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Guidelines for implementing robust, user-friendly error handling: exceptions, centralized boundaries, retry strategies, graceful degradation, and resource clean
The Global Error Handling skill gives an assistant concise, language-agnostic guidance for designing and implementing error handling patterns. It covers when to raise or catch exceptions, how to present user-friendly messages, approaches for fail-fast validation, centralized error boundaries (e.g., React error boundaries or middleware), retry/backoff strategies, and safe resource cleanup. The aim is to help developers produce resilient, observable, and user-friendly failure-handling code.
Use this skill when writing try/catch logic, creating custom exception types, handling API or external service failures, implementing error middleware, designing retry logic, adding cleanup in finally blocks, or documenting error messages for end users. It is appropriate across languages and stacks and is especially useful when an agent must standardize error handling in code reviews or templates.
Useful for code-generation and review agents (Claude Code, Copilot-like agents, or any assistant that writes/edits code). The guidance is high-level and best applied by agents that can produce idiomatic code in the target language.
This skill has not been reviewed by our automated audit pipeline yet.
Algolia Cost Tuning
Practical guide to reduce Algolia billing by auditing records/requests, switching to virtual replicas, multi-query usage, caching, and cleanup strategies.
Anthropic Security Basics
Practical security practices for Anthropic Claude integrations: API key management, input validation, prompt-injection defenses, and output scanning.
Colorize — Strategic UI Color Introduction
Introduce purposeful color to monochromatic interfaces to improve hierarchy, meaning, and visual engagement while preserving accessibility.
Input Validation Checker
Automated guidance and code patterns for implementing robust input validation and secure-coding practices (OWASP-aligned).
Plotly Chart Generator
Generates Plotly charts and production-ready code for visualizations; validates outputs and follows best practices for charts and presentations.
Security Headers Generator
Auto-activating skill that generates and validates security HTTP headers and provides guidance for implementing secure header configurations.
Turborepo Guidance
Practical Turborepo guidance for JavaScript/TypeScript monorepos: task configuration, caching, filtering, and CI best-practices.
Exa Webhooks & Events
Patterns and example code for building webhook-style monitors and alerts around Exa neural search (scheduled monitors, similarity alerts, digests).
Test Orchestrator Skill
QA orchestration skill: defines test strategy, assigns unit/integration/E2E suites, enforces coverage thresholds, and coordinates CI test execution.
Splitwise Automation (Composio/Rube MCP)
Automation patterns for Splitwise via Composio's Splitwise toolkit over Rube MCP; includes discovery, connection checks, and safe execution patterns.
Websocket Client Creator
Generates and guides websocket client integrations: configuration, code samples, best practices, and validation for production-ready websocket clients.
Canary — Post-Deploy Visual Monitor
Run a short post-deploy monitor that captures screenshots, checks console errors, and compares performance against baselines to detect regressions and page fail
Monitoring Stack Deployer
Deploy and configure production-ready monitoring stacks (Prometheus, Grafana, Datadog) with collectors, dashboards, and alerting rules for Kubernetes, Docker, o
Node.js Best Practices
Guidelines and decision-making for Node.js architecture, runtime, async patterns, security, validation, and testing to inform framework and system choices.
Pytest Plugins Guide
Guidance on the pytest plugin ecosystem: plugin development, pytest-cov, pytest-mock, configuration, CI integration, and advanced patterns.
Evolve SDK
SDK and guides for building and running CLI agents in secure sandboxes (TypeScript & Python).
Datadog Live Debugger (dd-debugger)
Place live log probes on running services to capture runtime arguments and variables without redeploying (Datadog Live Debugger).
Docker Compose Generator
Generate and validate Docker Compose files for multi-container apps with templates, best-practice guidance, and deployment/runbook outputs.