Skill UI

This guide outlines the comprehensive reference architecture for building advanced, AI-powered search and research applications, modeled after Perplexity. It covers three core tiers: a searchable service with model routing and caching, a citation pipeline for validation and rendering, and an orchestrator for multi-query research synthesis. Use this when designing complex, production-grade, search-augmented LLM integrations or reviewing advanced system patterns.

Quick reference of PostgreSQL best practices covering indexing cheatsheets, data type choices, security policies, and configuration templates to guide optimization and troubleshooting workflows.

This guide provides a comprehensive, production-grade architecture for implementing analytics using PostHog. It covers best practices for event taxonomy design, SDK layering (client and server), feature flag management, and integrating the data pipeline (CDP). Ideal for tracking user lifecycle, feature adoption, and revenue in complex web applications.

Automates Prisma operations through Composio's Rube MCP by always discovering updated tool schemas, ensuring active toolkit connections, and executing workflows with schema-compliant arguments; includes quick references for search, connect, and execute steps.

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.

This skill specializes in creating exhaustive, searchable, and highly structured technical references. It generates comprehensive API documentation, detailed parameter listings, configuration guides, and schema definitions, ensuring the output serves as the definitive source of truth for any technical system.

This comprehensive guide serves as a quick reference for diagnosing and fixing the most common technical errors encountered in the Replit development environment. It covers critical infrastructure issues such as container lifecycle failures, port binding conflicts, Nix build failures, database limitations, and deployment timeouts, ensuring users can effectively troubleshoot and maintain continuous development workflows.

This guide provides a comprehensive reference architecture for building robust, production-grade applications on Replit. It covers best-practice project layouts, system-level configurations (like replit.nix), data layer strategies (PostgreSQL, KV, Object Storage), and secure deployment techniques. Use it when starting a new Replit project, optimizing existing codebases, or establishing enterprise-level architectural standards.

Provides implementation patterns and reference architecture for building advanced AI voice agents and automating complex phone call workflows using the Retell AI SDK. This skill is designed for developers requiring robust voice interaction, real-time telephony integration, and comprehensive conversational AI capabilities in their applications.

Automates sdk documentation tasks by guiding users through best practices, producing production-ready docs, and validating outputs for APIs, user guides, and architecture reference.

Provides language- and framework-specific security best practices guidance by loading reference documents, detecting vulnerabilities, and generating prioritized reports when asked.

Guides you through building custom Semgrep rules with a testing-first workflow, AST analysis, and taint-mode preference to catch vulnerabilities or bug patterns while steering clear of overly broad or unverified shortcuts.