autoheal

What This Skill Does

AutoHeal provides an intelligent layer of error monitoring and automated resolution for JavaScript and TypeScript projects. By integrating directly into your application's lifecycle, the skill intercepts both browser-side and server-side runtime errors. Once an error occurs, it is sent to the AutoHeal platform, where AI models analyze the stack trace, identifying the root cause and generating actionable, platform-specific code fixes that you can apply directly to your codebase. It bridges the gap between seeing an error in your logs and understanding exactly how to fix it.

Installation

To integrate AutoHeal into your environment, follow these steps:

1. Open your terminal and run: clawhub install openclaw/skills/skills/hankmint/autoheal.
2. In your project, determine your environment (Browser or Node.js).
3. Copy the provided snippet from the documentation into your entry file (e.g., main.tsx or index.js).
4. Ensure you have the AUTOHEAL_API_KEY environment variable set in your project's configuration to authenticate the ingestion requests.

Use Cases

AutoHeal is essential for production-grade applications that require rapid incident response. Common use cases include:

• Monitoring production frontend apps for "undefined is not a function" errors that are hard to replicate locally.
• Tracking uncaught exceptions in Node.js server environments, such as API route failures or background process crashes.
• Reducing the "mean time to resolution" (MTTR) by allowing developers to skip manual stack trace debugging and jump straight to reviewing an AI-provided fix.
• Ensuring continuous feedback loops in agile environments where bugs are caught by end-users and fixed before they impact the broader user base.

Example Prompts

1. "Check the latest error status for the most recent critical issue and tell me if a fix is ready for me to review."
2. "Show me the dashboard URL for the error with ID uuid-12345 so I can inspect the suggested fix prompt."
3. "List all recent errors from the production server that have been analyzed by AutoHeal but not yet applied."

Tips & Limitations

To maximize the efficiency of AutoHeal, ensure your source maps are correctly uploaded if you are using minified production code; otherwise, the AI may struggle to map the stack trace to your original source files. Note that AutoHeal does not automatically execute code in your repo; it provides a 'fix prompt.' You should always review and test the AI-generated suggestion within your staging environment before deploying it to production. For sensitive environments, ensure that error logs do not contain PII (Personally Identifiable Information) before sending them to the ingestion endpoint.