Skill UI

Configure robust role-based access control (RBAC) for Granola workspaces, essential for enterprise-level data security and governance. This guide details setting up role hierarchies (Owner, Admin, Member, Viewer), defining granular permissions, integrating SSO/SCIM for automated provisioning, and implementing least-privilege access principles. It also covers advanced features like per-workspace sharing policies and detailed audit logging to ensure regulatory compliance.

A comprehensive guide to implementing advanced LLM patterns using the Groq API. This workflow demonstrates how to handle chat completions, robust tool/function calling for integrating external services (like weather or search), and enforcing structured data output using JSON mode and strict schemas. Ideal for building real-time, production-grade AI features.

A comprehensive guide to using Groq's high-speed LPU for chat completion. This resource provides code examples in TypeScript and Python, covering basic chat interactions, streaming responses, and advanced multimodal features. Ideal for developers building high-performance, low-latency AI applications using the Groq API.

This comprehensive guide assists developers in upgrading the groq-sdk package and migrating away from deprecated Groq model IDs. It provides step-by-step instructions, model deprecation timelines, and best practices for maintaining compatibility with the latest Groq API features, ensuring smooth integration with the rapidly evolving Groq ecosystem.

A comprehensive guide to the Apple Human Interface Guidelines (HIG), detailing best practices for designing seamless and intuitive user experiences across various interaction scenarios. It covers key principles such as minimizing modality, providing clear feedback, handling data entry, progressive onboarding, and managing complex features like sharing and drag-and-drop, ensuring your application feels native and polished.

A comprehensive skill designed to manage, track, and persist image assets generated by Ideogram's API. This tool addresses the critical issue of expiring image URLs by implementing a complete lifecycle pipeline. It handles metadata tracking (prompt, seed, model, style, etc.), immediate downloading, and robust storage to both local filesystems and cloud solutions like S3. Features include asset persistence, generation history logging, and image reproduction using stored seed values.

An expert guide for building scalable, cloud-native enterprise applications using the latest Java 21+ features, including Virtual Threads and Pattern Matching. Deep mastery of the Spring Boot 3.x ecosystem, Spring Cloud, and microservices architecture. Covers full development lifecycle, from JVM performance tuning (GraalVM, ZGC) to robust testing (Testcontainers) and secure DevOps practices (Kubernetes, CI/CD).

This skill acts as an expert architect for scaffolding robust, production-ready applications using TypeScript. It generates complete, structured project templates for various types, including Next.js full-stack apps, React/Vite SPAs, and Node.js APIs. It incorporates modern tooling like pnpm, Vite, and Next.js features, ensuring type safety, proper dependency management, comprehensive testing setups, and adherence to current industry best practices. Use it to accelerate project setup and maintain scalable architecture.

This module implements comprehensive Role-Based Access Control (RBAC) for multi-tenant LangChain applications. It provides granular permission models for controlling model access, tool execution, and chain invocation. Key features include multi-tenant data isolation in vector stores, enforcing usage quotas (token limits), and integrating middleware for robust security enforcement. Ideal for building secure, scalable, and compliant enterprise LLM systems.

Implement comprehensive end-to-end tracing for Large Language Model (LLM) calls, chains, and complex agents using Langfuse. This workflow demonstrates techniques like OpenAI drop-in wrappers, manual span creation for RAG pipelines, tracking streamed responses, and integrating with various LLM providers (OpenAI, Anthropic). Use this to monitor latency, track token usage, and debug complex AI features in production.

This skill provides comprehensive guidance for senior-level Laravel engineering. It focuses on building production-grade, maintainable, and highly secure applications using modern architectural patterns (clean architecture, services, etc.). Use this when developing new features, refactoring complex code, designing robust APIs, or optimizing database interactions within a Laravel environment. Adheres to best practices like Eloquent optimization and proper authentication flows.

This comprehensive guide details how to configure robust Role-Based Access Control (RBAC) for Lindy AI workspaces. It is essential for setting up team permissions, managing complex workspace access, and enforcing enterprise security policies. Learn how to implement advanced features like SSO, SCIM synchronization, and detailed audit logging to ensure data security and separation of duties across large organizations.