Can Claude update my existing Strava activities?

Yes, using the RUBE_MULTI_EXECUTE_TOOL command, Claude can modify activity titles, descriptions, and other metadata based on your instructions.

What is required to use the Strava Automation skill?

You must add the Rube MCP server (https://rube.app/mcp) to your Claude Code configuration and complete the Strava OAuth connection via RUBE_MANAGE_CONNECTIONS.

How does the skill stay updated with Strava API changes?

The skill is designed to call RUBE_SEARCH_TOOLS at the start of every session, fetching the most current tool schemas and parameters from Composio.

Do I need to manage my own Strava API keys?

No, Rube MCP handles the connection management. You simply follow the generated authentication link to authorize the 'strava' toolkit.

Is my fitness data secure?

Yes, the skill uses standard OAuth protocols through the Rube MCP architecture, ensuring Claude only accesses the data you explicitly authorize.

Strava Automation

Name: Strava Automation
Author: EricGrill

byEricGrill

•

Gestión de Redes Sociales

Automates Strava activity management, data retrieval, and performance tracking using the Rube MCP toolkit.

The Strava Automation skill integrates Claude Code with the Strava platform via Rube MCP, allowing developers and athletes to programmatically manage fitness data. It enables Claude to search for available Strava tools, handle OAuth connections securely, and execute complex workflows like fetching activity history, updating workout details, and analyzing performance metrics. By leveraging Composio's underlying toolkit, this skill provides a robust interface for transforming fitness data into actionable insights directly within your terminal environment.

Características Principales

01Built-in support for pagination and complex data structures

02Dynamic tool discovery for the latest Strava API schemas

0311 GitHub stars

04Bulk activity updates and multi-tool execution workflows

05Secure OAuth connection management via RUBE_MANAGE_CONNECTIONS

06Automated session handling for persistent fitness data analysis

Casos de Uso

01Generating and posting automated weekly performance summaries to Strava

02Extracting specific fitness metrics for integration into personal data projects

03Bulk updating gear or privacy settings across hundreds of past activities

Características Principales

01Built-in support for pagination and complex data structures

02Dynamic tool discovery for the latest Strava API schemas

0311 GitHub stars

04Bulk activity updates and multi-tool execution workflows

05Secure OAuth connection management via RUBE_MANAGE_CONNECTIONS

06Automated session handling for persistent fitness data analysis

Casos de Uso

01Generating and posting automated weekly performance summaries to Strava

02Extracting specific fitness metrics for integration into personal data projects

03Bulk updating gear or privacy settings across hundreds of past activities