boundary-bbcr-fallback
Execute automatic BBCR (Collapse-Rebirth Correction) when knowledge boundaries are exceeded or reasoning fails.
Get DevTools connection information for debugging a Tauri application
$ npx -y skills add qdhenry/Claude-Command-Suite --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/devtoolsContext preview
What this command does when you run it.
Get DevTools connection information for debugging a Tauri application
name: rust:tauri:devtools description: Get DevTools connection information for debugging a Tauri application allowed-tools: mcp__tauri-mcp__get_devtools_info author: Quintin Henry (https://github.com/qdhenry/)
<objective> Retrieve DevTools connection information for a running Tauri application, enabling browser-based debugging of the webview. </objective>
<instructions> Get DevTools info for the Tauri application: **$ARGUMENTS**
Arguments: `[process_id]`
1. **Query DevTools Information** Use `mcp__tauri-mcp__get_devtools_info` with the process ID.
2. **Provide Connection Instructions** Show how to connect to DevTools for debugging.
# Get DevTools connection info /tauri:devtools 12345
</instructions>
<output_format>
=== DevTools Information === Process ID: [PID] --- Connection --- Debug Port: [port] WebSocket URL: [ws://...] HTTP URL: [http://...] --- How to Connect --- 1. Open Chrome/Edge browser 2. Navigate to: chrome://inspect 3. Click "Configure..." and add: localhost:[port] 4. Your app should appear under "Remote Target" 5. Click "inspect" to open DevTools --- Alternative --- Direct URL: [devtools://devtools/bundled/inspector.html?ws=...]
</output_format>
<debugging_tips> **What You Can Do with DevTools:**
**Common Debug Tasks:**
</debugging_tips>
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Repo: qdhenry/Claude-Command-Suite
Execute automatic BBCR (Collapse-Rebirth Correction) when knowledge boundaries are exceeded or reasoning fails.
Analyze semantic position relative to knowledge boundaries to prevent hallucination and identify uncertainty zones.
Generate a visual heatmap of knowledge boundaries showing safe zones, risk areas, and semantic coverage.
Evaluate the current risk level and provide detailed analysis of potential hallucination or reasoning failure.
Find and construct semantic bridges to safely navigate from current position to target concept without crossing dangerous boundaries.
Takes an input prompt and returns ONLY a token-optimized version that preserves meaning while minimizing token count. Based on LLM tokenization principles:…