fivetran
Fivetran — manage connectors, destinations, sync status, and groups via REST API
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aiwithabidi/fivetranWhat This Skill Does
The Fivetran skill for OpenClaw is a powerful integration tool that allows your AI agent to interface directly with the Fivetran REST API. By managing your data pipelines programmatically, you can automate the entire lifecycle of your ETL (Extract, Transform, Load) processes. The skill provides full CRUD capabilities for connectors, enabling you to list existing pipelines, pull schema definitions, trigger immediate data syncs, and provision new connectors or groups on the fly. It acts as an abstraction layer between the complex Fivetran API and natural language commands, turning your agent into a data infrastructure engineer.
Installation
To integrate this capability into your OpenClaw agent, use the command: clawhub install openclaw/skills/skills/aiwithabidi/fivetran. Once installed, ensure you have your Fivetran credentials ready. You must set the following environment variables within your agent's configuration profile:
FIVETRAN_API_KEY: Your unique Fivetran access key.FIVETRAN_API_SECRET: The corresponding secret key for your account. These variables are required for all authenticated requests made by the script to the Fivetran backend.
Use Cases
This skill is ideal for teams managing large-scale data environments where manual sync management is a bottleneck. Common use cases include:
- Automated Pipeline Maintenance: Periodically checking sync statuses and triggering emergency syncs if a connector fails.
- Dynamic Onboarding: Automatically creating new connectors for new customers or departments when a record is updated in your CRM.
- Schema Monitoring: Tracking schema changes in production data sources to proactively update downstream analytical models.
- Governance: Auditing destination configurations and user access levels across your data ecosystem.
Example Prompts
- "Check the status of all connectors in the marketing group and trigger a sync for any that have been failing for more than four hours."
- "Get the current schema for the PostgreSQL connector ID 'abc-123' and save it as a reference for our data team."
- "List all active destinations and their connection IDs to ensure our data warehouse is correctly linked."
Tips & Limitations
- Output Format: By default, the skill returns raw JSON. For debugging, use the
--humanflag to get a formatted, readable summary in your terminal. - Rate Limiting: Fivetran enforces API rate limits. Avoid putting this skill in a tight infinite loop without implementing backoff strategies.
- Security: Ensure that the API keys provided have only the necessary permissions required for the tasks your agent performs (Principle of Least Privilege).
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aiwithabidi-fivetran": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, network-access
Related Skills
freshsales
Freshsales CRM integration — manage contacts, leads, deals, accounts, tasks, and sales sequences via the Freshsales API. Track deal pipelines, automate lead assignments, log activities, and generate sales reports. Built for AI agents — Python stdlib only, no dependencies. Use for sales CRM, contact management, deal tracking, pipeline reporting, and sales automation.
gemini-video-analyzer
Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
agent-memory
Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete setup script and tools. Give your OpenClaw agent a real brain with semantic recall, entity relationships, and structured storage.
neon
Neon serverless Postgres — manage projects, branches, databases, roles, endpoints, and compute via the Neon API. Create database branches for development, manage connection endpoints, scale compute, and monitor usage. Built for AI agents — Python stdlib only, zero dependencies. Use for serverless Postgres, database branching, database management, development workflows, and cloud database automation.
onepassword
1Password Connect — vaults, items, secrets management for server-side applications.