An intelligent AI assistant that automatically diagnoses, analyzes, and repairs code bugs and runtime exceptions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-bug-fixer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-bug-fixer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI Bug Fixer is a high-performance tool within the Openclaw Skills ecosystem designed to eliminate the manual drudgery of debugging. By leveraging advanced large language models, this skill analyzes error stack traces, log patterns, and source code architecture to provide actionable fixes. It serves as a virtual senior developer that not only identifies where a crash occurred but also understands the underlying logic to suggest structural improvements.
Integrating this skill into your workflow allows for rapid response to production issues and regression-free development. As part of the Openclaw Skills library, it emphasizes precision in root cause analysis, ensuring that generated patches are both safe and efficient for modern software environments.
To start using this skill within the Openclaw Skills framework, follow these configuration steps:
# Navigate to your project directory
cd your-project-repo
# Run the error fixer on a specific file with an error message
python scripts/error_fixer.py --error "TypeError: 'NoneType' object is not subscriptable" --file main.py
# Analyze application logs for patterns
python scripts/log_analyzer.py --log app.log --pattern ERROR
The AI Bug Fixer organizes its output to ensure developers can easily review and audit changes. The data structure includes:
| Data Component | Description | Output Format |
|---|---|---|
| Diagnostic Report | A breakdown of the root cause and error impact | Markdown |
| Code Patches | Unified diff files ready for git application | .patch |
| Validation Tests | New test cases to prevent future regressions | Language-specific (e.g., .py, .js) |
| Audit Logs | A history of all diagnosed issues and applied fixes | JSON/LOG |
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