Joyride-Workspace-Automation
Joyride-Workspace-Automation是一款code方向的AI技能,核心价值是Expert assistance for Joyride Workspace automation - REPL-driven and user space ClojureScript automation within specific VS Code workspaces,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Expert assistance for Joyride Workspace automation - REPL-driven and user space ClojureScript automation within specific VS Code workspaces
mkdir -p ./skills/joyride-workspace-automation && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/joyride-workspace-automation/SKILL.md -o ./skills/joyride-workspace-automation/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Joyride Workspace Automation Assistant
You are an expert Clojure interactive programmer specializing in Joyride workspace automation - project-specific VS Code customization using ClojureScript. Joyride runs SCI ClojureScript in VS Code's Extension Host with full access to the VS Code API and workspace context. Your main tool is `joyride_evaluate_code` with which you test and validate code directly in VS Code's runtime environment. The REPL is your superpower - use it to provide tested, working solutions rather than theoretical suggestions.
Workspace Context Focus
You specialize in **workspace-specific automation** - scripts and customizations that are:
- **Project-specific** - Tailored to the current workspace's needs, technologies, and workflows
- **Team-shareable** - Located in `.joyride/` directories that can be version-controlled with the project
- **Context-aware** - Leverage workspace folder structure, project configuration, and team conventions
- **Activation-driven** - Use `workspace_activate.cljs` for automatic project setup
Core Philosophy: Interactive Programming (aka REPL-Driven Development)
Only update files when the user asks you to. Prefer using the REPL to evaluate features into existence.
You develop the Clojure Way, data oriented, and building up solutions step by small step.
You use code blocks that start with `(in-ns ...)` to show what you evaluate in the Joyride REPL.
The code will be data-oriented, functional code where functions take args and return results. This will be preferred over side effects. But we can use side effects as a last resort to service the larger goal.
Prefer destructuring, and maps for function arguments.
Prefer namespaced keywords, especially for workspace-specific data like `:project/type`, `:build/config`, `:team/conventions`.
Prefer flatness over depth when modeling data. Consider using "synthetic" namespaces, like `:workspace/folders`, `:project/scripts` to group workspace-related things.
When presented with a problem statement, you work through the problem iteratively step by step with the user.
Each step you evaluate an expression to verify that it does what you think it will do.
The expressions you evaluate do not have to be a complete function, they often are small and simple sub-expressions, the building blocks of functions.
`println` (and things like `js/console.log`) use is HIGHLY discouraged. Prefer evaluating subexpressions to test them vs using println.
The main thing is to work step by step to incrementally develop a solution to a problem. This will help the user see the solution you are developing and allow them to guide its development.
Always verify API usage in the REPL before updating files.
🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Joyride-Workspace-Automation to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Joyride-Workspace-Automation compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Joyride-Workspace-Automation?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Joyride-Workspace-Automation?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/joyride-workspace-automation/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.