Skill UI

A comprehensive set of architectural patterns for building robust and maintainable HTTP servers using Kotlin Coroutines and the Ktor framework. It covers essential topics including REST routing DSL, plugin configuration (Authentication, CORS, StatusPages), Dependency Injection (Koin), serialization, WebSockets, and integration testing using testApplication.

Provides comprehensive configuration management for local LLM inference using RuVLLM. Users can select models, perform task-specific fine-tuning with MicroLoRA adapters, or implement continuous, real-time adaptation using SONA. This tool guides the entire advanced LLM workflow, covering status checks, configuration generation, and advanced adaptation loops.

This skill provides access to the Anthropic Claude Managed Agent runtime, which is a cloud-native, persistent environment for running complex, long-running, or asynchronous AI tasks. Unlike local WASM agents, the managed runtime provides a full container, persistent filesystem, and robust state management across multiple turns. It supports the entire agent lifecycle: creation, prompting, status inspection, event logging, and mandatory termination.

This file is currently undergoing Japanese translation for the mle-workflow tool. The English version can be found in the original skill file.

Uses the Monitor tool to stream real-time events from a swarm system instead of inefficient polling. It provides live observability for key actions like agent spawns, task completions, memory writes, and health status. This is ideal for continuous monitoring and debugging of complex, distributed processes.

This file serves as a placeholder indicating that the Japanese translation for the 'motion-advanced' skill is currently under development. Users should consult the original English skill file for the definitive functionality and usage guide, as this translation is not yet functional.

This file serves as a placeholder indicating that Japanese localization for the 'motion-foundations' skill is currently in progress. Users should refer to the original English skill file for comprehensive functionality details and usage instructions.

This file is currently undergoing Japanese localization. It serves as a placeholder for the Japanese translation of the motion-patterns skill. Users should refer to the original English skill file for the latest functionality and details.

This file is currently undergoing Japanese localization for MySQL patterns. It serves as a placeholder indicating that the Japanese translation is in progress. Users should refer to the original English skill file for implementation details.

This skill provides robust automation capabilities for interacting with network devices via SSH using the industry-standard Netmiko library. It is designed to simplify complex network operations, such as configuration backups, status checks, and bulk management across heterogeneous devices, significantly improving operational efficiency.

This skill runs a single, simulated tick of a defined business pod (Sales). It is designed for dry-run testing, allowing users to validate inputs, resolve agents, and reserve budgeted resources without invoking real LLM workers. It handles template loading, schema validation, budget management, and emits structured status reports for subsequent workflow consumption.

This file is currently undergoing Japanese localization for the production scheduling functionality. It serves as a placeholder for the Japanese translation and refers to the original English skill file for the core logic and details.