What is meta-agentic creation?

It is the practice of creating 'meta' components—prompts, agents, and skills—that are specifically designed to generate other functional components, providing multiplicative leverage and consistency.

Where does the skill save the generated files?

Generated components are written to standard Claude Code locations, such as .claude/commands/ for prompts and the skills/ directory for new skill modules.

Does it support different Claude models?

Yes, the templates include logic to select between Haiku for fast tasks, Sonnet for balanced reasoning, and Opus for complex, critical tasks.

When should I use this skill instead of creating a standard prompt?

You should use this skill when you need to create four or more similar components, or when you are establishing a library of patterns for a team to ensure everyone follows the same structure.

How much time does this skill save?

Based on leverage calculations, using meta-components can save over 60% of development time when generating a fleet of 10 or more agents compared to manual creation.

Meta-Agentic Creation

Name: Meta-Agentic Creation
Author: melodic-software

bymelodic-software

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Herramientas para Desarrolladores

Generates meta-level prompts, agents, and skills to automate and scale the development of complex agentic architectures.

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Meta-Agentic Creation is a high-leverage skill designed for developers who want to move beyond building individual agents and instead focus on 'building the system that builds the system.' It provides structured templates and workflows for generating specialized prompts, domain-specific agents, and new skills within the Claude Code ecosystem. By abstracting the creation process into a meta-layer, this skill ensures architectural consistency, enforces organizational best practices, and offers multiplicative productivity gains when scaling agentic layers across large-scale software projects.

Características Principales

Multi-Level Hierarchy: Supports a structured approach from Level 0 application logic to Level 3 meta-meta generators.
1 GitHub stars
Built-in Validation: Includes verification steps to ensure all generated components meet complexity and performance standards.
Skill Templates: Generates complete skill directory structures including SKILL.md and supporting documentation.
Meta Prompt Generation: Automates the creation of specialized prompts with standardized frontmatter and workflows.
Agent Scaffolding: Rapidly builds domain-specific agents with predefined toolsets and model preferences.

Casos de Uso

Rapidly prototyping complex agentic systems that require four or more specialized sub-agents.
Establishing organizational standards for prompt engineering and agent architecture across large repositories.
Scaling a development team by providing standardized component generators for uniform agent behavior.

Acerca de

Características Principales

Multi-Level Hierarchy: Supports a structured approach from Level 0 application logic to Level 3 meta-meta generators.
1 GitHub stars
Built-in Validation: Includes verification steps to ensure all generated components meet complexity and performance standards.
Skill Templates: Generates complete skill directory structures including SKILL.md and supporting documentation.
Meta Prompt Generation: Automates the creation of specialized prompts with standardized frontmatter and workflows.
Agent Scaffolding: Rapidly builds domain-specific agents with predefined toolsets and model preferences.

Casos de Uso

Rapidly prototyping complex agentic systems that require four or more specialized sub-agents.
Establishing organizational standards for prompt engineering and agent architecture across large repositories.
Scaling a development team by providing standardized component generators for uniform agent behavior.