Skill UI

A comprehensive automation skill for managing core business processes within the Square ecosystem. It enables users to list, monitor, cancel payments, search and update customer orders, manage business locations, and handle invoices. Designed for complex, multi-step workflows, ensuring robust handling of parameters, versioning, and pagination for reliable commercial operations.

A comprehensive guide covering best practices for Terraform and OpenTofu. It provides structured advice on module hierarchy, directory organization, naming conventions, and advanced testing strategies (including native testing and policy as code). Use this skill when designing, refactoring, or implementing robust Infrastructure as Code (IaC) pipelines and multi-environment deployments.

Automates updating a markdown document with an index/table listing files from a designated folder, handling discovery, structure selection, and syntax validation to keep documentation in sync.

A comprehensive Command Line Interface (CLI) for managing the entire lifecycle of Windows applications. This skill allows developers to initialize projects, create signed MSIX packages, manage application manifests (AppxManifest.xml), handle development certificates, and access core Windows SDK build tools. It seamlessly supports building applications across various frameworks, including .NET, C++, Electron, Rust, and Tauri, ensuring cross-platform compatibility with native Windows capabilities.

This skill guides users on how to structure research for cricket-related questions by systematically narrowing the search space. It teaches the critical steps of identifying the specific match format (e.g., ODI, T20, Test, IPL) and determining all participating teams, including lesser-known associate nations. This structured approach ensures comprehensive and accurate information retrieval on any cricket topic.

This skill guides the systematic process of identifying and verifying candidate football entities (players or clubs). Use it when initial search results suggest a lead, or when the question provides enough detailed constraints (e.g., nationality, era, league) to hypothesize a candidate. The technique involves constructing targeted name-based searches and cross-checking every constraint (birth year, career timeline, etc.) against the found profile to ensure accuracy.

This technique teaches the user how to pinpoint an exact location by cross-referencing multiple unique surrounding features, such as specific types of businesses (e.g., law firms, restaurants) or natural landmarks (e.g., rivers, mountains). Instead of relying on a single clue, the power lies in the combination of these details, which often creates a unique geographic signature to narrow down the general area to the precise spot.

This skill guides the management of CI/CD pipelines within KubeSphere DevOps. It utilizes Kubernetes Custom Resources (CRs) to define, trigger, and monitor complex build workflows, seamlessly integrating with Jenkins concepts in a cloud-native manner. Use it for automating build, test, and deployment processes for applications running on Kubernetes.

This technique guides users on how to construct highly effective search queries for movies. When a movie question contains both general plot descriptions and highly specific details (such as exact quotes, precise rating language, or specific award names), the user must prioritize the most discriminative clue. By focusing on unique identifiers, this method significantly improves the accuracy and efficiency of information retrieval.

This skill is designed to manage complex, multi-agent workflows by enabling communication and consultation with specialized AI agents. Use it when the user's request requires the expertise, second opinion, or specific output of another designated agent. It supports both synchronous front-end conversations (maintaining conversation context via session_id) and asynchronous background task submission and monitoring, ensuring seamless multi-agent collaboration.

EverOS OpenClaw Plugin integrates persistent, long-term memory capabilities into OpenClaw using the ContextEngine API. It goes beyond simple memory slots by automatically recalling relevant past context before a reply and saving new conversation content after a turn. This allows users to chat naturally while ensuring context, preferences, and key details persist across multiple sessions, eliminating the need for manual memory calls.

This skill guides users on how to search for physical monuments, memorials, or landmarks by linking them to their originating historical events. The core technique involves treating the historical event (e.g., a battle, a protest, a significant date) as the primary search anchor, and then locating the associated memorial or structure. It provides structured query templates and anti-patterns to ensure accurate, context-aware geographical and historical information retrieval.