How do I verify if my module is correctly implemented?

You can use the structural validation command 'amplifier module validate ./my-module' to check for compliance with the module contracts.

What types of modules can I create with this skill?

You can create Providers (LLM backends), Tools (agent capabilities), Hooks (lifecycle control), Orchestrators (execution strategy), and Context modules (memory management).

How are modules registered in the Amplifier ecosystem?

Modules are registered via the mount() function and defined as entry points in your project's pyproject.toml file under the amplifier.modules group.

Where can I find the authoritative protocol definitions?

The source of truth for protocols is located in the core code at amplifier_core/interfaces.py, models.py, and message_models.py.

Amplifier Module Development

Name: Amplifier Module Development
Author: drillan

bydrillan

Developer Tools

Facilitates the creation and integration of custom Amplifier modules including tools, providers, and hooks using standardized protocols.

About

This skill provides comprehensive guidance for developers building on the Amplifier framework. It simplifies the process of implementing domain-specific modules—such as LLM providers, agent tools, and lifecycle hooks—by offering authoritative patterns for protocol implementation, configuration through Mount Plans, and entry point registration. Whether you are extending agent capabilities or integrating new backend services, this skill ensures your modules adhere to core architectural contracts and pass structural validation requirements.

Key Features

Validation of module structure using built-in CLI commands
Standardized protocol implementation for Tools, Providers, and Hooks
Testing patterns using amplifier_core utilities and mock objects
Configuration integration via Mount Plan specifications
Automated entry point and mount function boilerplate generation
0 GitHub stars

Use Cases

Creating new agent tools for specialized filesystem or web operations
Building a custom LLM provider for a private or internal API
Implementing lifecycle hooks to observe or control agent execution

About

Key Features

Validation of module structure using built-in CLI commands
Standardized protocol implementation for Tools, Providers, and Hooks
Testing patterns using amplifier_core utilities and mock objects
Configuration integration via Mount Plan specifications
Automated entry point and mount function boilerplate generation
0 GitHub stars

Use Cases

Creating new agent tools for specialized filesystem or web operations
Building a custom LLM provider for a private or internal API
Implementing lifecycle hooks to observe or control agent execution