Skill UI

A comprehensive guide to configuring complex nodes in workflow automation platforms like n8n. Learn best practices for understanding operation-specific field requirements, managing property dependencies, and utilizing progressive disclosure techniques (Standard vs. Full detail) to ensure accurate and efficient workflow setup.

Automate PagerDuty incident, service, and on-call operations through Rube MCP’s Composio toolkit; follow the advised workflow to fetch tools, manage connections, and run incident handling, alert analytics, service configuration, and schedule updates safely.

Automates Postmark transactional email operations through Rube MCP’s Composio toolkit, covering templated batch sends, template management, delivery stats, bounce handling, and server configuration with guided tool sequences and checks.

Scaffold a production-ready Python MCP server with uv-based tooling, FastMCP configuration, async tools, structured schemas, and comprehensive error handling plus deployment/testing guidance.

This skill automates the entire process of creating and integrating a DingTalk application and binding a QwenPaw bot. It utilizes a headed browser mode and manages complex user flows, including pausing for manual login confirmation and ensuring all configuration changes are properly published. It supports customizing app details, uploading required images, and setting up the bot capability, making the setup process seamless and robust.

This skill serves as a comprehensive index for the built-in QA Agent, mapping user topics and keywords (such as installation, configuration, skills, or memory) directly to specific QwenPaw official documentation paths and relevant source code entry points. It drastically reduces the need for blind searching by providing a structured guide, ensuring the QA Agent reads the most accurate and relevant files first.

A centralized command-line interface (CLI) for managing, syncing, and deploying AI skills, agents, and custom extras across dozens of AI tools (e.g., Claude, Cursor, etc.). It handles both global and project-specific configurations, enabling developers to maintain consistent, reproducible setups for complex AI workflows, including rule management, command setup, and CI/CD integration.

This guide provides comprehensive guidelines for localizing all aspects of VS Code extensions. It covers best practices for handling configurations (settings, commands, menus), user-facing string resources, and walkthrough content. Developers can use this skill to ensure their extensions are properly adapted and functional for multiple languages.

This tool generates canonical, submit-ready FrontendIntegration YAML from a simplified, single-menu authoring model. It is ideal for converting preliminary configurations (like those derived from a CRD) into the full, structured YAML required for deploying frontend integrations, ensuring all fields and placements are correctly mapped.

A comprehensive guide for configuring and troubleshooting Jenkins when embedded within KubeSphere DevOps. Learn how to manage Jenkins via Configuration as Code (CasC), integrate advanced authentication methods like LDAP and OIDC, customize agent images, and connect to external sources such as GitLab. Covers everything from initial access to backup and recovery.

A comprehensive guide for configuring ArgoCD within KubeSphere DevOps. It details implementing GitOps continuous deployment, covering application management, multi-cluster setup, SSO integration via Dex, and best practices for managing application state synchronization from Git repositories. Learn the differences between direct ArgoCD and KubeSphere's tenant-friendly GitOps application creation.

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.