loop-writer

Author and optimize recursive loops for the Tangle AI agent runtime.

3|Updated May 3, 2026
One-click install
npx skills add https://github.com/tangle-network/agent-runtime --skill loop-writer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop-writer
Source: https://github.com/tangle-network/agent-runtime/tree/main/skills/loop-writer
Command: npx skills add https://github.com/tangle-network/agent-runtime --skill loop-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables users to create and enhance recursive agent loops for the @tangle-network/agent-runtime environment, streamlining complex orchestration and optimization tasks.

Core Features & Use Cases

  • Recursive Loop Authoring: Facilitates the design of clean, efficient recursive loops for AI agents.
  • Loop Optimization: Provides tools to improve and validate existing loops.
  • Use Case: Users can develop a loop for a recursive driver, supervisor, or worker, enhancing their performance in tasks like feature implementation and test pass optimization.

Quick Start

To initiate the loop-writing process, first define the objectives for your loop. Utilize the 'defineConversation' function to create a loop with a specified goal and let the 'runConversation' function execute it.

Frequently Asked Questions about loop-writer

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

FAQPage Schema
How do I create recursive agent loops for goal-oriented tasks?

To create recursive agent loops, define your loop objectives and use the defineConversation function to establish a goal, then execute it with the runConversation function within the agent runtime.

What is recursive loop optimization in AI agent development?

Recursive loop optimization in AI agent development is the process of improving and validating existing recursive loops to enhance agent performance in complex orchestration and goal-oriented tasks.

How do I build a recursive driver or supervisor for an AI agent runtime?

You build a recursive driver or supervisor by authoring clean, efficient recursive loops tailored to the Tangle agent runtime, applying loop recipes to enhance performance in feature implementation and test pass optimization.

Can I use recursive loops for advanced agent orchestration without dependencies?

Yes, you can use recursive loops for advanced agent orchestration without external dependencies, as the Skill requires none, relying on the native Tangle agent runtime API for execution.

What's the best way to structure a recursive loop recipe for AI agents?

The best way to structure a recursive loop recipe is to start by defining clear objectives, then utilize the defineConversation function to set the goal before executing the loop with runConversation.

Why does my recursive agent loop require a strong understanding of the runtime API?

Your recursive agent loop requires a strong understanding of the runtime API because authoring and optimizing recursive loops for the Tangle environment demands advanced knowledge of recursive principles and the agent runtime API.