Skill UI

This skill guides users through structured workshops to define comprehensive product features from scratch. It adopts dual perspectives (Product Manager and Developer) to gather detailed requirements, user stories, and non-functional needs. The output includes EARS-formatted functional requirements, testable acceptance criteria (Given/When/Then), and detailed implementation checklists, ensuring the feature is complete and ready for development.

Generates Helm charts for Kubernetes applications, handling requirements gathering, chart creation via plugins, and delivering ready-to-deploy configurations for new or updated deployments.

Generates production-ready stored procedures, functions, and triggers for PostgreSQL, MySQL, or SQL Server by analyzing requirements, using the stored-procedure-generator plugin, and returning optimized SQL code for complex logic, integrity, and transaction safety.

This guide details the use of the GGUF format and quantization techniques for running large language models (LLMs) efficiently. GGUF enables optimal inference on consumer hardware, Apple Silicon, and systems requiring CPU-only operation. By compressing models using various K-quant methods (like Q4_K_M), developers can significantly reduce memory footprint and hardware requirements while maintaining high performance.

Automate Gigasheet operations through Composio’s Rube MCP toolkit by always discovering current tool schemas, managing the Gigasheet connection, and executing workflows with RUBE_MULTI_EXECUTE_TOOL. Follow the setup steps, reuse sessions, and honor schema compliance and memory requirements for reliable data tasks.

This skill automatically gathers and structures comprehensive context for Apple product development. It analyzes existing project files (like README, Info.plist, and code) and prompts the user for details across product overview, target platforms, technology stack, design system, and accessibility requirements. The output is a structured context document used by other specialized skills to ensure consistent, informed design and development decisions.

This module provides a compliance-grade, tamper-evident logging solution for tracking all Kling AI operations. It records task submissions, status changes, and credential usage into structured, hashed logs. Use this when meeting regulatory compliance requirements or preparing for internal/external security audits.

Guides use of Composio’s Rube MCP toolkit to locate Lexoffice tools, verify connections, obey schema requirements, and execute multi-step workflows for automating accounting tasks securely.

This guide provides production-grade architectural patterns for integrating with the Linear API. It helps developers choose the optimal strategy—be it Simple SDK calls, Service-Oriented Gateways with caching, or Event-Driven Webhooks—based on system complexity, scale, and real-time requirements. Includes patterns like CQRS and rate limiting best practices.

This guide provides comprehensive principles for developing games specifically for mobile platforms. It covers essential technical constraints and best practices, including optimizing for touch input, managing battery life and thermal performance, adhering to platform-specific requirements (iOS/Android), and selecting appropriate monetization models. Use this when designing highly optimized, user-centric mobile gaming experiences.

Automates Moz tasks through Composio’s Rube MCP workflow by discovering tool schemas, validating toolkit connections, and sequencing multi-step executions while respecting session and memory requirements.

Converts product or technical specs into detailed Notion implementation plans, tasks, and progress logs so Claude code can execute requirements tracking from inception to completion.