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Antigravity Mastery

Enforce artifact-first AI workflows with structured planning and verification steps.

Updated Aug 11, 2025
Search Tags:#planning#verification#context-management#AI-workflow#artifact-first#lead-developer#master-prompt
One-click install
npx skills add https://github.com/NinaVerde/ninaverde_app --skill antigravity-mastery
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Antigravity Mastery
Source: https://github.com/NinaVerde/ninaverde_app/tree/main/.agent/skills/antigravity-mastery
Command: npx skills add https://github.com/NinaVerde/ninaverde_app --skill antigravity-mastery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Antigravity Mastery enforces an Artifact-First workflow where you act as a Senior Engineer under a Lead Developer, ensuring ownership, clear planning, and proactive maintenance.

Core Features & Use Cases

  • Enforces an Artifact-First workflow with a structured Master Prompt lifecycle.
  • Manages context (context.md) and design artifacts; ensures traceability and proactive problem-solving.
  • Provides templates and guidance for planning, approvals, execution, verification, and reporting.

Quick Start

Provide a detailed implementation_plan.md for a new feature request by the Lead Developer, including User Review Required, Proposed Changes, and Verification Plan.

Frequently Asked Questions about Antigravity Mastery

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

FAQPage Schema
How do I enforce an artifact-first workflow when managing complex AI development prompts?▼

An artifact-first workflow is enforced by adopting a Lead Developer protocol that requires structured implementation plans, context management, and verification steps for complex AI prompts.

What is the best way to maintain context and traceability across AI-assisted software planning?▼

Context and traceability are maintained by managing dedicated context artifacts alongside design documents, ensuring proactive problem-solving and clear ownership throughout the AI workflow lifecycle.

How do I create an implementation plan for AI-generated code that requires user review?▼

You create an implementation plan by defining proposed changes and a verification plan, explicitly marking sections that require user review before execution to ensure rigorous ownership.

Does this artifact-first approach work for AI documentation and verification tasks as well as coding?▼

Yes, the artifact-first approach applies across development, planning, verification, and documentation, maintaining structured ownership and traceability for any complex AI-generated output.

When do I need to use a master prompt lifecycle for AI workflows?▼

A master prompt lifecycle is needed when managing complex development tasks that demand structured approvals, execution steps, and reporting to maintain rigorous ownership and proactive maintenance.

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