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convex-backend

Codify Convex backend best practices for functions, schemas, and storage.

1.4k|186|Updated Jan 1, 2026
Search Tags:#backend#queries#mutations#schemas#convex#validators
One-click install
npx skills add https://github.com/CloudAI-X/claude-workflow-v2 --skill convex-backend
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-backend
Source: https://github.com/CloudAI-X/claude-workflow-v2/tree/main/skills/convex-backend
Command: npx skills add https://github.com/CloudAI-X/claude-workflow-v2 --skill convex-backend

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convex Backend Guidelines solve the challenges of implementing scalable and type-safe backend code for Convex projects, including functions, schemas, and storage.

Core Features & Use Cases

  • Function syntax and validators are standardized to ensure correct input/output contracts.
  • Schema design with indexing and system fields improves data integrity and query performance.
  • Query/Mutation/Action patterns provide safe, scalable data access, scheduling, and storage integration.
  • Use Case: When building a Convex app, you define public and internal functions, run queries and mutations, schedule tasks, and manage storage in a consistent way.

Quick Start

Begin by reviewing AGENTS.md to understand function registration, validators, and patterns; then apply these guidelines when creating or updating Convex backend code.

Frequently Asked Questions about convex-backend

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

FAQPage Schema
How do I validate inputs and outputs in Convex backend functions?▼

Convex validators enforce type-safe input and output contracts on your functions. Use Convex's built-in validator library to define schemas for query, mutation, and action parameters, ensuring data integrity and catching errors at the boundary between client and server.

What's the best way to structure queries and mutations in a Convex app?▼

Separate public functions (exposed to clients) from internal functions (server-only logic). Use query for read operations, mutation for writes, and action for side effects like scheduling or file storage. This pattern enforces security and scalability across your backend.

How do I improve query performance in Convex with indexes?▼

Define indexes on frequently queried fields in your Convex schema to speed up lookups and filtering. Proper indexing reduces scan time for large datasets and is essential for efficient real-time subscriptions and complex queries.

Can I schedule tasks and manage file storage in Convex?▼

Yes. Convex actions enable scheduling cron jobs and serverless tasks. Combined with Convex's file storage API, you can handle deferred processing, exports, and media management while maintaining type safety and reliability.

Do I need to define schemas for all my Convex data?▼

Yes. Schema definition in Convex codifies your data structure, enables system fields for tracking, and unlocks indexing and validation. Well-designed schemas are foundational to reliable, scalable backends of any size.

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