crear-prompt

Convert execution plans into per-agent Claude Opus prompts using the Axon Prompt Pattern.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Matraca130/numero1_sseki_2325_55 --skill crear-prompt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crear-prompt
Source: https://github.com/Matraca130/numero1_sseki_2325_55/tree/main/.claude/skills/crear-prompt
Command: npx skills add https://github.com/Matraca130/numero1_sseki_2325_55 --skill crear-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the conversion of execution plans into executable Claude Opus prompts for Axon's multi-agent system, reducing manual prompt drafting and ensuring consistent prompt structure and governance.

Core Features & Use Cases

  • Plan-to-prompt translation: Converts multi-phase, cross-domain execution plans into per-agent prompts following the Axon Prompt Pattern.
  • Engineering-practices injection: Automatically includes testing, ADRs, code reviews, debug protocol, and documentation blocks per task.
  • Memory and isolation: Enforces agent ownership, memory seeds, and worktree memory protocol for safe isolation.
  • Use Case: When a product team defines a macro feature spanning multiple domains, this skill generates a complete, testable prompt plan with phase definitions and QG checks.

Quick Start

Provide a plan-to-prompt transformation for a given execution plan and generate per-agent prompts following the Axon Prompt Pattern.

Frequently Asked Questions about crear-prompt

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

FAQPage Schema
How do I convert an execution plan into executable prompts for a multi-agent system?

To convert an execution plan into executable prompts, you apply the Axon Prompt Pattern to translate macro-scale, multi-phase plans into structured per-agent Claude Opus prompts. This automates prompt drafting and ensures consistent phase-based orchestration across cross-domain tasks.

What is the Axon Prompt Pattern and how does it structure multi-agent orchestration?

The Axon Prompt Pattern structures multi-agent orchestration using XML tags and a 4-block structure. It enforces memory isolation, agent ownership, and memory seeds to ensure safe, coordinated phase-based work across multiple cross-domain agents.

How do I generate per-agent prompts that include engineering practices like testing and code review?

You generate per-agent prompts with engineering practices by applying a plan-to-prompt transformation that automatically injects testing, ADRs, code review, debug protocol, and documentation blocks into each Claude Opus prompt based on the defined execution plan.

Can I use this prompt generation approach for macro-scale plans spanning multiple domains?

Yes, this approach is specifically designed for macro-scale plans spanning multiple cross-domain agents. It enables complex orchestration and phase-based work by generating a complete, testable prompt plan with phase definitions and QG checks for product teams.

Does multi-agent prompt generation enforce memory isolation for individual agents?

Multi-agent prompt generation enforces memory isolation by applying agent ownership, memory seeds, and the worktree memory protocol. This ensures safe isolation and prevents context bleed when multiple agents execute cross-domain tasks concurrently.

What are the limitations of manually drafting prompts for multi-agent orchestration?

Manually drafting prompts for multi-agent orchestration risks inconsistent structure, missing engineering-practices blocks, and broken memory isolation. Automating plan-to-prompt translation enforces the Axon Prompt Pattern, reducing errors and ensuring governance across all agents.