Skill UI

This guide provides a comprehensive reference for diagnosing and fixing common errors and exceptions encountered when interacting with the Perplexity Sonar API. Use this when troubleshooting API integration issues, handling specific HTTP status codes (like 401, 429, 402), or debugging failed requests. It covers best practices for rate limiting, key validation, and implementing robust error handling logic.

This tool is designed to collect comprehensive diagnostic evidence for troubleshooting Perplexity API issues. It automatically gathers critical environment details (OS, Node/Python versions), tests API connectivity, and captures redacted configuration settings. The resulting secure bundle is ideal for submitting detailed support tickets or sharing with technical teammates.

Phoenix is an open-source observability platform for tracing, evaluating, and monitoring LLM applications; use it to debug prompts, run dataset evaluations, build experiment pipelines, and watch production inference in real time.

This skill provides a rigorous framework for tackling complex software development tasks. It guides users to break down large features, refactoring efforts, or bug fixes into small, actionable, and independently verifiable steps. By focusing on clear outcomes, dependencies, and specific verification criteria, it ensures that the implementation process is structured, manageable, and traceable from start to finish.

A specialist skill for writing robust, maintainable, and scalable End-to-End (E2E) tests using Playwright. This guide covers setting up test infrastructure, implementing Page Object Model (POM), using role-based selectors, handling API mocking, and debugging flaky tests. Ideal for integrating quality checks into CI/CD pipelines and performing complex browser automation.

This comprehensive guide provides solutions for common PostHog integration issues, helping developers diagnose and fix tracking failures. It covers critical topics including event capture problems, feature flag misbehavior, API authentication errors (401/429), and user identity fragmentation. Learn best practices for robust data analytics implementation.

Automates the collection of comprehensive diagnostic evidence for PostHog support tickets. This bundle gathers runtime environment details (Node, Python versions), SDK versions, API connectivity status to US/EU clouds, feature flag settings, event flow testing results, and redacts sensitive environment variables. It provides a structured, support-ready archive for rapid troubleshooting.

This guide provides a comprehensive workflow for setting up a robust local development environment for PostHog integrations. It covers enabling debug mode for real-time event inspection, implementing mocking strategies for stable unit testing, and configuring integration tests using a dedicated development PostHog project. Use this when building or testing analytics tracking features with posthog-js or posthog-node to ensure fast, isolated development cycles.

This skill provides comprehensive methodologies for capturing, analyzing, and documenting network protocols. It is crucial for security researchers, developers ensuring interoperability, and engineers debugging complex network communications by understanding the underlying data exchange mechanisms.

Centralizes proven red team methodologies into an automated reconnaissance and vulnerability discovery workflow that sequences asset discovery, live host validation, fingerprinting, content hunting, and exploit surface analysis for bug bounty and defensive assessments.

Provides red team workflows combining subdomain enumeration, live host discovery, technology fingerprinting, XSS hunting, API fuzzing, and automated recon scripting to support bug bounty hunters and security researchers.

Provides systematic methods for diagnosing complex, intermittent errors in the Replit environment. This guide covers advanced topics like container lifecycle issues, Nix build failures, memory leaks, and deployment crash loops using sophisticated shell scripting and runtime monitoring techniques. Use when standard troubleshooting steps fail to identify the root cause.