sample_agent

Convert recurring user requests into durable child agents with scheduled cadences.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Building automated responses to chat requests often ends up as ephemeral actions that terminate after a single interaction. This skill provides a safe, auditable path by spawning durable child agents that persist work across turns.

Core Features & Use Cases

  • Converts recurring or specialized requests into durable child agents using agent.install.
  • Supports deterministic and scheduled work cadences with state and history persistence.
  • Produces explicit Output Contracts describing memory, state, and history for safe handoff and replay.

Quick Start

Install a durable child agent to handle a recurring, specialized task from user requests.

Frequently Asked Questions about sample_agent

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

FAQPage Schema
How do I create durable agents that persist and execute recurring tasks from chat?

Durable agents are created by converting recurring user requests into child agents using agent.install. This process generates auditable scripts and state files that execute tasks over time with persistent memory and history.

How does an agent builder maintain state and history for specialized workers?

An agent builder maintains state by producing an explicit Output Contract that defines memory, state, and history files. This ensures safe handoff and replay of specialized worker tasks across scheduled cadences.

Can I schedule recurring automation tasks with deterministic cadences using child agents?

Yes, specialized child agents support both deterministic and scheduled work cadences. This allows recurring automation tasks to execute reliably over time while maintaining auditable logs.

What's the best way to audit automated chat workflows that spawn specialized workers?

Automated chat workflows are audited by generating tiny, auditable scripts and state files during agent installation. These files provide a verifiable record of task execution and state persistence.

Why do I need an Output Contract for durable child agents?

An Output Contract is required to explicitly define memory, state, and history for durable child agents. This ensures safe handoff, replay, and consistent state management across recurring execution cycles.

Does this approach work for ephemeral chat interactions or only persistent recurring tasks?

This approach specifically addresses ephemeral chat interactions by converting them into persistent recurring tasks. It spawns durable child agents that maintain state and history instead of terminating after a single interaction.