loop-engineer

Routes agent-loop objectives into design, contract, run, repair, eval, or flywheel workflows.

1|Updated Jun 20, 2026
One-click install
npx skills add https://github.com/SollanSystems/loop-engineer --skill loop-engineer-sollansystems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop-engineer
Source: https://github.com/SollanSystems/loop-engineer/tree/main/skills/loop-engineer
Command: npx skills add https://github.com/SollanSystems/loop-engineer --skill loop-engineer-sollansystems

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Loop Engineer helps you prevent false completion in long-running agent work by routing broad loop-related requests to the correct phase instead of treating an unverified outcome as done.

Core Features & Use Cases

  • Phase routing: Directs requests to the right spoke for loop architecture, contract scaffolding, execution, repair, evaluation, flywheel improvement, runtime monitoring, or inspection.
  • Durable verification: Centers explicit success criteria, verification gates, terminal states, and on-disk artifacts so a loop can survive context loss and be audited later.
  • Use cases: Design an agent harness, inspect an inherited loop, repair a failing run, or improve a long-running workflow with stronger guardrails.

Quick Start

Use the loop-engineer skill to analyze my agent-loop request, route it to the correct phase, and tell me the next step in plain language.

Frequently Asked Questions about loop-engineer

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

FAQPage Schema
How do I prevent false completion in long-running agent loops?

To prevent false completion in agent loops, route broad objectives into specific design, contract, run, repair, eval, or flywheel phases with explicit success criteria, verification gates, and terminal states. This ensures outcomes are verified before being treated as done.

What is the best way to design a repair loop for a failing agent run?

Designing a repair loop involves routing the failing run to a dedicated repair phase that applies durable on-disk artifacts and verification gates. This setup allows the loop to survive context loss, resume execution, and be audited later without restarting from scratch.

How do I audit an inherited agent loop across a new repository?

To audit an inherited agent loop, route the inspection request to the correct workflow phase to check for durable on-disk artifacts, explicit success criteria, and terminal states. This identifies missing verification gates and prevents false completion in the existing system.

Do I need explicit success criteria to set up runtime monitoring for agent systems?

Yes, setting up runtime monitoring for agent systems requires explicit success criteria, verification gates, and terminal states. These durable elements ensure the loop can be properly audited, survive context loss, and avoid falsely marking an unverified outcome as complete.

Why does my agent loop falsely report task completion without verifying results?

Agent loops falsely report completion when they treat unverified outcomes as done. By routing objectives through distinct contract, run, and eval phases with verification gates and terminal states, you enforce durable checks that prevent unverified results from closing the loop.