Error Handling & Resilience Reference for Openclaw

A comprehensive quick-reference for error handling patterns, HTTP status codes, and system resilience strategies.

ckchzh
v1.0.0
Mar 21, 2026
0
1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install error

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install error 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 & Resilience Reference?

The Error skill is a specialized technical reference designed for developers building robust and resilient applications. It provides immediate access to critical data on error types, exception patterns, and observability standards, ensuring that failure handling is a first-class citizen in your development workflow. By utilizing Openclaw Skills like this, developers can standardize how their applications communicate failures both to users and internal monitoring systems.

This tool bridges the gap between development and production stability by offering structured guidance on everything from HTTP status code implementation to complex retry logic with jitter. It is an essential asset for anyone looking to implement industry-standard error boundaries and structured logging practices within their codebase.

Error Handling & Resilience Reference Use Cases

  • Designing a unified error handling strategy for a new distributed application.
  • Quickly referencing the correct HTTP status codes for specific API failure scenarios.
  • Implementing advanced retry mechanisms with exponential backoff and circuit breakers to improve system uptime.
  • Standardizing error message design to differentiate between user-facing feedback and developer-facing debugging data.
  • Conducting root cause analysis using bisection and tracing techniques provided in the debugging reference.

How Error Handling & Resilience Reference Works

  1. The user invokes specific commands through the Openclaw Skills interface to access targeted error handling domains.
  2. The skill retrieves curated technical documentation and code patterns for themes like HTTP status, retry logic, or logging best practices.
  3. Developers apply these standardized patterns and checklists to their source code to ensure high availability and better observability.
  4. System architects use the provided strategies to configure circuit breakers and backoff parameters tailored to their specific environment.

Error Handling & Resilience Reference Setup

To get started with this error reference skill, ensure you have the necessary environment configured. You can install and initialize the skill using the following steps:

# Define the data directory if you wish to override the default
export ERROR_DIR="~/.error/"

# Access the help menu to see all available reference modules
scripts/script.sh help

# Initialize the intro module to learn about the core error handling philosophy
scripts/script.sh intro

Error Handling & Resilience Reference Data Schema & Taxonomy

The skill organizes its technical references into modular categories, allowing for quick lookups. The data is structured around the following taxonomy:

Module Content Type Key Data Points
HTTP Reference Table Status codes (2xx-5xx), usage context, and RFC compliance.
Retry Strategy Guide Exponential backoff formulas, jitter implementation, and circuit breaker thresholds.
Logging Best Practices Structured JSON logging formats, severity levels (Info vs Critical), and context metadata.
Patterns Code Reference Try/catch blocks, Result/Either types, and framework-specific error boundaries.

Error Handling & Resilience Reference Advanced Features

  • Support for multi-agent workflows by providing a standardized error schema that different AI agents can interpret.
  • Production-ready checklist command to audit application resilience before deployment.
  • Comprehensive debugging bisection and tracing strategies for complex production failure analysis.
  • Detailed i18n considerations for user-facing error message design and internationalization.

SKILL.md


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