Skip to main content

data-layer-advanced

Structure a Ledger Wallet data layer where one API response serves several entities. Use when creating or reviewing cross-entity domain/api orchestration with RTK Query, createAsyncThunk, or both, including response validation and tests spanning multiple domain/entity packages.

Source facts

Repository
LedgerHQ/ledger-live
Last source activity
September 18, 2026 at 13:12
Detected SKILL.md language
English
Stars
622
Forks
491

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

Showing SKILL.md

SKILL.md
Source instructions · Read-only preview
name
data-layer-advanced
description
Structure a Ledger Wallet data layer where one API response serves several entities. Use when creating or reviewing cross-entity domain/api orchestration with RTK Query, createAsyncThunk, or both, including response validation and tests spanning multiple domain/entity packages.
# Data Layer: Multiple Entities Apply only when one API response maps to several autonomous entities. Use `types-state-mocks` for the rules inside each entity package. Source: [Data Layer Advanced Use Case](https://ledgerhq.atlassian.net/wiki/spaces/WXP/pages/6112641121) ## Split Ownership ```text domain/entity/<first>/src/schema.ts domain/entity/<second>/src/schema.ts domain/api/<orchestrator>/src/api.ts ``` - Let each entity own its schema and inferred type. Add state, selectors, mocks, and tests only when that entity needs them. - Let one `domain/api` package own the cross-entity response contract, request, transformation, and validation. - Keep UI and feature state in `features/flow`. - Keep app composition out of the domain package. ## Process The Response 1. Fetch with RTK Query, `createAsyncThunk`, or both. 2. In the API layer, validate and transform each response collection with its owning entity schema. 3. Keep the result in RTK Query or dispatch the validated entities when slices must be hydrated. Validate the collection before iterating over it: prefer `entitySchema.array().parse(value)` to `.map()` on untrusted data. ## Test The Orchestration - Use entity mock builders when available; otherwise build schema-valid fixtures. - Test RTK Query endpoints, thunks, or their integration according to the chosen orchestration. - When reducers are involved, create a minimal local store or use an existing domain test harness. - Never import an app store or app alias into a domain test. - Assert the validated result, cache entry, and any hydrated slice that the orchestration owns. - Cover transport failure, invalid collection shape, and invalid entity data when relevant.
View on GitHub