Skill UI

Automate Synthflow AI workflows through Composio by invoking Rube MCP operations, always discovering current tool schemas before managing connections or executing tool runs.

Automates Textrazor tasks through Composio’s Rube MCP pipeline, using RUBE_SEARCH_TOOLS, RUBE_MANAGE_CONNECTIONS, and RUBE_MULTI_EXECUTE_TOOL so each workflow picks up the current schema and active toolkit connection.

Automates Tinyurl operations through Composio’s Rube MCP by guiding you to discover tool schemas, manage Tinyurl connections, and execute actions via RUBE_MULTI_EXECUTE_TOOL with session and memory handling.

Automates Typless operations through Composio's Rube MCP workflow, guiding users to discover current schemas, validate toolkit connections, and execute multi-tool runs with schema-compliant arguments.

Automates Verifiedemail workflows through Composio's Rube MCP, guiding tool discovery, connection verification, and multi-tool execution while enforcing schema compliance and session reuse for reliable automation.

Guide for automating Webscraping AI workflows through Composio’s Webscraping AI toolkit using Rube MCP, covering connection checks, tool discovery, execution patterns, and schema compliance best practices.

Automates Winston AI operations through the Composio/Rube MCP workflow, covering tool discovery, connection checks, schema-compliant execution, session reuse, and pagination handling.

Guides automating Wit AI through Composio’s Rube MCP by discovering available schemas, managing active connections, and executing schema-compliant tools across workflows.

Audit, validate, and enhance GEO structured data by detecting existing JSON-LD/microdata/RDFa, checking schema.org compliance, and generating ready-to-use JSON-LD to boost AI discoverability.

Automate Datadog monitoring tasks via Rube MCP’s Composio toolkit—query metrics, search logs, manage monitors/dashboards, and create events or downtimes while respecting live tool schemas.

A powerful AI tool designed to transform complex scientific concepts into publication-quality visual schematics. Utilizing Nano Banana 2 AI for generation and Gemini 3.1 Pro Preview for rigorous quality review, the skill specializes in creating architectural diagrams, neural network structures, biological pathways, and complex flowcharts. It employs smart iterative refinement, ensuring the output meets predefined quality thresholds for academic journals, posters, and reports.

This tool generates production-grade, spec-compliant agent definition files (.md) adhering to the Anthropic 2026 schema. It supports both the creation of new custom subagents and the validation of existing agent files against marketplace compliance rules. Use it when building complex agent architectures, reviewing agent quality, or ensuring agents meet high industry standards.