Skill UI

This skill guides the design and implementation of a complete, production-grade Machine Learning pipeline. It employs a multi-agent orchestration workflow, systematically covering all stages of the ML lifecycle: data ingestion and quality assurance, feature engineering, model training, optimization, and robust deployment (MLOps). It ensures built-in reproducibility, monitoring, and scalability.

Automates MailerLite email marketing workflows through the Composio MCP, letting you manage subscribers, inspect campaign analytics, organize groups and segments, and monitor account health without manual API calls.

This comprehensive skill provides full programmatic control over the entire work order lifecycle within the MaintainX platform. Users can create new work orders with detailed metadata, programmatically transition their status (Open, In Progress, On Hold, Completed), query existing tasks, and attach documentation or comments. It is ideal for automating complex maintenance operations and ensuring end-to-end operational visibility.

Provides comprehensive patterns for data synchronization, ETL processes, and data migration specifically for MaintainX. Use this when needing to keep data consistent between MaintainX and external databases, data warehouses (like BigQuery), or when performing bulk data exports to formats like CSV. It covers incremental syncing, full exports, and data reconciliation checks.

This deep-dive guide provides a comprehensive framework for migrating complex operational data into the MaintainX platform. It systematically guides users through assessing source data quality from legacy CMMS systems (like Maximo), spreadsheets, or custom databases. The process covers essential steps including data assessment, schema mapping, and executing robust ETL processes for work orders and assets, ensuring a smooth re-platforming transition.

Automate Make (Integromat) workflows via Rube MCP by retrieving operations, language, and timezone enums, ensuring schemas are current before each tool call.

A comprehensive guide to implementing robust, multi-layered API response caching using distributed stores like Redis and Memcached, alongside CDN integration. Learn advanced strategies such as tag-based cache invalidation, read-through/write-through patterns, TTL management, and serving stale-while-revalidate content to drastically boost application performance and scalability.

Helps marketers apply psychological principles and mental models to understand why people buy, ethically influence behavior, and make better marketing decisions.

Guides automating Memberspot operations through Composio’s toolkit by discovering tools with Rube MCP, verifying connections, and executing schema-compliant multi-tool calls while respecting sessions and pagination.

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.

Automate Miro board management via the Rube MCP toolkit, covering board discovery, item creation, sharing, and connectors with schema-aware tool calls.

A comprehensive workflow for advanced AI applications using Mistral AI. This guide covers generating text and code embeddings (1024 dimensions), implementing semantic search via cosine similarity, and building robust RAG pipelines. It also demonstrates advanced tool augmentation using function calling, allowing LLMs to interact with external APIs and databases.