Skill UI

This structured prompt guides an AI model to proactively analyze a user's question and systematically list all necessary files for accurate answering. It forces the AI to categorize required context into 'Must See' (critical), 'Should See' (helpful), 'Already Have,' and 'Uncertainties.' Ideal for complex coding tasks, debugging, or feature implementation that spans multiple codebase files.

This technique is used when multiple failure points (e.g., different test files or subsystems) are discovered, and these failures are independent of each other. Instead of debugging them sequentially, you dispatch separate, focused AI agents to work on each problem domain concurrently. This maximizes efficiency by allowing parallel investigation, dramatically reducing the time spent on large-scale debugging tasks.

A comprehensive guide to setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines within KubeSphere. This tool integrates with Jenkins, supports both graphical editing and Jenkinsfile-based workflows, and enables automated deployments across multi-cluster environments using ArgoCD for GitOps management. Ideal for managing the full software delivery lifecycle.

This skill integrates the agent with the Matrix/Element messaging platform. It enables full conversational capabilities, allowing users to receive real-time alerts, search content, and control connected systems (such as cameras) directly from a designated Matrix room. It supports multi-turn interactions, including sending files, reacting, editing, and managing threads.

A comprehensive guide to optimizing performance when integrating with the Figma REST API. Techniques cover aggressive response caching (LRU), reducing payload size using depth parameters, batching multiple node fetches, and implementing webhook-driven cache invalidation. Essential for handling large, complex Figma files efficiently.

A comprehensive guide on implementing robust Role-Based Access Control (RBAC) for Klaviyo integrations. It details how to use scoped API keys and OAuth 2.0 flows to define granular read/write permissions across various resources (profiles, campaigns, events). This is essential for building secure, multi-tenant applications that require precise permission management.

This powerful skill is designed to generate professional diagrams, including flowcharts, system architecture charts, sequence diagrams, and data visualizations. By utilizing the native draw.io CLI, it creates editable .drawio XML files and exports them to multiple formats (PNG, SVG, PDF, JPG). Use this tool when you need to visually explain complex systems, data flows, or relationships involving three or more components, ensuring the output is clear and fully editable.

FastMCP CLI provides a unified command-line interface to interact with Model Context Protocol (MCP) servers. It allows users to discover available tools and invoke them programmatically using `fastmcp list` and `fastmcp call`. The CLI supports various server targets (HTTP URLs, local files, configs), complex argument types, and ensures structured output, making it essential for building automated, multi-tool workflows and system integrations.

This skill automatically converts structured data specifications (such as CSV, JSON schemas, SQL DDL, or Protobuf definitions) into functional, production-ready code. It generates complete models, validation logic, full CRUD API endpoints, and unit tests in multiple languages (Python, TypeScript, Go, etc.), significantly reducing boilerplate coding time and ensuring type safety.

This guide demonstrates core functionalities for integrating with Hootsuite using its REST API. It provides complete examples on how to list connected social profiles, schedule posts across multiple networks (Twitter, Facebook, etc.), and retrieve pending messages. It is ideal for developers starting a new social media automation tool or needing to test basic API posting patterns.

Automates the compilation of a complete patent application from source files into legally compliant, filing-ready formats for major global patent offices (CNIPA, USPTO, EPO). This tool handles the complex, jurisdiction-specific rules for claims structuring, technical field description, specification ordering, and abstract formatting, ensuring consistency across multiple national standards. Users can specify the required jurisdictions (China, US, Europe) and output format (Markdown or DOCX).

This comprehensive tool analyzes a detailed specification by synthesizing data from multiple source files (JSON, Markdown, etc.). It tracks phase completion, identifies task progress, maps boundary contexts (upstream/downstream dependencies), and proactively highlights necessary revalidation points or blockers, providing a single, unified report of the spec's completeness and current development state.