How is pagination handled for large datasets?

It implements cursor-based pagination using 'first', 'after', and 'endCursor' patterns to efficiently iterate through large result sets without performance degradation.

How does this skill manage API rate limits?

It provides a standardized retry strategy using exponential backoff with jitter, specifically designed to handle SuperOps.ai's 800 requests per minute limit.

What authentication method is used?

The skill implements Bearer token authentication using API tokens generated from the SuperOps.ai profile settings, along with the required CustomerSubDomain header.

Does this skill handle both US and EU SuperOps.ai endpoints?

Yes, the skill includes specific endpoint patterns for both US and EU regions across both MSP and IT platform variants.

Can I use this for both data retrieval and updates?

Absolutely. The skill covers both GraphQL queries for fetching data and mutations for creating or updating entities like tickets, clients, and assets.

SuperOps.ai API Patterns

Name: SuperOps.ai API Patterns
Author: wyre-technology

bywyre-technology

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API Development

Implements standardized GraphQL patterns for SuperOps.ai integrations, covering authentication, pagination, and error handling.

Provides comprehensive guidance and implementation patterns for the SuperOps.ai GraphQL API to streamline the development of MSP and IT service integrations. This skill offers ready-to-use templates for Bearer token authentication, cursor-based pagination, complex filtering, and robust error handling. By following these established patterns, developers can ensure their Claude-generated code adheres to SuperOps.ai best practices for performance, rate-limit management, and data consistency across PSA and RMM workflows.

Key Features

01Complex filtering logic using logical operators (AND/OR/IN)

02Standardized error handling for common API response codes

03Standardized GraphQL query and mutation structures

042 GitHub stars

05Cursor-based pagination implementation with auto-fetching patterns

06Robust rate-limit handling and exponential backoff strategies

Use Cases

01Building custom automation scripts for MSP ticket and asset management

02Generating complex custom reports by aggregating data through filtered GraphQL queries

03Developing data synchronization tools between SuperOps.ai and external databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wyre-technology/msp-claude-plugins api-patterns

For use in Claude.ai and ChatGPT

Download Skill