debug-tauri

Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.

242 stars

Best use case

debug-tauri is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.

Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "debug-tauri" skill to help with this workflow task. Context: Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/debug-tauri/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/8beeeaaat/debug-tauri/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/debug-tauri/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How debug-tauri Compares

Feature / Agentdebug-tauriStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Tauri WebView Debugger

Automated debugging workflow for Tauri applications using `tauri-plugin-debug-tools` with official plugin integration.

## Prerequisites

- **tauri-plugin-debug-tools** installed and registered
- **tauri-plugin-log** (v2.0+): Official logging plugin for automatic console collection
- **tauri-plugin-screenshots** (v2.0+): Cross-platform screenshot capture
- Debug permissions enabled: `debug-tools:default`, `log:default`, `screenshots:default`
- Frontend logger initialized via `attachConsole()` (recommended for automatic log forwarding)

## Quick Start

Run `TAURI_APP_NAME=<app-binary-name> scripts/capture.sh` to verify process and capture screenshot.

If process not found, start your dev server (e.g., `tauri dev`) and retry.

## Debug Workflow

Copy this checklist to track progress:

```markdown
Debug Progress:
- [ ] Step 1: Verify process status
- [ ] Step 2: Capture screenshot
- [ ] Step 3: Collect console logs
- [ ] Step 4: Capture WebView state
- [ ] Step 5: Analyze findings
- [ ] Step 6: Generate debug report
- [ ] Step 7: Propose fixes
```

### Step 1: Verify Process Status

Run: `TAURI_APP_NAME=<your-app> scripts/capture.sh`

This checks if the app is running and captures an initial screenshot.

### Step 2: Capture Screenshot

**Via Plugin API (Recommended)**:

```typescript
import { captureMainWindow } from "tauri-plugin-debug-tools/screenshotHelper";
const imagePath = await captureMainWindow();
```

**Legacy**: capture.sh script (macOS screencapture). See [SCREENSHOTS.md](references/SCREENSHOTS.md) for details.

### Step 3: Collect Console Logs

**Console Logger (Frontend - Recommended)**:

The `consoleLogger` automatically collects frontend logs and errors in a ring buffer and flushes them to a temp file.

```typescript
// Import at app entry point to initialize automatic collection
import "tauri-plugin-debug-tools/consoleLogger";

// Use debugTools for explicit logging
import { debugTools } from "tauri-plugin-debug-tools/consoleLogger";
debugTools.log("App started");
debugTools.error("Something went wrong");
```

**Finding consoleLogger Log Files**:

```typescript
import { invoke } from '@tauri-apps/api/core';

// Get actual log file path
const logPath = await invoke('plugin:debug-tools|reset_debug_logs');
console.log('Console logs stored at:', logPath);
```

**Platform-specific consoleLogger locations**:

- **macOS**: `/tmp/tauri_console_logs_[app_name]_[pid].jsonl`
- **Linux**: `/tmp/tauri_console_logs_[app_name]_[pid].jsonl`
- **Windows**: `%TEMP%\tauri_console_logs_[app_name]_[pid].jsonl`

Where `[app_name]` is the application name and `[pid]` is the process ID.

**Backend Logs (tauri-plugin-log)**:

```typescript
import { logger } from "tauri-plugin-debug-tools/logAdapter";

// Initialize once at app startup
const detach = await logger.initialize();

// Logs auto-forwarded to platform-specific location
logger.info("App started");
logger.error("Something went wrong");
```

**Backend log locations**:

- **macOS**: `~/Library/Logs/{bundle_id}/debug.log`
- **Linux**: `~/.local/share/{bundle_id}/logs/debug.log`
- **Windows**: `{LOCALAPPDATA}\{bundle_id}\logs\debug.log`

**Alternative**: Use debugBridge API. See [IPC_COMMANDS.md](references/IPC_COMMANDS.md#console-log-collection) for all methods.

### Step 4: Capture WebView State

```typescript
import { captureWebViewState } from "tauri-plugin-debug-tools/debugBridge";
const state = await captureWebViewState();
```

Returns: `{ url, title, user_agent, viewport }`

### Step 5: Analyze Findings

- **Visual**: Check screenshot for UI issues, errors, layout problems
- **Logs**: Review errors, warnings, patterns
- **State**: Verify URL, viewport, user agent
- **Performance**: Check for memory leaks, high CPU usage

### Step 6: Generate Debug Report

Use template in [REPORT_TEMPLATE.md](references/REPORT_TEMPLATE.md).

### Step 7: Propose Fixes

Based on collected evidence:

- Identify root cause
- Suggest specific code changes
- Provide implementation steps

## References

**IPC Commands**: [IPC_COMMANDS.md](references/IPC_COMMANDS.md) - Console logs, WebView state, debug commands
**Screenshots**: [SCREENSHOTS.md](references/SCREENSHOTS.md) - Capture methods and troubleshooting
**Troubleshooting**: [TROUBLESHOOTING.md](references/TROUBLESHOOTING.md) - Common errors and solutions
**Report Template**: [REPORT_TEMPLATE.md](references/REPORT_TEMPLATE.md) - Structured debug report format

**Legacy reference**: `REFERENCE.md` contains combined documentation (will be deprecated)

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