my-database-api

Store JSON values in isolated namespaces with etag validation.

83|Updated May 8, 2026
One-click install
npx skills add https://github.com/myapihq/myapi --skill my-database-api
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: my-database-api
Source: https://github.com/myapihq/myapi/tree/main/skills/my-database-api
Command: npx skills add https://github.com/myapihq/myapi --skill my-database-api

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of giving AI-built applications a simple, persistent state layer without requiring a full database system, enabling storage for users, sessions, and workflow data.

Core Features & Use Cases

  • Namespaced Key-Value Storage: Create isolated data containers and store JSON values for application state, settings, lookup maps, and lightweight records.
  • Safe Concurrent Updates: Use etags and compare-and-swap operations to prevent accidental overwrites when multiple processes update the same data.
  • Use Case: Build an agent-created SaaS application that stores customer profiles, session information, webhook idempotency keys, or per-user configuration data.

Quick Start

Use the my-database-api skill to create a namespace and store application state for my new agent-built app.

Frequently Asked Questions about my-database-api

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

FAQPage Schema
How do I store application state for an AI agent without setting up a full database?

To store application state without a full database, use lightweight persistent key-value storage that handles JSON values and namespace isolation. This provides reliable state management for agent-built software like user profiles and session data.

How does etag compare-and-swap validation prevent overwrites in a key-value store?

Etag compare-and-swap validation prevents overwrites by checking a unique identifier before applying updates. If the etag matches the current stored value, the concurrent update proceeds safely; otherwise, it fails to avoid accidental data loss.

Can I use JSON storage with namespace isolation for tracking webhook idempotency keys?

Yes, you can use JSON storage with namespace isolation to track webhook idempotency keys. This approach creates isolated data containers that safely store lookup tables and workflow state for concurrent processes.

What is the best way to manage lightweight state for an agent-built SaaS application?

The best way to manage lightweight state is using a persistent key-value store that supports JSON values and prefix-based listing. This avoids complex database infrastructure while reliably handling per-user configuration data.

When should I avoid using lightweight key-value storage for application state?

You should avoid lightweight key-value storage if your application requires complex relational queries or heavy database infrastructure beyond storing JSON values, lookup maps, and workflow state. It is designed for lightweight state management rather than complex data relationships.