skills.rest
allenlin90
allenlin90COMMUNITY
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data-validation

Standardize input validation, response serialization, and UID handling across API boundaries.

1|Updated Jan 2, 2025
Search Tags:#validation#backend#uid#serialization#api-contract#typesafety
One-click install
npx skills add https://github.com/allenlin90/eridu-services --skill data-validation-allenlin90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-validation
Source: https://github.com/allenlin90/eridu-services/tree/main/.agent/skills/data-validation
Command: npx skills add https://github.com/allenlin90/eridu-services --skill data-validation-allenlin90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides comprehensive guidance for designing robust input validation, serialization, and ID management patterns across backend APIs, ensuring safe, consistent data contracts and error handling.

Core Features & Use Cases

  • Validation at API boundaries: schema-driven checks for inputs and outputs.
  • Data transformation: snake_case to camelCase and UID mapping between internal IDs and external identifiers.
  • Nested validation: verify related entities by UID and ensure not-found cases are handled gracefully.

Quick Start

Define a validation policy for a sample API payload and show how UIDs are mapped to external IDs in responses.

Frequently Asked Questions about data-validation

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

FAQPage Schema
How do I standardize API data validation and enforce UID mapping across backend services?▼

Standardize API data validation by applying schema-driven checks at API boundaries, mapping internal UIDs to external identifiers, and enforcing data transformation rules during request processing to ensure consistent backend service contracts.

How does snake_case to camelCase transformation work for API response serialization?▼

API response serialization transforms snake_case data structures into camelCase formats across API boundaries, ensuring type safety and consistent data contracts between internal backend services and external client consumption.

What is the best way to handle nested validation and existence checks for related entities by UID?▼

Nested validation verifies related entities by checking UID existence and formatting, ensuring that not-found cases are handled gracefully with security-conscious error messages during backend data mapping operations.

How do I implement security-conscious error messages for API contract validation failures?▼

Security-conscious error messages for API contract validation are implemented by standardizing error reporting during request processing, avoiding sensitive data exposure while clearly indicating validation failures across API boundaries.

Does this API validation approach work for schema-driven input and output validation?▼

Schema-driven validation applies structured checks for both API inputs and outputs, enforcing data contracts through type safety rules, UID formatting, and snake_case to camelCase transformations across backend service boundaries.

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