Skill UI

This skill provides comprehensive guidance on load testing and capacity planning for the Perplexity Sonar API. Users learn how to simulate high traffic volumes, respecting strict rate limits (like 50 RPM), benchmark latency, and estimate operational costs. It is essential for performance engineering, capacity architecture design, or stress testing APIs at scale.

Automates Plotly chart creation by offering step-by-step guidance, best-practice patterns, and production-ready code or configuration whenever visual content, diagrams, or presentations need charts.

This skill provides expert guidance on writing highly portable shell scripts that adhere strictly to POSIX standards. It teaches users how to avoid shell-specific extensions (like advanced arrays, specific conditionals, or GNU features) to ensure maximum compatibility and robustness across diverse Unix-like systems (Linux, BSD, Solaris, etc.). Ideal for critical infrastructure scripting and environments requiring extreme cross-platform reliability.

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Automates guidance for outlining presentation slides within visual content workflows, following industry best practices and generating production-ready outputs.

Automates guidance around Prisma schema tasks for backend development, supplying best-practice steps, ready-to-use snippets, and schema validation whenever you invoke the helper.

Auto-activating skill that delivers step-by-step guidance, best-practice validation, and production-ready code for crafting process flow visuals, diagrams, and documentation whenever you invoke the process flow generator.

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

Provides automated guidance and production-ready code for property-based test helper tasks, covering unit, integration, and mocking scenarios within Test Automation workflows.

Automated guidance for configuring Pub/Sub subscriptions within GCP, offering step-by-step best practices, production-ready configurations, and validation against common standards whenever you mention subscription config requests.

Automates Google Cloud Pubsub topic setup with step-by-step guidance, best practices, production-ready configurations, and validation tailored for GCP skills workflows.

This skill provides guidance and patterns for generating pairwise test cases. Pairwise testing is an advanced testing technique used in software quality assurance (QA) to ensure that every combination of two input parameters is tested. It is highly effective for complex systems with multiple interacting variables, helping developers improve test coverage efficiently while minimizing the overall number of required test cases.