminal` agent helps you chat with GitHub Copilot to interact with the terminal.

learn-pr/github/advanced-github-copilot/includes/4-applied-copilot-techniques.md

@@ -40,30 +40,25 @@ Combining features like slash commands with inline chat allows you to choose the
 
 GitHub Copilot can be customized to provide suggestions based on the context you're working on. For example, you can ask GitHub Copilot to provide suggestions based on the entire workspace or the terminal output.
 
-GitHub Copilot can give you an accurate suggestion for your project without requiring you to open many files. Imagine you need to package your project using a _Dockerfile_. A _Dockerfile_ is a special file that needs to have specific instructions to package your project. You can use the `@workspace` agent to ask GitHub Copilot how to help you out. For example, open GitHub Copilot Chat and type the following command:
+GitHub Copilot can give you accurate suggestions for your project without requiring you to open many files. Imagine you need to package your project using a Dockerfile. A Dockerfile is a special file that needs to have specific instructions to package your project. You can use GitHub Copilot Chat to ask how to help you out. For example, open GitHub Copilot Chat and type the following command:
 
 ```text
-@workspace I need to create a Dockerfile for this project, can you generate one that will help me package it?
+I need to create a Dockerfile for this project, can you generate one that will help me package it?
 ```
 
 You'll get a response back that explains the steps to create a _Dockerfile_ for your project, along with some explanation on what the steps of the file are going to do.
 
 As always, if the suggestions aren't exactly what you are looking for, you can reword the prompt and be more specific. For example, you could ask GitHub Copilot to use a specific step when creating the _Dockerfile_:
 
 ```text
-@workspace help me create a Dockerfile to package this project but make sure you are using a Virtual Environment for Python.
+Help me create a Dockerfile to package this project but make sure you are using a Virtual Environment for Python.
 ```
 
-In addition to the `@workspace` agent, you can use other agents like `@terminal`, `@file`, and `@directory` to get context-specific suggestions:
+Copilot can also provide context-specific suggestions based on where you are working. For example, you can use the `@terminal` agent to get help with errors or commands allowing Copilot to provide suggestions based on the terminal output.
 
-- `@terminal`: Provides suggestions based on the terminal output.
-    - Example: @terminal How do I fix the error message I'm seeing?
-- `@file`: Focuses on the content of a specific file.
-    - Example: @file Can you help me refactor this function in main.py?
-- `@directory`: Considers the contents of a specific directory.
-    - Example: @directory How can I optimize the scripts in the utils directory?
+Example: @terminal How do I fix the error message I'm seeing?
 
 If you're stuck or not getting the results you want, then you can reword the prompt or start writing code for Copilot to autocomplete.
 
 >[!Note]
-> Although you can be specific with `@workspace`, by default GitHub Copilot uses open files in your text editor as additional context.
+> By default GitHub Copilot uses open files in your text editor as additional context.

learn-pr/github/advanced-github-copilot/includes/5-exercise-update-a-web-api.md

@@ -48,10 +48,10 @@ This test is not quite right, it is not including cities that doesn't exist. Onl
 
 ### Step 3: Use an agent to write the documentation
 
-Finally, use the `@workspace` agent to write project documentation and details on how to run the project itself. Open the `README.md` file and use the following prompt in GitHub Copilot Chat:
+Finally, use GitHub Copilot Chat Agent mode to write project documentation and details on how to run the project itself. Open the `README.md` file and use the following prompt in GitHub Copilot Chat:
 
 ```text
-@workspace I want to document how to run this project so that other developers can get started quickly by reading the README.md file.
+I want to document how to run this project so that other developers can get started quickly by reading the README.md file.
 ```
 
 You should get a response that helps you update the README.md file with the necessary information to run the project.

learn-pr/github/advanced-github-copilot/includes/7-summary.md

@@ -3,7 +3,7 @@ GitHub Copilot is a tool that offers many ways to interact with your project, an
 Now that you have finished this module, you should be able to:
 
 - Use GitHub Copilot features like chat, agents, inline chat, and slash commands, which offer more flexibility to accomplish coding tasks.
-- Apply the `@workspace` agent using GitHub Copilot Chat to provide more content when trying to get output relevant to your project.
+- Use GitHub Copilot Chat to provide context-aware assistance when working on your project and generating relevant output.
 
 ## Delete your Codespaces resources
 

learn-pr/github/github-actions-cd/exercise-2.yml

@@ -0,0 +1,13 @@
+### YamlMime:ModuleUnit
+uid: learn.github.github-actions-cd.exercise-2
+title: Exercise - Work with workflow artifacts in GitHub Actions
+metadata:
+  title: Exercise - Work with workflow artifacts in GitHub Actions
+  description: Validate your knowledge on uploading, managing, and reusing workflow artifacts across jobs and workflows in GitHub Actions.
+  author: a-a-ron
+  ms.author: aastewar
+  ms.date: 04/03/2026
+  ms.topic: unit
+durationInMinutes: 60
+content: |
+  [!include[](includes/exercise-2.md)]

learn-pr/github/github-actions-cd/includes/exercise-2.md

@@ -0,0 +1,26 @@
+In this exercise, you use GitHub to validate your knowledge of working with workflow artifacts in GitHub Actions to upload, share, and reuse data across jobs and workflows.
+
+This GitHub exercise is graded automatically once you've attempted a solution to the challenge. The results of your actions and helpful feedback are provided in real time within the `grade-learner` workflow logs.
+
+Here are some helpful tips before you begin the exercise:
+
+- Read the **About this exercise** section in the exercise's repository README to understand how artifacts are created, stored, and reused across workflows.  
+- Follow the steps provided in the **Instructions** section to successfully upload, preview, download, and reuse workflow artifacts.  
+- To see the results of your exercise, navigate to the **Actions** tab of your cloned repository and select the most recent run on the **Grading** workflow.  
+- Stuck on what to do? Revisit the content in the previous unit or check out the **Useful resources** section in the exercise's repository README for additional guidance on workflow artifacts and GitHub Actions.  
+
+> [!NOTE]  
+> A grading script exists under `.github/workflows/grading.yml`. You do not need to modify this workflow to complete this exercise. **Altering the contents in this workflow can break the exercise's ability to validate your actions, provide feedback, or grade the results**.
+
+This exercise is a challenge based on content covered in this module, and it may take several attempts to complete successfully. If you get stuck, we recommend revisiting previous content in this module or exploring the additional resources provided.
+
+When you've finished the exercise in GitHub, return here for:
+
+> [!div class="checklist"]
+>
+> - A quick knowledge check  
+> - A summary of what you've learned  
+> - A badge for completing this module  
+
+> [!div class="nextstepaction"]  
+> [Start the exercise on GitHub](https://github.com/skills/workflow-artifacts)

learn-pr/github/github-actions-cd/index.yml

@@ -45,6 +45,7 @@ units:
 - learn.github.github-actions-cd.2-deploy-azure
 - learn.github.github-actions-cd.2b-manage-workflow-runs
 - learn.github.github-actions-cd.3-create-workflow-deploy-azure
+- learn.github.github-actions-cd.exercise-2
 - learn.github.github-actions-cd.exercise
 - learn.github.github-actions-cd.4-knowledge-check
 - learn.github.github-actions-cd.5-summary

learn-pr/github/github-copilot-across-environments/6-knowledge-check.yml

@@ -41,20 +41,6 @@ quiz:
     - content: "/unittest"
       isCorrect: false
       explanation: "Incorrect. The /unittest command isn't a valid slash command in GitHub Copilot Chat."
-  - content: "What is the purpose of the @workspace agent in GitHub Copilot Chat?"
-    choices:
-    - content: "To focus only on the current file"
-      isCorrect: false
-      explanation: "Incorrect. The @workspace agent doesn't limit the context to just the current file."
-    - content: "To extend the context of questions to the whole project"
-      isCorrect: true
-      explanation: "Correct. The @workspace agent broadens the scope of Copilot's understanding to the entire project or workspace."
-    - content: "To run terminal commands"
-      isCorrect: false
-      explanation: "Incorrect. Running terminal commands isn't the primary purpose of the @workspace agent."
-    - content: "To change Visual Studio Code settings"
-      isCorrect: false
-      explanation: "Incorrect. The @workspace agent isn't used for changing IDE settings."
   - content: "What command would you use to get an explanation of a specific command using GitHub Copilot CLI?"
     choices:
     - content: "gh copilot suggest"