fp-data-transforms
Everyday data transformations using functional patterns - arrays, objects, grouping, aggregation, and null-safe access
IT & Software Developmentaggregationarraysdata-transformationfp-tsfunctional-programminggroupingnull-safetyobjects
Practical Data Transformations
This skill covers the data transformations you do every day: working with arrays, reshaping objects, normalizing API responses, grouping data, and safely accessing nested values. Each section shows the imperative approach first, then the functional equivalent, with honest assessments of when each approach shines.
Detailed Guide
Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use
- You need to transform arrays, objects, grouped data, or nested values in TypeScript.
- The task involves reshaping API responses, null-safe access, aggregation, or normalization.
- You want practical functional patterns for everyday data work instead of low-level loops.
6. Real-World Examples
Example 1: Transform API Response to UI-Ready Data
// API response
interface ApiOrder {
order_id: string;
customer: {
id: string;
full_name: string;
};
line_items: Array<{
product_id: string;
product_name: string;
qty: number;
unit_price: number;
}>;
order_date: string;
status: 'pending' | 'processing' | 'shipped' | 'delivered';
}
// WhSubscribers only
The full skill, its 2 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md, references/detailed-guide.md |
| Added | 2026-09-04 |
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