Felt Automation

Felt Automation

Automate Felt operations through Composio's Felt toolkit via Rube MCP

Category: productivity Source: ComposioHQ/awesome-claude-skills

What Is This

Felt Automation is an integration skill designed for the Happycapy Skills platform that enables users to automate operations within Felt, a collaborative mapping tool. This skill leverages Composio's Felt toolkit, allowing users to interact programmatically with Felt's API through the Rube MCP (Multi-Channel Platform) interface. By using this skill, users can create, update, and manage maps, layers, and geospatial data directly from automated workflows, eliminating the need for manual intervention in routine mapping tasks.

The skill is packaged for use within composable automation systems and is available as part of the broader ComposioHQ skills collection. This article provides a comprehensive overview of Felt Automation, guiding users through its purpose, benefits, usage, and key considerations.

Why Use It

Felt Automation streamlines mapping workflows by automating repetitive or complex tasks that would otherwise require manual effort in the Felt user interface. Using this skill, organizations and individuals can:

  • Integrate mapping with other workflows: Automatically generate maps from data sources or trigger map updates as part of data pipelines.
  • Reduce manual errors: Minimize human error by programmatically managing geospatial data and map layers.
  • Accelerate collaboration: Quickly share up-to-date maps by automating the process of publishing and updating shared resources.
  • Enhance productivity: Free up time for team members by handling routine mapping operations through scripts or workflow automation platforms.

This skill is particularly advantageous for GIS professionals, data analysts, urban planners, and teams that require frequent updates to shared geospatial data.

How to Use It

To begin using Felt Automation, you need access to both the Happycapy Skills platform and a valid Felt API token. The skill is invoked via Rube MCP, which acts as an orchestrator for executing composable automation workflows.

Prerequisites

  • An account on the Happycapy Skills platform
  • Access to Felt with API credentials
  • Familiarity with Rube MCP automation workflows

Installation

To install the Felt Automation skill, add it to your Rube MCP configuration:

skills:
  - id: felt-automation
    source: github:ComposioHQ/awesome-claude-skills/composio-skills/felt-automation

Authentication

Configure your Felt API token as a secret in your environment or as part of the skill configuration:

secrets:
  FELT_API_TOKEN: <your-felt-api-token>

Example: Creating a Map

Below is an example of how you might use the skill to create a new map in Felt:

steps:
  - uses: felt-automation/create-map
    with:
      name: "Project Overview"
      description: "Automated map created via Felt Automation skill"

Example: Adding a Layer

To add a new layer to an existing map:

steps:
  - uses: felt-automation/add-layer
    with:
      map_id: "<existing-map-id>"
      layer_name: "Demographics"
      geojson: "${{ steps.load_data.outputs.geojson }}"

Example: Updating Map Properties

To update the properties of a specific map:

steps:
  - uses: felt-automation/update-map
    with:
      map_id: "<map-id>"
      name: "Revised Map Name"
      description: "Updated via automated workflow"

Each action is mapped directly to a corresponding Felt API endpoint, ensuring that all changes are synchronized with your Felt workspace in real time.

When to Use It

Use Felt Automation when you need to integrate mapping tasks into larger workflows or when you require frequent, programmatic updates to your geospatial data. Ideal scenarios include:

  • Data-driven map generation: Automatically creating maps from incoming datasets (such as CSV or GeoJSON files).
  • Workflow integration: Embedding mapping steps within data ETL (Extract, Transform, Load) pipelines.
  • Scheduled updates: Running scheduled jobs to refresh map data based on periodic data pulls.
  • Event-driven automation: Triggering map updates in response to external events, such as new survey results or changes in other data systems.

Avoid using this skill for one-off map edits that are easier to perform manually or when graphical design is more important than automation.

Important Notes

  • API Rate Limits: Felt enforces API rate limits. If you are running batch operations, consider implementing retry logic or throttling to avoid hitting these limits.
  • Data Validation: Ensure that all geospatial data (such as GeoJSON) is properly validated before attempting to upload via the skill. Invalid data may cause errors or incomplete map updates.
  • Permissions: The Felt API token must have appropriate permissions to perform the desired operations. Review and scope your tokens carefully.
  • Error Handling: Integrate error handling and logging in your automation workflows to diagnose and recover from failed API calls.
  • Security: Store your Felt API tokens securely and never expose them in plaintext or source code repositories.

Felt Automation provides a robust way to bring mapping tasks into automated workflows, enabling scalable, reliable, and repeatable geospatial operations within the Happycapy Skills platform.