loop

Execute autonomous iteration loops with wave-based task decomposition and verification.

34|Updated Nov 29, 2025

Search Tags:#automation #planning #orchestration #task-decomposition #loop #wave-execution #spec-scoring

Ready to run

npx skills add https://github.com/saadshahd/moo.md --skill loop-saadshahd

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: loop
Source: https://github.com/saadshahd/moo.md/tree/main/hope/skills/loop
Command: npx skills add https://github.com/saadshahd/moo.md --skill loop-saadshahd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the process of planning, decomposing, and executing complex feature work by turning user intents into structured, verifiable iterations.

Core Features & Use Cases

Autonomous spec scoring, planning, and shape generation to convert vague requests into concrete work items.
Decomposition into atomic tasks organized into waves with dependency tracking and reversible steps.
Built-in review gates that require verification and user feedback before completion.

Quick Start

Initiate a new autonomous iteration to score the spec, shape the plan, decompose tasks, and begin wave-based execution with expert review.

Frequently Asked Questions about loop

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

FAQPage Schema

How do I automate task decomposition and wave-based execution for complex features?▼

Automating task decomposition requires an autonomous iteration loop that scores your spec, generates a plan shape, and organizes atomic tasks into execution waves with dependency tracking and iterative verification.

What is an autonomous iteration loop for software engineering planning?▼

An autonomous iteration loop is a structured process that reliably transforms user intents into validated outcomes by applying multi-step planning, task decomposition, wave-based execution, and iterative verification across complex features.

How do I convert vague feature requests into concrete work items with dependency tracking?▼

Converting vague requests into concrete work items requires autonomous spec scoring and shape generation to decompose the intent into atomic tasks organized into execution waves with reversible steps and dependency tracking.

Can I enforce review gates and verification criteria during multi-step task orchestration?▼

Multi-step task orchestration supports built-in review gates that require verification and user feedback before completion, ensuring defined mustNot constraints and verification criteria are met before finalizing.

What prerequisites do I need to start wave-based execution for complex feature work?▼

Wave-based execution requires a defined spec, shape, mustNot constraints, and verification criteria as inputs to initiate the autonomous iteration and produce a wave-based execution log and final completion status.

When should I avoid using autonomous iteration loops for task planning?▼

Avoid autonomous iteration loops for tasks lacking defined specs, shapes, mustNot constraints, and verification criteria, as the loop requires these inputs to reliably transform user intents into validated outcomes.