super-prompt-patterns

Standardize prompt engineering and multi-agent execution patterns for repository development.

17|8|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/nebius/nebius-physical-ai --skill super-prompt-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: super-prompt-patterns
Source: https://github.com/nebius/nebius-physical-ai/tree/main/skills/atomic/super-prompt-patterns
Command: npx skills add https://github.com/nebius/nebius-physical-ai --skill super-prompt-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the inconsistency and inefficiency in AI-driven development by providing a standardized framework for prompt engineering, execution, and review.

Core Features & Use Cases

  • Structured Phase Management: Enforces a consistent lifecycle for AI tasks, from design to final reporting.
  • Autonomous Run Rhythm: Orchestrates multi-agent collaboration to ensure high-quality code generation and verification.
  • Use Case: When building complex features in the repository, use this Skill to ensure that agents follow the defined commit lock and novel issue protocols, preventing race conditions and ensuring all blockers are tracked.

Quick Start

Apply the super-prompt-patterns framework to the current development task by initializing the phase-based agent workflow.

Frequently Asked Questions about super-prompt-patterns

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

FAQPage Schema
How do I standardize prompt engineering for multi-agent code generation?

Standardize prompt engineering by applying a structured phase management framework that enforces consistent task lifecycles, from design to final reporting, for autonomous agent coordination. This ensures high-quality code generation and verification across complex codebases.

What is a commit-lock protocol in AI-driven repository development?

A commit-lock protocol in AI-driven repository development is a defined execution pattern that prevents race conditions by ensuring autonomous agents follow structured phase shapes, guaranteeing reliable and non-conflicting code generation.

How do I prevent race conditions when orchestrating autonomous AI agents in a complex codebase?

Prevent race conditions during autonomous agent orchestration by enforcing commit-lock and novel issue protocols. This structured workflow coordinates multi-agent collaboration and tracks blockers, ensuring non-conflicting AI-driven development across complex codebases.

Can I use this framework to track novel issues during autonomous code generation?

Yes, you can track novel issues during autonomous code generation because the framework facilitates structured issue tracking across complex codebases. It ensures all blockers are monitored throughout the defined task lifecycle.

What's the best way to manage the task lifecycle for Codex AI workflows?

The best way to manage the task lifecycle for Codex AI workflows is initializing a phase-based agent workflow. This standardizes execution patterns, enforces autonomous run rhythm, and provides consistent lifecycle management from design to reporting.