tavily-automation_skill

Overview

This skill automates Tavily tasks through Composio's Tavily toolkit using the Rube MCP orchestration layer. It provides a clear workflow for discovering current tool schemas, managing Tavily connections, and executing multi-tool operations reliably. The skill emphasizes always searching tools first and validating connection status before running workflows.

How this skill works

The skill instructs agents to call RUBE_SEARCH_TOOLS first to retrieve available tool slugs, input schemas, and recommended execution plans. It then verifies the Tavily connection via RUBE_MANAGE_CONNECTIONS and runs operations with RUBE_MULTI_EXECUTE_TOOL (including an explicit memory object and session ID). It includes guidance for pagination, schema compliance, and session reuse across a workflow.

When to use it

• When you need to run Tavily operations programmatically through Composio and Rube MCP.
• When tool schemas may have changed and you must discover the latest inputs before calling a tool.
• When coordinating multi-step Tavily workflows that require connection validation and session state.
• When executing bulk or parallel Tavily jobs via RUBE_REMOTE_WORKBENCH or multi-execute calls.
• When building agents that must be robust to schema changes and connection states.

Best practices

• Always call RUBE_SEARCH_TOOLS at the start of each workflow to fetch current tool slugs and schemas.
• Verify the Tavily connection is ACTIVE with RUBE_MANAGE_CONNECTIONS before executing any tools.
• Send a memory object (even if empty) in RUBE_MULTI_EXECUTE_TOOL calls to satisfy the MCP contract.
• Reuse a session_id for related operations; generate a new session for distinct workflows.
• Respect exact field names and types from search results—do not hardcode arguments or rely on outdated schemas.
• Handle pagination tokens in search responses and iterate until all results are retrieved.

Example use cases

• Discover and run a Tavily data transformation tool: search tools, validate connection, then execute with schema-compliant args.
• Automate bulk Tavily tasks using RUBE_REMOTE_WORKBENCH and run_composio_tool() for parallel processing.
• Create an agent that orchestrates a multi-step Tavily workflow, reusing a session_id and preserving memory across steps.
• Fetch full tool schemas with RUBE_GET_TOOL_SCHEMAS when building integration tests or developer tooling.
• Recover gracefully from connection issues by guiding users through the auth link returned by RUBE_MANAGE_CONNECTIONS.