tauri-project-setup
Initialize Tauri project with Rust backend and frontend framework integration
npx skills add a5c-ai/babysitter --skill tauri-project-setup --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# tauri-project-setup Initialize Tauri project with Rust backend and frontend framework integration. This skill sets up secure, lightweight desktop applications using web technologies. ## Capabilities - Initialize Tauri project structure - Configure Rust backend with commands - Integrate React, Vue, Svelte, or SolidJS - Set up tauri.conf.json configuration - Configure window settings - Set up auto-update - Configure build for all platforms - Set up plugin system ## Input Schema ```json { "type": "object", "properties": { "projectPath": { "type": "string" }, "projectName": { "type": "string" }, "frontend": { "enum": ["react", "vue", "svelte", "solid", "vanilla"] }, "features": { "type": "array" } }, "required": ["projectPath", "projectName"] } ``` ## Generated Structure ``` my-tauri-app/ ├── src/ # Frontend ├── src-tauri/ │ ├── Cargo.toml │ ├── tauri.conf.json │ ├── src/ │ │ ├── main.rs │ │ └── lib.rs │ └── icons/ └── package.json ``` ## Rust Command Example ```rust #[tauri::command] fn greet(name: &str) -> String { format!("Hello, {}!", name) } fn main() { tauri::Builder::default() .invoke_handler(tauri::generate_handler![greet]) .run(tauri::generate_context!()) .expect("error runn
- Capabilities
- Input Schema
- Generated Structure
- Rust Command Example
- Related Skills
What does the tauri-project-setup skill do?
Initialize Tauri project with Rust backend and frontend framework integration
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill tauri-project-setup --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.