An advanced AI debugging assistant that implements a 7-step methodology combined with automated root cause analysis and test generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install debug-master
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install debug-master using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Debug Master?
Debug Master is a sophisticated development tool designed to streamline the troubleshooting process across more than 15 programming languages. By integrating a structured 7-step debugging framework with modern AI capabilities, it moves beyond simple error correction to provide deep contextual insights. This Openclaw Skills enhancement identifies the fundamental reasons behind crashes and logic errors, ensuring that fixes are both effective and permanent.
The tool excels at recognizing complex error patterns—ranging from JavaScript TypeErrors to concurrency race conditions in Go. It doesn't just suggest code changes; it provides a comprehensive debugging lifecycle that includes issue replication, stack trace analysis, and the automated generation of regression tests to prevent bugs from resurfacing in production environments.
Debug Master Use Cases
- Identifying the root cause of elusive runtime errors like "Cannot read property of undefined" in web applications.
- Troubleshooting environment-specific issues such as ModuleNotFound errors in Python or dependency conflicts.
- Resolving complex asynchronous bugs and unhandled promise rejections in Node.js.
- Analyzing performance bottlenecks and memory leaks using integrated diagnostic tools.
- Generating automated test cases based on historical bug data to improve overall code coverage.
How Debug Master Works
- Issue Replication: The skill guides the user to accurately reproduce the error using trace commands rather than guessing.
- Error Classification: It captures and categorizes the error type (Syntax, Type, Reference, Network, or Runtime) to narrow the search space.
- AI Root Cause Analysis: Utilizing a Why-Tree method, it drills down through multiple layers of causality to find the source of the problem.
- Code Localization: It identifies the specific lines of code responsible using source maps and strategically placed debug logs.
- Solution Synthesis: The skill proposes a multi-tiered repair plan, prioritizing immediate stability followed by a systematic long-term fix.
- Validation: It triggers automated unit, integration, or E2E tests to verify that the proposed solution works as intended.
- Prevention: The bug is documented in an error pattern library with specific preventative measures for future development cycles.
Debug Master Setup
To integrate Debug Master into your workflow, ensure your environment is configured for the specific language you are debugging. You can activate the Openclaw Skills debugger using common triggers like 'debug' or 'fix bug'.
For Node.js environments, use:
node --inspect app.js
# Or for detailed error tracing
node --trace-errors app.js
For Python environments:
python -m pdb script.py
Debug Master Data Schema & Taxonomy
Debug Master organizes debugging data into a structured taxonomy for better reporting and pattern recognition:
| Data Component | Description |
|---|---|
| Error Pattern Library | A repository of symptoms, causes, and verified fixes for recurring issues. |
| Debug Reports | Markdown-formatted summaries including reproduction steps and root cause analysis. |
| Test Suites | Automatically generated test files (e.g., Jest or Pytest) derived from fixed bugs. |
| Source Maps | Metadata mapping compiled/bundled code back to the original source for precise localization. |
Debug Master Advanced Features
- Multi-language support covering 15+ mainstream languages including Rust, Go, Java, and C++.
- Automated Why-Tree analysis for deep-dive root cause discovery.
- Intelligent error pattern recognition library to speed up the identification of common pitfalls.
- Context-aware code quality scanning and pre-emptive warning system.
- Automated regression test generation based on unique error signatures.
- Integration with professional diagnostic tools like Chrome DevTools and GDB.
SKILL.md
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