Skill UI

Simulates a highly structured, sequential peer-review process using multiple specialized AI agents (e.g., Skeptic, Constraint Guardian, User Advocate). This skill is designed to rigorously stress-test a design, surface hidden assumptions, identify potential failure modes, and enforce non-functional constraints before implementation. It transforms initial concepts into robust, validated specifications by simulating formal critique and achieving consensus via a mandatory Decision Log.

Guides performance testing teams through network latency tester tasks by suggesting best practices, generating production-ready scripts/configs, and validating results across load, stress, benchmarking, and monitoring scenarios.

Automated skill that assists with percentile analyzer workflows in performance testing, guiding users through load, stress, benchmarking, and monitoring setups with best practices.

Guides teams through automated performance baseline creation, offering templates, validation rules, and best-practice checklists for load, stress, and benchmarking workflows within performance testing efforts.

Automates load, stress, spike, and endurance tests through the performance-test-suite plugin, collecting response time, throughput, and error-rate metrics to spot CPU/memory/database/network bottlenecks and deliver graphs plus optimization guidance.

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.

This skill acts as an expert risk manager, providing comprehensive guidance on monitoring portfolio risk, calculating R-multiples, and optimizing position limits. It covers advanced quantitative finance topics such as Value at Risk (VaR), correlation analysis, and stress testing using Monte Carlo simulations. Use it for systematic risk assessment, developing hedging strategies (options/futures), and implementing rigorous risk controls in trading workflows.

Creates and executes load tests with tools like k6, JMeter, or Artillery to validate application performance under baseline, stress, spike, or scalability scenarios while defining thresholds and providing execution guidance.

This skill provides a comprehensive suite for executing load testing, stress testing, and performance benchmarking. Use it to simulate peak traffic, identify system bottlenecks, and verify compliance with Service Level Agreements (SLAs). It supports industry-standard tools like k6, Artillery, Locust, and JMeter for robust performance analysis.

Soak Test Planner automates guidance for long-duration performance testing; it triggers when soak test patterns are mentioned, helps configure load, stress, and benchmark scenarios, generates ready-to-run code and configs, and validates outputs against industry standards.

Automates spike test setup workflows by offering guided steps, best practices, code snippets, and validations across load/stress benchmarking and monitoring scenarios.

Automates stress test configuration guidance for performance testing workflows, offering best practices, production-ready snippets, and validation against standards whenever you mention or request stress test config help.