skills.rest
tangle-network
tangle-networkOFFICIAL
Explore all skills by this author →
Website𝕏@tangle_networkGitHub

agent-runtime-adoption

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
One-click install
npx skills add https://github.com/tangle-network/agent-runtime --skill agent-runtime-adoption
Or copy as Structured Prompt for Agent▼
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.

Related Skills

Explore More Software Engineering Skills→
tangle-networktangle-network
3

build-with-agent-runtime

Automates AI agent genome creation, benchmarking, optimization, and certification using AgentProfile or AgentSurfaces and @tangle-network/agent-runtime/agent-eval.

Official
Advanced
getsentrygetsentry
905

prompt-optimizer

Optimize agent prompts across OpenAI, Claude, and Gemini with eval-driven refinements.

Official
Advanced
hung-phanhung-phan

live-comments

Design live comments chat systems with fanout, sampling, and asynchronous moderation.

Community
Advanced
kaifashraffkaifashraff

ai-agent-helper

Automate AI agent design with structured prompts, task decomposition, and agent loops.

Community
Intermediate