Add Error Handling Automatically
Automatically add reliable error handling to existing applications.
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See it in action
You say
Centralize the error handling for this Node/Express API. It's currently leaking stack traces in production and uses inconsistent JSON structures for 400 errors.
Your agent does
Project Detected: Express (Node.js)
Error Handling Added:
- Global Error Middleware
- AppError Class (Operational vs Programmatic)
Client Response Protection:
- Stack traces stripped in NODE_ENV=production
- Consistent JSON error objects with machine-readable codes
Files Modified:
- src/middleware/error.js
- src/utils/AppError.js
- src/app.js
What you get
About this skill
The problem
Leaking stack traces and database internals in production responses creates massive security risks. Inconsistent error formats across your API make it impossible for frontend developers to build reliable client-side handling.
What it does
- Detects your framework and architecture to implement native-feeling, centralized error handlers and middleware.
- Transforms raw exceptions into safe, machine-readable JSON responses with stable error codes and request IDs.
- Protects async workflows by ensuring rejected promises reach handlers instead of crashing the process.
- Categorizes failures into specific types like validation, conflict, and auth errors with appropriate HTTP status codes.
- Sanitizes logs to prevent sensitive data like tokens, passwords, and PII from leaking into your observability stack.
Frameworks & tools
Works with any Node.js, Python, or Go web framework. Adapts to existing loggers, test suites, and package managers found in your workspace.
Why this beats prompting it yourself
Manually wrapping every route in try-catch blocks is brittle and repetitive. This skill builds a scalable, centralized foundation that preserves internal diagnostic traces while strictly enforcing public data boundary rules.
Use cases
- Standardizing 4xx/5xx responses across a legacy Express or FastAPI service.
- Adding custom exception classes that map database constraints to client-safe conflict errors.
- Securing production logs by filtering out PII and credentials from error payloads.
- Implementing global async error protection to stop unhandled promise rejections.
Known limitations
Requires read access to the project workspace to detect architectural patterns. Cannot test live third-party service failures without mocks or existing integration tests.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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