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melvinv007
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classey-database

Enforce canonical Appwrite schemas for TypeScript interfaces and Zod models.

Updated Apr 9, 2026
Search Tags:#typescript#database#schema#queries#zod#appwrite
One-click install
npx skills add https://github.com/melvinv007/classey_personal_tracker --skill classey-database
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: classey-database
Source: https://github.com/melvinv007/classey_personal_tracker/tree/main/.github/skills/classey-database
Command: npx skills add https://github.com/melvinv007/classey_personal_tracker --skill classey-database

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Classey Database helps developers avoid guessing field names, misaligned collections, and inconsistent types when working with Appwrite by providing a single authoritative reference before coding. It standardizes how you access collections, queries, and models, reducing runtime errors and ensuring consistency across the project.

Core Features & Use Cases

  • Centralized Appwrite schema references for all collections, interfaces, and types.
  • Enforces canonical field names and collection IDs, preventing runtime mistakes.
  • Supports TypeScript interfaces, Zod schemas, and typed queries across the codebase.

Quick Start

Validate a sample Appwrite query against the canonical schema before generating code.

Frequently Asked Questions about classey-database

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

FAQPage Schema
How do I prevent Appwrite query errors from mistyped collection field names?▼

Schema enforcement prevents Appwrite query errors by requiring explicit references to canonical collections, TypeScript interfaces, and Zod schemas to eliminate field-name guesswork and ensure safe queries.

What is the best way to standardize Appwrite database schemas across a TypeScript project?▼

Standardizing Appwrite database schemas involves using a centralized reference for collection IDs, TypeScript interfaces, and Zod schemas to enforce canonical field names and generate consistent, safe code.

How do I validate an Appwrite query against Zod schemas before executing it?▼

You validate an Appwrite query by checking the requested fields and collections against the defined Zod schemas and TypeScript interfaces in the schema frontmatter before generating or executing the code.

Can I use this canonical schema approach for any Appwrite database or is it project-specific?▼

This canonical schema approach applies to any task involving Appwrite databases, collections, queries, and models, but its specific entity definitions target the Classey project's semesters, subjects, exams, and tasks.

Why do I need Zod schemas and TypeScript interfaces for Appwrite model definitions?▼

Zod schemas and TypeScript interfaces are needed for Appwrite model definitions to enforce canonical field names, prevent runtime mistakes from misaligned collections, and ensure type-safe queries across the codebase.

What are the limitations of using canonical schemas for Appwrite data queries?▼

A limitation of using canonical schemas for Appwrite queries is that every code generation task requires explicit frontmatter references to the defined collections, interfaces, and schemas to maintain consistency and safety.

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