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agent-loop-designer

Design single-agent or multi-agent workflows with explicit ownership and stop rules.

Updated Apr 23, 2026
Search Tags:#workflow#agent#handoff#state-management#design-patterns#loop#prompt-contracts
One-click install
npx skills add https://github.com/Ocean326/Agents --skill agent-loop-designer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-loop-designer
Source: https://github.com/Ocean326/Agents/tree/main/skills/global/agent-loop-designer
Command: npx skills add https://github.com/Ocean326/Agents --skill agent-loop-designer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Designing reliable, repeatable agent loops requires explicit state, bounded control, and clear handoffs so teams can reason about autonomy and re-entry.

Core Features & Use Cases

  • Create single-agent or multi-agent workflow designs with explicit ownership, state schemas, and stop rules.
  • Generate prompt contracts, boundary definitions, and evaluation plans that are loadable into Codex-style agents.
  • Useful for pre-implementation planning, architecture reviews, and documentation of agent-loop strategies.

Quick Start

Draft the smallest reliable agent loop for a given task, including clear ownership, bounded steps, and a stop rule.

Frequently Asked Questions about agent-loop-designer

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

FAQPage Schema
How do I design reliable agent workflows with bounded loops and state management?▼

Agent loops require explicit state externalization, bounded steps, and clear handoffs to enable safe wake-ups and re-entry. You design them by defining explicit ownership, state schemas, and stop rules for single-agent or multi-agent topologies.

What are prompt contracts and how do they work in multi-agent topologies?▼

Prompt contracts are structured boundary definitions and evaluation plans loadable into Codex-style agents. They define explicit ownership and handoffs within multi-agent topologies to ensure reliable, bounded loop execution.

Can I use this for pre-implementation planning of single-agent workflows?▼

Yes, you can draft the smallest reliable single-agent loop by defining explicit ownership, bounded steps, and stop rules. This creates the state schemas and prompt contracts needed for safe wake-ups and re-entry before implementation.

What's the best way to externalize state for safe agent wake-ups and re-entry?▼

State externalization for safe wake-ups requires defining explicit state schemas and stop rules within bounded control loops. This maintains ownership and structured prompts to enable reliable re-entry into agent workflows.

When do I need evaluation gates in agent loop design patterns?▼

Evaluation gates are needed when designing agent workflows that require bounded control and explicit ownership. They enforce state externalization and defined stop rules to ensure safe wake-ups and structured re-entry in multi-agent topologies.

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