agent-runtime-adoption

Name: agent-runtime-adoption
Availability: InStock
Author: Tangle

Integrate and optimize the @tangle-network/agent-runtime package for product use.

3|Updated May 3, 2026

Search Tags:#prompt optimization #agent-runtime #loop management #product integration #topology drivers

Ready to run

npx skills add https://github.com/tangle-network/agent-runtime --skill agent-runtime-adoption

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-runtime-adoption
Source: https://github.com/tangle-network/agent-runtime/tree/main/skills/agent-runtime-adoption
Command: npx skills add https://github.com/tangle-network/agent-runtime --skill agent-runtime-adoption

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @tangle-network/agent-runtime, @tangle-network/agent-eval, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit helps adopt and optimize the @tangle-network/agent-runtime package in a product environment, streamlining processes like loop management, topology drivers, and optimization of system/planner prompts or code surfaces.

Core Features & Use Cases

Loop Management: Facilitates the use of the driven-loop kernel (runLoop) for iterative tasks.
Topology Drivers: Offers topology drivers for refining, sampling, and fanout-vote operations.
Optimization: Provides tools for optimizing system/planner prompts or code surfaces.
Use Case: For a company looking to integrate @tangle-network/agent-runtime into their product, this Skill unit can help set up and optimize the runLoop, choose a topology driver, and implement the code-surface improvementDriver for agent-eval's selfImprove.

Quick Start

Use the agent-runtime-adoption skill to set up the driven-loop kernel and topology drivers for your product.

Frequently Asked Questions about agent-runtime-adoption

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

FAQPage Schema

How do I integrate agent-runtime into my product environment?▼

Integrate agent-runtime by using this Skill to set up the driven-loop kernel, select topology drivers, and implement the code-surface improvementDriver for agent-eval's selfImprove.

What is loop management and how does the runLoop kernel work?▼

The runLoop kernel handles loop management by processing iterative tasks in a product environment. This Skill integrates the runLoop to streamline and automate these iterative agent processes.

What topology drivers are available for refining and sampling operations?▼

Topology drivers support refining, sampling, and fanout-vote operations. This Skill helps configure these drivers to optimize agent-runtime processes within your specific product architecture.

Do I need both agent-runtime and agent-eval packages to optimize system prompts?▼

Yes, you need both published packages. This Skill applies agent-runtime for loop management and agent-eval to implement the code-surface improvementDriver for system and planner prompt optimization.

Best way to optimize planner prompts and code surfaces using agent-eval?▼

The best way is using this Skill to implement the improvementDriver for agent-eval's selfImprove. It provides dedicated tools for optimizing system and planner prompts alongside code surfaces.

When should I use topology drivers instead of standard loop management?▼

Use topology drivers when refining, sampling, or fanout-vote operations are needed. This Skill helps choose the correct topology driver alongside setting up the standard runLoop kernel.

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