Skill UI

A comprehensive guide to optimizing data enrichment workflows within Clay. Learn techniques to improve throughput, reduce API costs, and maximize data hit rates by correctly ordering enrichment columns, implementing conditional run rules, pre-cleaning raw leads, and managing auto-update settings. Use this when processing large datasets slowly or encountering high costs.

Automates Composio Clearout workflows by driving Rube MCP tool discovery, connection checks, and multi-tool execution flows, ensuring schema compliance and session reuse.

Automate ClickUp project management workflows across tasks, hierarchies, and comments via Rube MCP/Composio. Always fetch current tool schemas before managing connections and executing task or list operations.

Automate Coda documents, tables, formulas, permissions, and publishing via Composio’s Rube MCP pipeline; search tool schemas first, then orchestrate doc browsing, row upserts, exports, and sharing workflows.

Provides expert-level tooling and workflows for Atlassian Confluence. Capabilities include designing comprehensive documentation architectures, setting up permission hierarchies, creating standardized page templates, and managing content governance. Ideal for restructuring knowledge bases, standardizing documentation practices, or integrating Jira reports into spaces.

Acts as a collaborative writing partner, helping you build outlines, research with citations, improve hooks, and review each section so blogs, tutorials, thought leadership, and docs get polished without losing your voice.

Automates Cults operations through Composio's toolkit via Rube MCP, guiding practitioners to search schemas, manage connections, and run workflows with validated arguments and sessions.

Automates Curated operations by orchestrating Rube MCP calls to search tools, manage curated connections, and execute schema-compliant workflows via Composio. Ideal for orchestrating recurring Curated tasks while always refreshing tool definitions before running workflows.

This comprehensive dashboard tracks and analyzes usage metrics for AI coding assistants (Cursor) in enterprise environments. It monitors total requests, model consumption, user adoption rates, and associated costs. Managers can use it to optimize resource quotas, control AI spending, and calculate the Return on Investment (ROI) to justify AI tool adoption.

This skill simulates a cloud cost optimization expert specializing in reducing infrastructure expenses across AWS, Azure, and GCP. It analyzes complex cloud spending patterns, identifies waste, overprovisioning, and potential savings opportunities. It provides actionable recommendations, implements cost controls, and proposes cost-effective, reliable architectures, ensuring cost efficiency without sacrificing performance or reliability.

Dispatch parallel agents to tackle independent failures concurrently so each investigator stays focused on one domain; review their summaries, check for conflicts, and run the full suite to integrate fixes faster than sequential debugging.

Guides users through a three-stage workflow for collaborative documentation, helping teams gather context, iteratively refine structure, and test readability before sharing specs, proposals, or decision docs.