What standards does this skill follow?

This skill follows the specific backend model standards defined in the Agent OS documentation, specifically within agent-os/standards/backend/models.md.

Does this skill work with any database?

Yes, it focuses on the structural and architectural patterns of models, which can be applied to various SQL or NoSQL database implementations following Agent OS principles.

Is this skill part of a larger ecosystem?

Yes, it is designed to work alongside other codex plugins and Agent OS standards to provide a unified backend development experience.

Why should I use the Backend Models skill?

Using this skill ensures that your data layer remains consistent, making the codebase easier to maintain, scale, and integrate with other Agent OS-compliant services.

Agent OS Backend Models

Name: Agent OS Backend Models
Author: tlabs-xyz

bytlabs-xyz

Database Management

Standardizes backend data models according to the Agent OS architectural framework.

About

The Backend Models skill enables Claude to implement and maintain data models that strictly adhere to the Agent OS standard. By referencing specific organizational guidelines, this skill ensures that backend schemas, entity relationships, and data access patterns remain consistent and performant across complex applications. It is essential for developers working within the tBTC ecosystem or any project following the Agent OS specification to maintain structural integrity and minimize architectural drift.

Key Features

Standardized schema and entity definition
Strict adherence to Agent OS backend standards
Automated alignment with repository-specific guidelines
Performance-optimized model implementation
0 GitHub stars
Consistency across backend architectural layers

Use Cases

Refactoring legacy models to align with standardized backend patterns
Auditing existing backend code for compliance with model standards
Defining new database entities that follow the Agent OS specification

About

Key Features

Standardized schema and entity definition
Strict adherence to Agent OS backend standards
Automated alignment with repository-specific guidelines
Performance-optimized model implementation
0 GitHub stars
Consistency across backend architectural layers

Use Cases

Refactoring legacy models to align with standardized backend patterns
Auditing existing backend code for compliance with model standards
Defining new database entities that follow the Agent OS specification