animus-configuration

Manage Animus project, daemon, and workflow configurations via CLI commands.

1|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/launchapp-dev/animus-skills --skill animus-configuration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: animus-configuration
Source: https://github.com/launchapp-dev/animus-skills/tree/main/skills/animus-configuration
Command: npx skills add https://github.com/launchapp-dev/animus-skills --skill animus-configuration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the management of Animus project and daemon configurations, ensuring consistent setup and operational control.

Core Features & Use Cases

  • Configuration Management: Access and modify project-local .ao/, daemon, and workflow settings to customize behaviors.
  • Workflow Setup and Validation: Define, validate, and compile agent workflows and schedules for automated operations.
  • Use Case: A developer can easily update the daemon's pool size or adjust model options via simple commands, improving deployment flexibility.

Quick Start

Use the animus-configuration skill to retrieve the current daemon configuration.

Frequently Asked Questions about animus-configuration

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

FAQPage Schema
How do I manage daemon configuration for automated AI deployment?

To manage daemon configuration for automated AI deployment, you can retrieve and modify daemon settings, such as adjusting the pool size or model options, through simple CLI commands to customize your environment.

How do I set up and validate automated agent workflows?

To set up and validate automated agent workflows, you define, validate, and compile the workflows and schedules within your project configuration to ensure consistent and automated operations.

Can I modify project-local configuration files to customize workflow behavior?

Yes, you can modify project-local configuration files to customize workflow behavior by accessing and adjusting the settings within your project environment to fit your specific operational needs.

What is the best way to update daemon pool size for AI orchestration?

The best way to update daemon pool size for AI orchestration is to use CLI commands provided by the configuration tool, allowing you to easily adjust the deployment parameters for greater flexibility.

Why do I need workflow configuration for consistent AI deployment?

You need workflow configuration for consistent AI deployment because it ensures operational control and standardized setup, allowing you to maintain and tune the environment effectively across different automated tasks.