Skill UI

Guide to automating Mailcheck tasks through Composio’s Rube MCP, covering tool discovery via RUBE_SEARCH_TOOLS, connection checks, schema-compliant execution, and workflow best practices for reliable Mailcheck automation.

Automates Mailcoach operations through Composio’s Rube MCP toolkit by first discovering current tool schemas, managing the mailcoach connection, and executing schema-compliant workflows safely with session and memory handling.

This comprehensive skill manages the entire lifecycle of database testing, ensuring data integrity and system reliability. It covers setting up isolated test environments (using Docker or in-memory databases), executing migrations, and implementing robust test isolation strategies (such as transaction rollback). Use cases include verifying CRUD operations, validating referential constraints, performance benchmarking (EXPLAIN ANALYZE), and ensuring backward compatibility across multiple databases (PostgreSQL, MySQL, MongoDB) and ORMs.

Orchestrate Mem0 tasks through the Rube MCP-powered Composio toolkit, ensuring schema discovery, connection validation, and memory/session management before executing any workflow.

Memory provides persistent context across multiple coding sessions. It stores crucial project decisions, user preferences (like preferred package managers or specific libraries), and architectural conventions in a local memory file. This ensures that the AI maintains consistency, recalls past choices automatically, and applies project-specific rules without needing constant reminders, significantly improving workflow continuity and reliability.

This comprehensive guide provides techniques for acquiring, analyzing, and extracting artifacts from memory dumps. It covers best practices for digital forensics, crucial for incident response and malware analysis. Users learn how to use industry-standard tools like Volatility 3 on Windows, Linux, and macOS, including process, network, and registry deep dives.

Automates the setup of memory profilers for performance testing workflows, guiding users through best practices, code/configuration generation, and validation against industry standards whenever memory profiler setup is mentioned.

Provides cross-language patterns for developing memory-safe systems code. This skill covers crucial concepts like RAII, ownership models, smart pointers, and robust resource management. It is essential for preventing common vulnerabilities such as use-after-free, memory leaks, and ensuring reliable resource handling across complex systems.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.

Automates GCP Memorystore configuration by guiding users through best-practice patterns, generating production-ready resources, and validating outputs whenever the skill detects memorystore config queries.

Automate Metaads operations via Composio’s Rube MCP by discovering current tool schemas, validating Metaads connections, and executing toolkit workflows while adhering to session, memory, and pagination best practices.

Automates Mocean operations through Composio’s Mocean toolkit via Rube MCP, enforcing a workflow that always queries available tools, verifies Mocean connections, reuses sessions, and includes explicit memory placeholders before executing multi-tool plans.