Skill UI

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

A critical discipline for managing expenses when integrating paid AI or inference APIs. This guard treats dollar cost as a third complexity dimension, mandating the definition of cost contracts (max calls per run, max budget per run, max budget per day). It enforces best practices for bounding loops, retries, and fan-out, ensuring that code bugs cannot lead to unexpected overspending. Best practice requires configuring hard caps both in the code and at the provider dashboard for defense in depth.

Create effective operational runbooks, standard operating procedures, and troubleshooting guides for on-call engineers. Includes templates for service documentation, recovery procedures, and automation scripts for common tasks like database failover and health checks.

This skill provides comprehensive guidelines for writing idiomatic and efficient Rust code. It covers key topics such as ownership, borrowing, error handling, iterators, pattern matching, structs, enums, and concurrency. It helps developers avoid common anti-patterns and adopt best practices for production-ready Rust applications.

This skill provides comprehensive, production-grade patterns for asynchronous programming in Rust using the Tokio runtime. It covers essential concepts like tasks, channels, and streams, along with robust error handling techniques. Use it when developing concurrent network services, building complex async applications, or optimizing performance in Rust.

This guide provides comprehensive patterns for designing and implementing secure multi-tenant SaaS applications using shared databases. It covers critical techniques like Row-Level Security (RLS) in PostgreSQL, implementing tenant-aware middleware in TypeScript (Express/Fastify), and enforcing data scoping at the ORM level (Prisma/Drizzle). Learn how to prevent data leakage and manage tenant isolation across shared schemas.

This comprehensive guide facilitates the development of a production-ready Minimum Viable Product (MVP) for a SaaS business. It covers the entire lifecycle, including idea validation, modern tech stack selection (Next.js, Supabase, Stripe), architectural design for multi-tenancy, database schema planning, authentication setup, payment integration, and a detailed pre-launch checklist for technical and marketing readiness.

This skill provides patterns for managing distributed transactions and long-running business processes. It helps coordinate multi-service transactions, implement compensating transactions, and handle failures in distributed systems. Suitable for building order fulfillment and approval workflows in microservices architectures.

Automates Salesforce CRM workflows through Rube MCP's Composio toolkit, letting you manage leads, contacts, accounts, opportunities, SOQL queries, and tasks with guided tool sequences and prerequisites.

This skill provides expert patterns for Salesforce platform development, covering Lightning Web Components, Apex triggers, REST/Bulk APIs, and External Client Apps. It supports Salesforce DX with scratch orgs and 2nd generation packages. Ideal for developers building scalable solutions on the Salesforce ecosystem.

Guides Sankhya dashboard developers on HTML/JSP/Java patterns, SQL sanitization, BI parameterization, and UI/UX consistency so dashboards load reliably with lazy-loading states and structured queries.

This skill covers the setup and configuration of Static Application Security Testing (SAST) tools like Semgrep, SonarQube, and CodeQL. It guides users on creating custom security rules, integrating scans into CI/CD pipelines, and managing quality gates. The process includes optimizing scan performance, reducing false positives, and ensuring compliance with security policies across multiple programming languages.