Skill UI

An advanced reliability wrapper for AI agents that monitors, manages, and recovers from tool call failures. It automatically handles common issues such as truncated JSON responses, API timeouts, rate limits, and mid-chain process breakdowns. By implementing sophisticated failure classification, checkpointing, and learning mechanisms, Guardian ensures complex, multi-step agent workflows remain stable and resilient.

This skill generates appropriate user feedback states for components and pages, including loading skeletons, empty states, error messages, and success toasts. It ensures consistent UI presentation by implementing specific design patterns for data-dependent areas, handling partial or full failures, and providing retry mechanisms. It follows design language references for animations and accessibility, suitable for React-based frontend development workflows.

Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation. This skill ensures temporary files are removed after use, interactive data persists until closed, and shared caches are protected. It covers Python implementation for safe file handling, atomic moves, and idempotent cleanup logic to prevent data leaks or corruption during processing.

A critical skill for reviewing WooCommerce extensions, payment integrations, and checkout logic before deployment. Ensures code follows security standards, HPOS compatibility, proper data handling, and runtime discipline to prevent systematic AI failures.

Workflow automation ensures AI agents and business processes remain reliable despite failures. This skill covers durable execution patterns and platforms like n8n, Temporal, and Inngest. It transforms brittle scripts into production-grade systems handling sequential, parallel, and orchestrator-worker patterns for payment flows, document analysis, and background jobs.

Cloudish enables deploying Docker containers, source code, or images to a live HTTPS URL without local Docker installation. It builds images server-side, manages API keys with prepaid credits, and supports persistent storage for databases. Agents can prepare projects, deploy them, and diagnose failures using build logs. Ideal for hosting apps, APIs, or bots on Cloudish's platform.

Diagnose why one Twitter/X or LinkedIn post underperformed by separating distribution failure, weak hook, and wrong ask, then recommending a single fix.

Audit an existing Cypress suite for flake-prone anti-patterns such as fixed cy.wait() delays, force: true, and APIs removed in Cypress 12-16. Provides a zero-dependency scanner and step-by-step fixes to stabilize tests without hiding failures behind retries or longer timeouts. Use when asked to fix flaky Cypress tests, remove cy.wait, or prepare for Cypress upgrades.

This skill helps design and review API contract tests between providers and consumers. It focuses on verifying wire-level behavior during schema changes, compatibility regressions, and client integration failures. By using local fixtures and existing tools, it ensures type assertions alone are not validation. It classifies changes as breaking or compatible, builds test matrices for various scenarios, and verifies boundaries without provisioning new services.

Design and verify runtime progress output for Python, PowerShell, and Node.js batch scripts. Covers start, progress, per-item failures, summaries, stdout separation, and exit-status consistency.

Build Quarkus native executables using Mandrel/GraalVM, resolve native reflection failures, test native binaries, and generate container images and Kubernetes/OpenShift manifests. Ideal for native, Docker, Jib, or Kubernetes tasks in Quarkus projects.

A disciplined approach for diagnosing hard bugs and performance regressions. This skill guides users to build tight feedback loops, reproduce issues, and minimize scenarios before hypothesizing. It emphasizes redacting secrets, creating deterministic tests, and avoiding premature assumptions. Use when debugging complex failures or performance issues in software development.