Implement a Go data layer function with pagination and CRUD patterns.
npx skills add https://github.com/straubt1/tfx --skill new-data-function
Please help me install this Agent Skill. Skill: new-data-function Source: https://github.com/straubt1/tfx/tree/main/.claude/skills/new-data-function Command: npx skills add https://github.com/straubt1/tfx --skill new-data-function
The data/ package is the sole boundary between TFx and the go-tfe SDK. All API calls happen in this layer to keep the codebase testable, maintainable, and easy to reason about.
Create a new Go file under data/ following the examples in data/projects.go to implement the requested function for a target resource.
High-intent search queries and answers about installing and using this skill.
Implement a new data/ layer function using client.FetchAll with PageSize 100 to handle paginated lists. Apply consistent naming patterns and standard Create, Read, Update, and Delete operations for the target API resource.
Use consistent function naming patterns like Fetch for listing, Get*ID for single reads, and Create, Update, or Delete for mutations. These conventions keep the codebase testable and maintainable across the go-tfe SDK boundary.
Structure a self-contained Go file under the data/ directory with proper header comments, imports, and co-located tests. This isolates all go-tfe SDK API calls within the data layer to keep the codebase easy to reason about.
Apply clear error handling aligned with the repository conventions within your data/ layer function. Return errors from the go-tfe SDK directly through the data layer boundary to maintain testability and consistent error reporting.
Yes, the data layer function supports standard Create, Read, Update, and Delete patterns where applicable. It applies these operations to a concrete API resource alongside paginated list fetching using client.FetchAll.
No, the project conventions require using client.FetchAll with a PageSize of 100 for paginated lists. Adhering to this standardized pagination ensures consistent API resource retrieval across the data layer boundary.
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