Skill UI

This guide provides expert architectural patterns for implementing robust authentication using Clerk in Next.js 14/15 App Router. It covers essential setups like ClerkProvider, middleware route protection (including role/permission checks), and accessing user data in Server Components and Server Actions. Ideal for building secure, scalable, and enterprise-grade web applications.

This comprehensive guide details how to configure robust CI/CD pipelines for applications secured by Clerk authentication. It covers setting up GitHub Actions workflows, utilizing Playwright for end-to-end (E2E) testing, managing test user states, and scripting user seeding for reliable automated testing environments. Essential for developers integrating Clerk into their build and deployment process.

A comprehensive guide demonstrating how to implement robust authentication using Clerk across various modern web environments, including Next.js Server Components, Client Components, API routes, and Server Actions. Learn best practices for securing endpoints, managing session data, and handling authenticated requests from end-to-end.

Automate Clickmeeting interactions through Composio’s Rube MCP toolkit by always discovering up-to-date tools, checking active connections, and executing RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments.

Expert guide for designing robust, scalable, and resilient backend systems. Covers modern patterns including Microservices, Event Sourcing, CQRS, and advanced API contracts (REST, GraphQL, gRPC). Specializes in defining service boundaries, implementing distributed transactions (Saga), and integrating comprehensive security measures like OAuth 2.0 and mTLS.

Provides comprehensive guidance for developing robust, cross-platform Command Line Interface (CLI) applications. Covers the entire workflow from initial UX analysis and command design to implementation using popular frameworks (e.g., commander, click, cobra). Key features include advanced argument parsing, handling shell completions, displaying progress bars, and ensuring reliable terminal interactions across Windows, macOS, and Linux.

Learn how to integrate CodeRabbit as a mandatory Continuous Integration (CI) gate within your GitHub repository. This comprehensive guide demonstrates setting up branch protection rules, creating GitHub Actions workflows, and enforcing CodeRabbit's reviews to ensure high code quality before merging. Includes advanced setup for PR size checks and notification mechanisms.

This pattern demonstrates how to automate workflows around CodeRabbit reviews. By utilizing GitHub API, TypeScript, and Bash scripting, users can programmatically fetch review results, extract detailed line-level comments, trigger specific CodeRabbit actions (like 'summary' or 'resolve'), and implement CI/CD gates to enforce quality standards before merging.

This skill provides a comprehensive, actionable overview of the Conductor project's status. It aggregates information from project plans, active tracks, and detailed specifications to display overall progress, identify next critical tasks, and flag potential blockers. Use it when you need a high-level dashboard view of project health and required actions.

A comprehensive guide for treating project context as a managed, first-class artifact alongside code. It establishes systematic documentation (e.g., product vision, tech stack, workflow) to ensure consistent requirements, maintain team alignment, and optimize AI interactions throughout the entire development lifecycle. Essential for greenfield and brownfield projects.

This skill set provides advanced, structured strategies for optimizing Large Language Model (LLM) interactions. It covers techniques such as intelligent context summarization, dynamic trimming, context routing, and precise token budget allocation to prevent 'context rot'. It is essential for building robust, long-running, multi-turn conversational AI systems.

This advanced system transforms session interactions into reusable, atomic knowledge units called "Instincts." By hooking into tool usage and session activity, it observes patterns (like preferred coding styles, error fixes, or repeated workflows). These instincts are then clustered and "evolved" into structured Skills, Commands, or specialized Agents, capturing deep contextual knowledge with weighted confidence scoring to enhance development productivity.