A comprehensive framework for implementing resilient error management strategies across various programming languages and architectural layers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install api-error-handling
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 api-error-handling 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 Error Handling Patterns?
This skill provides a standardized approach to managing software failures, emphasizing the distinction between operational and programmer errors. By leveraging these patterns within Openclaw Skills, developers can ensure their applications fail fast and loud at boundaries rather than silently swallowing exceptions. It covers everything from low-level language idioms to high-level architectural patterns like circuit breakers and graceful degradation.
The core philosophy focuses on shiping resilient software by handling errors at the correct boundaries, providing sufficient context for diagnosis, and maintaining specific error types. Whether you are building complex APIs or frontend interfaces, these standards help maintain system stability and developer sanity.
Error Handling Patterns Use Cases
- Designing robust API error response structures for production environments.
- Implementing exponential backoff and jitter for resilient network communication.
- Preventing cascading failures in microservices using circuit breaker patterns.
- Creating custom error subclasses in JavaScript or wrapping errors in Go for better traceability.
- Configuring global error boundaries in React or Express to capture unhandled exceptions.
How Error Handling Patterns Works
- Identify the error category by distinguishing between recoverable operational issues and fixable programmer bugs.
- Utilize language-specific mechanisms like Result types in Rust or specific exception catching in Python to handle local failures.
- Implement error wrapping or custom subclasses to attach diagnostic context as the error bubbles up.
- Capture and translate errors at architectural boundaries such as middleware, gateways, or UI components.
- Apply resilience patterns like retries for transient failures or circuit breakers for persistent downstream outages.
- Log structured data with correlation IDs to facilitate rapid debugging in distributed systems.
Error Handling Patterns Setup
To integrate these patterns into your workflow with Openclaw Skills, you can reference the documentation within your AI agent configuration or project rules.
# Example of setting up a project following these standards
mkdir -p src/errors
touch src/errors/AppError.js
# Incorporate the patterns into your system prompt or .cursorrules
echo "Follow Openclaw Skills error handling patterns for all generated code" >> .cursorrules
Error Handling Patterns Data Schema & Taxonomy
| Data Component | Description | Logic Pattern |
|---|---|---|
| Error Envelope | Standardized API response format containing code, message, and requestId. | JSON |
| Circuit Breaker | State tracking for CLOSED, OPEN, and HALF_OPEN thresholds. | State Machine |
| Retry Configuration | Parameters for base delay, max retries, and jitter factors. | Algorithmic |
| Structured Log | JSON-formatted log entry with level, timestamp, and context. | Logging |
| Error Subclasses | Hierarchical organization of specific error types (e.g., NotFoundError). | OOP |
Error Handling Patterns Advanced Features
- Sophisticated exponential backoff with randomized jitter to prevent thundering herd problems.
- Automated circuit breaker implementation to isolate failing downstream services.
- Standardized HTTP error response envelopes for consistent client-side handling.
- Graceful degradation strategies including fallback values and partial response delivery.
- Cross-language error wrapping techniques to preserve stack traces and original error context.
SKILL.md
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