Skill UI

Automates SendGrid email workflows through Composio’s Rube MCP, covering marketing sends, contact/list management, sender identities, and analytics while always starting with RUBE_SEARCH_TOOLS to capture current schemas.

This comprehensive guide details the expertise needed for a Senior Data Engineer. It covers building, optimizing, and governing scalable data pipelines and robust ETL/ELT systems using modern tools like Spark, Kafka, Airflow, and dbt. Includes decision frameworks for architecting data solutions (Batch vs Streaming, Lakehouse vs Warehouse) and implementing advanced data modeling patterns.

Guides senior data scientists through designing controlled experiments, engineering structured features, training ML models, and translating results into decisions using Python, R, SQL, and tools like Scikit-learn, XGBoost, and MLflow.

Automates Signpath tasks by orchestrating Composio tools through Rube MCP, detailing how to discover tool schemas, manage connections, execute workflows, and avoid schema-related pitfalls to keep automation reliable.

Automates Splitwise tasks through Composio’s Splitwise toolkit using Rube MCP, guiding users to search for tool schemas, maintain connections via RUBE_MANAGE_CONNECTIONS, and execute compliant workflows with RUBE_MULTI_EXECUTE_TOOL while handling sessions, memory, and pagination.

Automate Starton blockchain workflows through Composio’s Rube MCP, always fetching tool schemas, validating the Starton connection, and executing schema-compliant commands via RUBE_MULTI_EXECUTE_TOOL while managing sessions and memory parameters.

A comprehensive skill to identify, analyze, prioritize, and track technical debt across large codebases. It provides three interconnected tools: a Debt Scanner, a Debt Prioritizer (using cost-of-delay frameworks), and a Debt Dashboard. This system helps engineering teams make data-driven decisions to balance new features with necessary maintenance and refactoring work, ensuring the long-term sustainability of software systems.

Meta-skill that analyzes the Trail of Bits Testing Handbook and generates Claude Code skills for security testing tools and techniques, ideal for creating or refreshing handbook-based skills in bulk.

This skill guides the detection of unintended visual changes in user interface (UI) components. It works by capturing screenshots and performing pixel-by-pixel comparisons against approved baselines. It is essential for ensuring UI consistency across code changes, responsive breakpoints, and differing environments. Supports modern tools like Playwright, Percy, and BackstopJS.

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.

This secondary workflow automates post-meeting follow-up processes. It intelligently extracts action items, inferring priority and assignees, and synchronizes these tasks to external project management tools (e.g., Asana, Jira, Linear). It also generates and sends follow-up emails, creating a complete, automated task lifecycle management system.

This guide assists in migrating meeting AI workflows from competing tools (such as Otter.ai, Fireflies) to TwinMind. It provides a deep dive into setting up the enterprise environment, covering prerequisites, API configuration, and utilizing advanced AI models (GPT-4, Claude, Gemini) for robust transcription and intelligent summarization. Ideal for managing large-scale meeting intelligence operations.