What are the three phases of the AI-Loop Skill?

The AI-Loop Skill divides development into three phases: planning (Spec), implementation (Build), and validation (Review). Each phase maintains explicit requirements, risk gates, and stop conditions.

When should I use the AI-Loop Skill?

Use this skill when you need an agent to execute structured code changes with clear boundaries and validation checkpoints, especially for scoped development tasks that require planning before implementation and systematic review afterward.

When should I NOT use the AI-Loop Skill?

Do not use this skill for unstructured exploratory work where rigid phase boundaries would constrain creative problem-solving, or for simple tasks that do not warrant the overhead of a three-phase cycle.

Skill

Structure bounded dev cycles with plan-build-review phases

Name: AI-Loop Skill
Availability: OnlineOnly
Author: Antigravity

AI-Loop Skill structures bounded development cycles for agentic workflows with planning (Spec), implementation (Build), and validation (Review) phases.

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Spark score

out of 100

Updated 3 days ago

Source checked Sep 17, 2026

Version 17.4.0

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Why it matters

Orchestrate agentic code development through explicit planning, implementation, and validation phases with built-in risk gates and stop conditions to ensure scoped, correctable changes.

Outcomes

What it gets done

Define requirements and constraints in a structured Spec phase

Generate code implementations during the Build phase

Validate outputs against requirements in the Review phase

Loop through phases until stop conditions are met or risks trigger exit

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-ai-loop | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

AI-Loop Skill

The AI-Loop Skill structures bounded development cycles for agentic workflows by dividing work into distinct planning (Spec), implementation (Build), and validation (Review) phases. It helps agents build and correct scoped code changes while keeping requirements, risk gates, and stop conditions explicit throughout the process. AI-Loop structures bounded development cycles for agentic workflows involving scoped code changes that require explicit planning, implementation, and validation phases with requirements, risk gates, and stop conditions.

What it does

The AI-Loop Skill structures a bounded development cycle for agentic workflows. It divides the process into three distinct phases - planning (Spec), implementation (Build), and validation (Review) - helping an agent build and correct scoped code changes while keeping requirements, risk gates, and stop conditions explicit throughout the cycle.

Inputs and outputs

Users provide the scope of code changes they want the agent to execute, along with requirements and constraints that define the boundaries of the work.

Who it's for

AI-Loop is for users working with agentic workflows that involve scoped code changes requiring structured planning, implementation, and validation phases.

Source README

The ai-loop skill structures a bounded development cycle for agentic workflows. By dividing the process into distinct planning (Spec), implementation (Build), and validation (Review) phases, it helps an agent build and correct scoped code changes while keeping requirements, risk gates, and stop conditions explicit.

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