Is the output of this skill ready to use immediately?

The skill provides a complete structural boilerplate; however, you will need to customize the specific logic and prompt details to fit your unique requirements.

What files does this scaffolder create?

It generates a minimal plan for schemas, envelopes, manifests, prompt profiles, runtime bindings, documentation, and test cases.

How do I run the generated plan?

The scaffolder provides the file plan and structure; you should coordinate the execution and file creation manually or through a Codex automation script.

Why is this skill marked as non-deterministic?

Because it uses an LLM to interpret natural language descriptions into a file plan, the generated structure may vary slightly based on how you describe the new skill.

What is a MOVA skill?

A MOVA skill is a structured capability within the MOVA framework that defines how an LLM should behave, including its inputs, outputs, and prompt logic.

MOVA Skill Scaffolder

Name: MOVA Skill Scaffolder
Author: Leryk1981

byLeryk1981

생산성 및 워크플로

Generates complete minimal file plans for new MOVA skills including schemas, manifests, and prompt profiles from textual descriptions.

소개

The MOVA Skill Scaffolder is a specialized utility designed to accelerate the development of custom Claude Code skills within the MOVA framework. By translating high-level textual descriptions into structured project blueprints, it automatically generates essential components such as JSON schemas, envelopes, manifests, prompt profiles, and runtime bindings. This tool significantly reduces the manual overhead of bootstrapping new capabilities, ensuring that every new skill follows a standardized architecture optimized for Codex automation and complex LLM workflows.

주요 기능

Automated JSON schema and manifest creation
Integration with Codex automation workflows
Prompt profile and runtime binding scaffolding
Text-to-skill file plan generation
0 GitHub stars
Standardized MOVA framework architecture

사용 사례

Automating the boilerplate setup for complex LLM-driven agents
Standardizing skill structures across distributed development teams
Rapidly bootstrapping new AI capabilities within a MOVA-based project

소개

주요 기능

Automated JSON schema and manifest creation
Integration with Codex automation workflows
Prompt profile and runtime binding scaffolding
Text-to-skill file plan generation
0 GitHub stars
Standardized MOVA framework architecture

사용 사례

Automating the boilerplate setup for complex LLM-driven agents
Standardizing skill structures across distributed development teams
Rapidly bootstrapping new AI capabilities within a MOVA-based project