spur-loop-authoring

Create and manage multi-agent coding loops with a doctor-preview approval workflow.

2|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/getspur/spur --skill spur-loop-authoring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spur-loop-authoring
Source: https://github.com/getspur/spur/tree/main/assets/skills/spur-loop-authoring
Command: npx skills add https://github.com/getspur/spur --skill spur-loop-authoring

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of managing long-running, multi-agent coding tasks by providing a structured, preview-first workflow for defining and scheduling autonomous loops.

Core Features & Use Cases

  • Durable Loop Authoring: Transforms natural-language intent into structured, validated loop configurations.
  • Preview-First Safety: Ensures every loop is reviewed and approved via a doctor-produced preview before execution.
  • Use Case: Use this to automate a recurring weekly refactoring task where a brain plans the work, delegates to specialized agents, and reports results back to a single review lane.

Quick Start

Initiate the loop authoring process by typing /spur-loop followed by your natural language request for a recurring coding task.

Frequently Asked Questions about spur-loop-authoring

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

FAQPage Schema
How do I automate recurring multi-agent coding workflows safely?▼

Multi-agent orchestration for coding tasks is managed through durable, multi-agent coding loops. The system uses a structured doctor-preview workflow that transforms natural-language intent into validated loop configurations, ensuring safe and predictable autonomous execution.

How do I schedule autonomous coding tasks with cadence-based triggers?▼

Scheduling autonomous coding tasks with cadence-based triggers involves initiating the loop authoring process with a natural language request. The system generates a structured, validated loop configuration that requires preview and approval before execution begins.

What is the best way to delegate complex software engineering tasks to specialized agents?▼

Delegating complex software engineering tasks to specialized agents is best handled through multi-agent coding loops. A primary agent plans the work, delegates to specialized agents, and consolidates results back into a single review lane.

Can I use natural language to define autonomous escalation logic for code refactoring?▼

Yes, natural language can be used to define autonomous escalation logic for code refactoring. The durable loop authoring process transforms your natural-language intent into structured, validated configurations that include autonomous escalation logic.

Do I need to approve multi-agent workflows before they execute?▼

Yes, multi-agent workflows require approval before execution. The system mandates strict adherence to a preview-approval-submission lifecycle, utilizing a doctor-produced preview to ensure safe and predictable agent execution.

When should I not use durable loops for software engineering operations?▼

You should not use durable loops for software engineering operations when bypassing the preview-approval-submission lifecycle is necessary. The system's safe and predictable agent execution fundamentally depends on this strict review process.