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data-transformers

Provide centralized data transformation functions for TypeScript/JavaScript API routes.

783|62|Updated Jan 19, 2026
Search Tags:#typescript#api#sanitization#aggregation#data transformation#ranking
One-click install
npx skills add https://github.com/dadbodgeoff/drift --skill data-transformers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-transformers
Source: https://github.com/dadbodgeoff/drift/tree/main/drift%20v1%20depreciated/skills/data-transformers
Command: npx skills add https://github.com/dadbodgeoff/drift --skill data-transformers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of inconsistent data formatting across different API routes by providing a centralized and reusable set of data transformation logic.

Core Features & Use Cases

  • Data Aggregation: Calculate totals and counts for categories.
  • Ranking: Identify top items based on scores and counts.
  • Trend Analysis: Calculate rolling averages and percentage changes.
  • Data Sanitization: Validate and clean incoming data, like hotspot information.
  • String & Date Utilities: Functions for formatting and manipulating text and dates.
  • Use Case: Ensure all your API endpoints return user data in a consistent, predictable format, making frontend development simpler and data analysis more reliable.

Quick Start

Use the data-transformers skill to aggregate category counts from the provided raw data array.

Frequently Asked Questions about data-transformers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize API response data formatting across different routes in TypeScript?▼

You can standardize API response data by implementing a centralized library of data transformation functions. This provides consistent data shaping across routes, ensuring endpoints return predictable formats for frontend consumption and reliable analysis.

What is the best way to calculate rolling averages and percentage changes for API data?▼

Calculating rolling averages and percentage changes is handled by built-in trend analysis functions. These utilities process raw API data to compute trend metrics, allowing you to derive analytical insights directly within your data transformation layer.

How do I sanitize and validate incoming API data like hotspot information in JavaScript?▼

To sanitize incoming API data, you can use dedicated data sanitizer functions included in the library. These utilities validate and clean inputs such as hotspot information, ensuring malformed or invalid data is handled before processing.

Can I aggregate category counts and rank top items from raw arrays in a TypeScript application?▼

Yes, you can aggregate category counts and rank top items using the provided aggregators and rankers. These functions calculate totals, identify highest-scoring items, and shape raw data arrays into structured summaries for API responses.

Do I need any external dependencies to use reusable data manipulation logic in my API?▼

No external dependencies are required to use this reusable data manipulation logic. It operates as a standalone TypeScript library, allowing you to integrate type-safe data formatting and sanitization directly into your application without extra packages.

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