Skill UI

This skill coordinates the complex parallel execution of end-to-end, integration, and unit tests across multiple frameworks (e.g., Jest, Playwright, pytest) and CI/CD environments. It manages test splitting, worker allocation, tiered execution strategies, and aggregates results into unified reports. Ideal for optimizing the testing lifecycle and ensuring robust quality assurance in large-scale, multi-component applications. Key functions include intelligent retry logic for flaky tests and building CI pipelines (e.g., GitHub Actions matrix).

This skill provides a comprehensive pattern for optimizing bulk API interactions. It enables efficient processing of large arrays of operations by supporting both synchronous (for small batches) and asynchronous (for large batches) execution. Key features include concurrency control, robust partial failure handling, progress tracking via background workers, and dedicated validation steps, ensuring reliable data throughput for high-volume requests.

This guide details the production-grade reference architecture for running complex GPU compute workflows on Vast.ai. It covers the foundational three-tier pattern—Orchestrator, GPU Workers, and Artifact Storage—providing blueprints for job queue management, fault-tolerant training pipelines, and robust checkpointing. Use this when designing scalable and reliable ML/AI training systems.

Guides training large language models with Volcano Engine's verl library, covering PPO/GRPO workflows, distributed backends, multi-turn rollouts, reward configs, critic-enabled PPO, and production deployments using Ray workers.

Guides building async worker pipelines for real-time conversational voice agents with streaming transcription, LLM reasoning, and interrupt-aware TTS across providers.

Automate Workday HR operations from a Claude Code terminal by looking up workers, submitting time off requests, checking absence balances, and validating eligibility with natural language commands.

Provides durable workflow automation guidance for AI agents, covering platforms like n8n, Temporal, Inngest and patterns such as sequential, parallel, and orchestrator-worker flows to turn brittle scripts into production-grade orchestration.

Expert skill for building modern, production-ready Chrome Extensions using Manifest V3 standards. Covers advanced topics including service worker management, content script injection, secure cross-context communication (message passing), and implementing best practices like `declarativeNetRequest` and secure storage APIs.

Expert resource for designing, deploying, and optimizing serverless applications on the Cloudflare Edge Network. Covers advanced topics including Workers, KV, D1, Durable Objects, and R2 storage. Ideal for building high-performance, low-latency full-stack applications and implementing edge security features.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

This comprehensive guide details how to establish secure and robust API endpoints using Expo Router and EAS Hosting. Learn best practices for handling server-side secrets (API keys, credentials), proxying third-party services (like OpenAI), executing secure database operations, and implementing complex business logic entirely on the server. It covers file structure, HTTP methods, and deployment to Cloudflare Workers.

Diagnose and fix Odoo performance bottlenecks by tuning PostgreSQL queries, adjusting worker/memory limits, and applying profiling insights to achieve faster page loads and stable production behavior.