builder_agent

Install durable child agents from chat requests with persistent state.

1|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/mandubian/autonoetic --skill builder-agent-mandubian
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: builder_agent
Source: https://github.com/mandubian/autonoetic/tree/main/smoke/agents/builder_agent
Command: npx skills add https://github.com/mandubian/autonoetic --skill builder-agent-mandubian

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds and deploys durable, specialized workers as autonomous child agents from chat prompts, enabling scalable automation.

Core Features & Use Cases

  • Self-contained child-agent creation from chat requests
  • Durable worker lifecycle: install, run, and persist state across ticks
  • Use Case: turning recurring or specialized requests into reusable, long-lived agents

Quick Start

Ask the builder_agent to convert a recurring chat request into a durable child agent that can be installed and scheduled.

Frequently Asked Questions about builder_agent

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

FAQPage Schema
How do I create a durable agent from a chat request?

To create a durable agent from a chat request, the builder_agent converts your recurring prompts into self-contained, autonomous child agents that persist state across execution ticks. It leverages autonoetic runtime features like agent.install for reproducible execution.

Can I schedule recurring workflows with self-installed child agents?

Yes, you can schedule recurring workflows by installing self-contained child agents that maintain their state and operate autonomously across ticks. This enables long-lived, specialized task execution without manual reinitialization.

How does deterministic scheduling work for autonomous agents?

Deterministic scheduling for autonomous agents leverages deterministic files and memory semantics within the autonoetic runtime, ensuring reproducible execution and auditable state persistence across recurring workflow ticks.

What is the best way to turn a specialized chat request into a reusable worker?

The best way to turn a specialized chat request into a reusable worker is using the builder_agent to deploy a self-contained, auditable child agent. This process ensures the worker maintains a durable lifecycle and persistent state.

Do I need the autonoetic runtime to install durable specialist agents?

Yes, leveraging the autonoetic runtime is required to utilize features like agent.install, deterministic files, and memory semantics, which collectively ensure the durable lifecycle and reproducible execution of specialist child agents.

Why are my autonomous child agents not persisting state across ticks?

Autonomous child agents fail to persist state across ticks when deterministic files and memory semantics are not properly leveraged by the autonoetic runtime. Ensuring a self-contained agent.install process guarantees durable state reproducibility.