Skill UI

Conducts in-depth security audits across code, infrastructure, and configurations using the security-pro-pack toolkit to surface vulnerabilities, compliance gaps, and cryptographic weaknesses along with actionable remediation guidance.

Automates vulnerability scans for applications and APIs via the security-test-scanner plugin, covering OWASP Top 10, SQL injection, XSS, CSRF, authentication, and authorization weaknesses while generating detailed remediation reports.

This skill provides comprehensive, multi-layered diagnostic scripts for resolving complex and intermittent issues with the Perplexity Sonar API. It allows users to test connectivity (DNS, TLS, TCP), profile API latency, validate citation stability, and verify search recency filters. It is crucial when standard troubleshooting methods prove insufficient for diagnosing hard-to-replicate API bugs or performance regressions.

This guide provides advanced strategies for developers to significantly reduce Perplexity Sonar API billing costs. It covers key techniques including model routing (selecting the right model by query type), setting maximum output tokens, implementing robust query caching, and utilizing domain filters to minimize per-request charges. Essential for building cost-effective, high-volume AI applications.

A comprehensive guide and implementation for setting up a fast, cost-effective local development loop for the Perplexity Sonar API. It includes generating type-safe client wrappers, utilizing fixtures for reliable mocking, and establishing a complete test suite with hot-reloading capabilities. This ensures stable development and manages high API call costs during iteration.

This guide details the process of migrating search and LLM functionalities from legacy APIs (Google CSE, Bing, SerpAPI) to Perplexity Sonar. It demonstrates how to utilize the Strangler Fig pattern to build a robust adapter layer. The primary benefit is consolidating a complex, multi-step pipeline (Search -> Raw Results -> LLM Summarization) into a single, efficient API call, ensuring automatic citation handling and streamlined development.

This skill provides comprehensive patterns for building highly reliable applications that interact with external Large Language Model (LLM) APIs, such as Perplexity Sonar. It implements critical reliability techniques including Circuit Breakers, Model Fallback, Streaming Timeout handling, and Caching layers. Use this to ensure your application maintains high availability and graceful degradation even when external services experience intermittent failures or variable performance.

This comprehensive guide assists developers in migrating their code and API calls when Perplexity updates its model generations or changes API parameters. It provides a clear map from legacy models (pplx-api) to the current Sonar family (sonar, sonar-pro), covering model name changes, base URL updates, parameter adjustments, and SDK upgrade steps. Use this guide whenever you encounter deprecation warnings or need to ensure compatibility with the latest Perplexity Sonar models.

Automates Pinia store setup with best practices, config generation, and validation for frontend projects spanning React, Vue, CSS, accessibility, and performance needs.

Automates Claude Code plugin audits whenever audit or security keywords appear, checking for vulnerabilities, compliance with CLAUDE.md standards, marketplace/MCP requirements, best practices, documentation, and repository hygiene before emitting a structured report.

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.

Provides PostgreSQL optimization advice covering index design, query plan inspection, partitioning, JSONB tweaks, connection pooling, and tuning checkpoints to stabilize OLTP workloads.