Error Boundaries React

Error boundaries are React components that catch JavaScript errors anywhere in their component tree, log those errors, and display a fallback UI instead of a component tree that crashed. Introduced in

16 stars

Best use case

Error Boundaries React is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Error boundaries are React components that catch JavaScript errors anywhere in their component tree, log those errors, and display a fallback UI instead of a component tree that crashed. Introduced in

Teams using Error Boundaries React should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/error-boundaries-react/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/backend/error-boundaries-react/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/error-boundaries-react/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Error Boundaries React Compares

Feature / AgentError Boundaries ReactStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Error boundaries are React components that catch JavaScript errors anywhere in their component tree, log those errors, and display a fallback UI instead of a component tree that crashed. Introduced in

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Error Boundaries React

## Skill Profile
*(Select at least one profile to enable specific modules)*
- [ ] **DevOps**
- [x] **Backend**
- [ ] **Frontend**
- [ ] **AI-RAG**
- [ ] **Security Critical**

## Overview
Error boundaries are React components that catch JavaScript errors anywhere in their component tree, log those errors, and display a fallback UI instead of a component tree that crashed. Introduced in React 16, error boundaries are essential for building resilient React applications that can recover from errors gracefully.

## Why This Matters
- **Reduces Downtime**: Error boundaries prevent application crashes by catching and handling errors at component level
- **Improves User Retention**: Users are less likely to abandon applications with good error handling
- **Reduces Support Costs**: Good error reporting enables faster diagnosis and resolution of issues
- **Builds Trust**: Applications that handle errors gracefully build trust with users
- **Enhances User Experience**: Good fallback UI helps users understand situation and provides recovery options
- **Improves Development Velocity**: Cleaner, well-structured code is faster to develop and maintain

---

## Core Concepts & Rules

### 1. Core Principles
- Follow established patterns and conventions
- Maintain consistency across codebase
- Document decisions and trade-offs

### 2. Implementation Guidelines
- Start with the simplest viable solution
- Iterate based on feedback and requirements
- Test thoroughly before deployment


## Inputs / Outputs / Contracts
* **Inputs**:
  - React components
  - Error tracking configuration
  - Fallback UI components
  - User session data
* **Entry Conditions**:
  - React 16+ is available
  - Error tracking service is configured
  - Fallback UI components are designed
* **Outputs**:
  - Error boundary components
  - Error logging integration
  - Fallback UI implementations
  - Error recovery mechanisms
* **Artifacts Required (Deliverables)**:
  - Error boundary components
  - Error logging configuration
  - Fallback UI components
  - Error tracking dashboards
* **Acceptance Evidence**:
  - Errors are caught and logged
  - Fallback UI is displayed appropriately
  - Users can recover from errors
  - Error tracking is configured
* **Success Criteria**:
  - All errors are caught and handled
  - User experience is maintained during errors
  - Error tracking is working
  - Application remains stable

## Skill Composition
* **Depends on**: [react-best-practices](../react-best-practices/SKILL.md), [state-management](../state-management/SKILL.md)
* **Compatible with**: [form-handling](../form-handling/SKILL.md), [nextjs-patterns](../nextjs-patterns/SKILL.md)
* **Conflicts with**: None
* **Related Skills**: [animation](../animation/SKILL.md), [infinite-scroll](../infinite-scroll/SKILL.md)

---

## Quick Start / Implementation Example

1. Review requirements and constraints
2. Set up development environment
3. Implement core functionality following patterns
4. Write tests for critical paths
5. Run tests and fix issues
6. Document any deviations or decisions

```python
# Example implementation following best practices
def example_function():
    # Your implementation here
    pass
```


## Assumptions / Constraints / Non-goals

* **Assumptions**:
  - Development environment is properly configured
  - Required dependencies are available
  - Team has basic understanding of domain
* **Constraints**:
  - Must follow existing codebase conventions
  - Time and resource limitations
  - Compatibility requirements
* **Non-goals**:
  - This skill does not cover edge cases outside scope
  - Not a replacement for formal training


## Compatibility & Prerequisites

* **Supported Versions**:
  - Python 3.8+
  - Node.js 16+
  - Modern browsers (Chrome, Firefox, Safari, Edge)
* **Required AI Tools**:
  - Code editor (VS Code recommended)
  - Testing framework appropriate for language
  - Version control (Git)
* **Dependencies**:
  - Language-specific package manager
  - Build tools
  - Testing libraries
* **Environment Setup**:
  - `.env.example` keys: `API_KEY`, `DATABASE_URL` (no values)


## Test Scenario Matrix (QA Strategy)

| Type | Focus Area | Required Scenarios / Mocks |
| :--- | :--- | :--- |
| **Unit** | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage |
| **Integration** | DB / API | All external API calls or database connections must be mocked during unit tests |
| **E2E** | User Journey | Critical user flows to test |
| **Performance** | Latency / Load | Benchmark requirements |
| **Security** | Vuln / Auth | SAST/DAST or dependency audit |
| **Frontend** | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |


## Technical Guardrails & Security Threat Model

### 1. Security & Privacy (Threat Model)
* **Top Threats**: Injection attacks, authentication bypass, data exposure
- [ ] **Data Handling**: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
- [ ] **Secrets Management**: No hardcoded API keys. Use Env Vars/Secrets Manager
- [ ] **Authorization**: Validate user permissions before state changes

### 2. Performance & Resources
- [ ] **Execution Efficiency**: Consider time complexity for algorithms
- [ ] **Memory Management**: Use streams/pagination for large data
- [ ] **Resource Cleanup**: Close DB connections/file handlers in finally blocks

### 3. Architecture & Scalability
- [ ] **Design Pattern**: Follow SOLID principles, use Dependency Injection
- [ ] **Modularity**: Decouple logic from UI/Frameworks

### 4. Observability & Reliability
- [ ] **Logging Standards**: Structured JSON, include trace IDs `request_id`
- [ ] **Metrics**: Track `error_rate`, `latency`, `queue_depth`
- [ ] **Error Handling**: Standardized error codes, no bare except
- [ ] **Observability Artifacts**:
    - **Log Fields**: timestamp, level, message, request_id
    - **Metrics**: request_count, error_count, response_time
    - **Dashboards/Alerts**: High Error Rate > 5%


## Agent Directives & Error Recovery
*(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)*

- **Thinking Process**: Analyze root cause before fixing. Do not brute-force.
- **Fallback Strategy**: Stop after 3 failed test attempts. Output root cause and ask for human intervention/clarification.
- **Self-Review**: Check against Guardrails & Anti-patterns before finalizing.
- **Output Constraints**: Output ONLY the modified code block. Do not explain unless asked.


## Definition of Done (DoD) Checklist

- [ ] Tests passed + coverage met
- [ ] Lint/Typecheck passed
- [ ] Logging/Metrics/Trace implemented
- [ ] Security checks passed
- [ ] Documentation/Changelog updated
- [ ] Accessibility/Performance requirements met (if frontend)


## Anti-patterns / Pitfalls

* ⛔ **Don't**: Log PII, catch-all exception, N+1 queries
* ⚠️ **Watch out for**: Common symptoms and quick fixes
* 💡 **Instead**: Use proper error handling, pagination, and logging


## Reference Links & Examples

* Internal documentation and examples
* Official documentation and best practices
* Community resources and discussions


## Versioning & Changelog

* **Version**: 1.0.0
* **Changelog**:
  - 2026-02-22: Initial version with complete template structure

Related Skills

error-diagnostics-smart-debug

16
from diegosouzapw/awesome-omni-skill

Use when working with error diagnostics smart debug

error-detective

16
from diegosouzapw/awesome-omni-skill

Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.

error-debugging-multi-agent-review

16
from diegosouzapw/awesome-omni-skill

Use when working with error debugging multi agent review

agent-error-detective

16
from diegosouzapw/awesome-omni-skill

Expert error detective specializing in complex error pattern analysis, correlation, and root cause discovery. Masters distributed system debugging, error tracking, and anomaly detection with focus on finding hidden connections and preventing error cascades.

Qiskit Cirq Quantum Error

16
from diegosouzapw/awesome-omni-skill

This skill covers the development of software for quantum computers, focusing on quantum algorithms, quantum error correction, and hybrid quantum-classical applications. It includes using quantum SDKs

Error Shape Taxonomy

16
from diegosouzapw/awesome-omni-skill

Organization-wide standard error response format covering error codes, categories, and structure that enables clients and monitoring tools to understand errors immediately.

api-error-taxonomy

16
from diegosouzapw/awesome-omni-skill

Define consistent API error codes and responses. Use when a mid-level developer needs error standardization.

api-error-handling

16
from diegosouzapw/awesome-omni-skill

Apply when designing error responses, implementing error handlers, and ensuring consistent error format across APIs.

aiwf:error-tracking

16
from diegosouzapw/awesome-omni-skill

Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.

cfn-error-management

16
from diegosouzapw/awesome-omni-skill

Unified error handling, batching, and logging for CFN Loop. Use when you need to capture agent errors, batch multiple errors for processing, log structured error data, or categorize and recover from agent failures.

agent-error-coordinator

16
from diegosouzapw/awesome-omni-skill

Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention, and automated recovery strategies across multi-agent systems with focus on minimizing impact and learning from failures.

bgo

10
from diegosouzapw/awesome-omni-skill

Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.

Coding & Development