Skill UI

Scans component namespaces to detect duplicated domain logic across services, then suggests consolidation paths or shared services to improve maintainability and clarity.

Analyzes namespaces to spot root-level orphaned classes, highlights hierarchy violations, and produces flattening or refactoring plans that keep components at leaf-level directories.

Maps architectural components within a codebase, computes statement-based size metrics, flags oversized or undersized modules, and generates an inventory to guide decomposition planning.

Automates Composio tasks through the Rube MCP interface, guiding tool discovery, connection checks, and multi-tool execution while enforcing schema compliance and session reuse for reliable workflows.

Automates Composio Search workflows through Rube MCP by discovering the latest tool schemas first, validating connections, and executing schema-compliant multi-tool calls for reliable search operations.

Orchestrates an exhaustive, multi-dimensional code review process by coordinating specialized agents (e.g., security, performance, quality, architecture). This workflow covers code quality, architectural integrity, security vulnerabilities (OWASP Top 10), performance bottlenecks, and test coverage, providing consolidated, actionable feedback and remediation guidance.

This skill automatically generates comprehensive and highly structured Pull Request (PR) descriptions directly from Git diffs. It goes beyond simple summaries by automatically adding detailed change categories (e.g., source, test, config), security risk assessments, and required review checklists based on the modified file types. Use this when submitting complex code changes or when the diff is large and requires explicit structure for thorough review.

Guides users through compression optimizer scenarios within data pipelines, offering best practices, code templates, and validation steps for ETL, transformation, and streaming workflows.

Empowers building AI agents that perceive screens, plan via vision-language reasoning, and control mouse/keyboard for desktop automation, with attention to sandboxing and safety across Anthropic, OpenAI, and open-source paradigms.

Provides expert guidance on designing, implementing, and optimizing cutting-edge computer vision pipelines. Expertise spans real-time object detection (YOLO26), advanced promptable segmentation (SAM 3), and leveraging Vision Language Models (VLMs) for complex visual reasoning. Ideal for building high-performance systems in robotics, autonomous vehicles, and industrial inspection, including 3D reconstruction and edge deployment optimization.

This skill converts vague coding requests into a highly structured, actionable, and atomic development plan. It guides the user through defining the approach, scope (In/Out), and breaking down the task into a mandatory checklist of ordered, concrete steps (e.g., discovery, implementation, validation). Ideal for ensuring comprehensive and traceable project development workflows.

Automates cross-browser compatibility verification by orchestrating BrowserStack, Selenium Grid, or Playwright runs across Chrome, Firefox, Safari, and Edge, capturing screenshots/logs and producing a report when requested via `/browser-test`/`/bt` to confirm web app behavior across devices.