Skill UI

This expert skill specializes in generating comprehensive, structured documentation for microservices and containerized architectures using the C4 Model. It covers system boundaries, container definitions, technology stacks, inter-container communication protocols, API specifications (OpenAPI/Swagger), and deployment infrastructure (e.g., Docker, Kubernetes). Ideal for documenting complex system deployments and mapping architectural relationships.

An expert tool for generating high-level system context documentation using the C4 Model. This skill helps define system boundaries by documenting key personas, user journeys, core features, and external dependencies. It provides a stakeholder-friendly overview, ideal for initial architectural planning and system scoping.

This meta-skill is designed to guide and execute structured developmental workflows, enabling continuous skill improvement and knowledge transfer. It is applicable when a task requires following a defined developmental process. Users must ensure all necessary inputs, permissions, and success criteria are provided, and must treat the output as a guide, supplementing professional validation.

This skill is designed to execute complex, structured workflows and actions based on a defined overview. It facilitates systematic process completion and adherence to scope. Users must ensure the task precisely matches the skill's scope, and remember that the output is not a substitute for manual validation or expert review.

This skill automatically collects raw activity data (merged PRs, issues, commits, and optional Slack updates) from repositories. It formats this data using predefined templates, runs quality checks, and prepares a structured changelog draft. It can automatically commit the draft to a new branch and open a Pull Request (PR) for review, making it ideal for generating weekly or monthly release notes.

This skill provides comprehensive guidance on using LibreOffice Base for full-cycle database management. Users can create ODB databases, define schemas, manage tables, and establish relationships. It supports connecting to various external databases (MySQL, PostgreSQL, etc.), performing complex data operations, and automating professional reports and forms using SQL and Python scripting (UNO). Ideal for building data-driven applications.

A comprehensive guide and set of patterns for optimizing build processes using Bazel in large-scale monorepositories. Covers configuring WORKSPACE, managing remote caching/execution, defining custom rules (Python, TypeScript), and best practices for maintaining build performance and consistency across massive codebases.

This skill defines structured behavioral frameworks (e.g., Brainstorm, Implement, Debug, Review, Teach, Ship) to guide the AI's output and approach based on the specific task phase. It optimizes performance by ensuring the AI adopts the correct mindset and output format—from initial ideation to final deployment—guaranteeing systematic, high-quality results across the entire development lifecycle.

Guides performance engineers through defining, coding, and validating benchmark suites for load, stress, and performance monitoring scenarios, following established best practices and standards.

A comprehensive guide focused on mastering the Entity Component System (ECS) architecture within the Bevy game engine using Rust. Learn best practices for building high-performance, data-oriented game logic. This covers defining components, writing parallel systems, managing global resources, and optimizing queries for efficient, scalable game development.

A comprehensive guide for building production-grade Web3 applications, smart contracts, and decentralized systems. Covers expertise in DeFi protocols, NFT platforms, DAOs, cross-chain interoperability, and advanced smart contract security patterns (Solidity, Rust). Ideal for developers building complex, resilient decentralized finance (DeFi) and enterprise-grade blockchain solutions.

Automates Botbaba operations through Composio's toolset by using the Rube MCP protocol; it enforces schema discovery, connection checks, and multi-tool execution so Botbaba workflows run reliably with current tool definitions.