Skill UI

Provides senior-level guidance on Brazilian judicial and extrajudicial property auctions, combining legal, appraisal, market, and risk modules to recommend bidding strategies and investor actions.

A powerful tool utilizing Rube MCP to automate interactions with Make (formerly Integromat) scenarios. It allows users to retrieve detailed operation logs, monitor usage data, and validate critical configuration parameters such as supported languages and timezones. Ideal for building comprehensive workflow monitoring dashboards and ensuring the integrity of complex integration pipelines.

This skill provides guidance on Makepad 2.0's two-layer event system for building UI code. It covers Splash inline handlers like on_click and on_render, and Rust MatchEvent trait methods. Use this when developing Makepad applications to handle user interactions, dynamic rendering, and business logic efficiently.

This skill enables packaging and deploying Makepad applications across multiple platforms including Desktop, Android, iOS, and Web. It covers using cargo-packager and cargo-makepad for creating installers like .deb, .dmg, .apk, and .ipa. It also guides on setting up GitHub Actions for CI/CD workflows and managing resources for distribution.

Expert guidance on Makepad event and action handling, covering Event enum variants, Hit processing, widget actions, and patterns for widget-to-parent communication. Suitable for UI interaction, lifecycle, and input event handling in Makepad applications.

This skill provides a marketer's decision framework rather than a tactic library. It helps users determine where first customers come from, evaluate if actions produce results, and judge marketing tests. It analyzes context like product, offer, and budget to return reasoned verdicts on whether to proceed, optimize, or stop a channel. It focuses on exchange value, test volume requirements, and kill rules to ensure data-driven decisions.

This skill detects persistent instruction injection vulnerabilities in AI agents. It verifies if the agent stores malicious instructions in long-term memory or context to execute later. The process involves attempting to write a persistent rule and verifying if the agent follows it in subsequent interactions. It focuses on behavioral persistence rather than data leakage.

Screen and rank Meteora DLMM pools for LP quality using public APIs. Hard-filter by preset (volatile, stable, bluechip) and score by fee/TVL, organic score, volume, and holders. Read-only, no transactions. Outputs ranked tables with verdicts.

This skill provides a comprehensive framework for mastering microservices architecture patterns. It covers critical aspects of building robust, distributed systems, including defining service boundaries (Domain-Driven Design), managing inter-service communication, handling distributed data transactions, and implementing various resilience patterns (e.g., circuit breaker, circuit breaker). It is essential for large-scale system decomposition.

This skill acts as an anti-over-engineering guardrail, instructing AI coding agents to maintain strict scope control and minimalism. It guides the AI to only modify the files and lines explicitly requested by the user, avoiding unnecessary abstractions, unrequested refactors, or scope creep. Use it when you prefer the simplest, most direct solution and want to prevent the agent from 'grinding' the code base.

This skill generates ready-to-use CI/CD pipeline configurations for automated API testing using Newman. It supports multiple platforms including GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI. Users can specify collection sources, environment variables, and report formats like JUnit or HTML. The generated scripts install Newman and execute Postman collections within the pipeline, ensuring consistent API quality checks across different development environments.

A comprehensive guide providing best practices and architectural patterns for modern full-stack development using Next.js 14+ App Router. Covers advanced topics like Server Components, efficient data fetching, handling parallel routes, and implementing full-stack features with Server Actions for scalable React applications.