A comprehensive tool for managing Segment sources, destinations, events, and tracking plans via Config and Tracking APIs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install segment
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install segment using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Segment?
The Segment skill for Openclaw Skills provides a robust interface to interact with the Segment platform infrastructure. It enables developers and data engineers to automate the management of data sources, destinations, and tracking plans without leaving their agent environment. Built with Python 3.10 using only the standard library, this tool ensures a lightweight, zero-dependency integration for managing customer data platforms.
By leveraging this skill within Openclaw Skills, teams can programmatically control their entire data stack. This includes everything from provisioning new sources to auditing active warehouses and ensuring data governance through tracking plan management. The skill acts as a bridge between your automated workflows and Segment's powerful data orchestration engine.
Segment Use Cases
- Provisioning and managing new data sources for various project environments.
- Auditing active destinations and warehouses to maintain data stack transparency.
- Retrieving and syncing tracking plans to ensure consistent data governance.
- Sending track and identify events directly from CLI or automated script triggers.
- Browsing source and destination catalogs to quickly identify integration opportunities.
How Segment Works
- The skill initializes by authenticating via the provided Segment Access Token and Write Key.
- Users or agents issue commands targeting specific Segment resources such as sources, destinations, or tracking plans.
- The Python script executes requests against Segment's Config or Tracking APIs based on the command provided.
- The API response is captured and formatted into JSON for machine processing or human-readable text for manual review.
- Developers can integrate these commands into larger automation pipelines to maintain data infrastructure as code.
Segment Setup
To get started with this skill in your environment, ensure you have the required environment variables configured:
export SEGMENT_ACCESS_TOKEN="your_config_api_token"
export SEGMENT_WRITE_KEY="your_source_write_key"
The skill requires Python 3.10 or higher and utilizes only the standard library, meaning no additional pip installations are necessary to begin using Openclaw Skills for Segment management.
Segment Data Schema & Taxonomy
The skill interacts with several key data entities within the Segment ecosystem. Below is the organization of data handled by the skill:
| Entity | Description |
|---|---|
| Sources | Management of data entry points including creation and deletion metadata. |
| Destinations | Details on where data is routed, including configuration IDs. |
| Tracking Plans | JSON-based schemas that define event structures and property requirements. |
| Catalog | Reference data for available source and destination types in the Segment ecosystem. |
| Events | Payload data for track and identify calls sent to the Tracking API. |
Segment Advanced Features
- Unified CLI architecture for managing both Config and Tracking API endpoints in one tool.
- Dual output modes supporting raw JSON for automation and a --human flag for developer readability.
- Complete source lifecycle management including programmatic creation and deletion.
- Direct access to Warehouse and Space listings for complex enterprise data environments.
- Zero-dependency design making it ideal for containerized or restricted execution environments within Openclaw Skills.
SKILL.md
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