What is the primary purpose of the MOVA Template skill?

It acts as a reference pattern to help users and developers convert natural language descriptions of tasks into structured JSON step lists for further automation.

Is this skill compatible with Codex?

Yes, it is specifically designed to run through Codex automation as a standardized wrapper for procedural workflows.

Does this skill produce deterministic results?

No, the skill is non-deterministic, as it leverages Claude's reasoning to interpret and structure diverse natural language inputs into the required schema.

How can developers utilize this template?

Developers can use it as a boilerplate or structural reference to create specialized MOVA skills that require consistent, schema-backed output from conversational prompts.

What output format does the skill provide?

The skill generates structured JSON output that adheres to the mova_template_run_v1 schema, ensuring data consistency across the MOVA environment.

MOVA Workflow Template

Name: MOVA Workflow Template
Author: Leryk1981

byLeryk1981

生产力与工作流

Transforms natural language procedure descriptions into structured, machine-readable step lists for automated execution.

关于

The MOVA Template skill serves as a foundational reference pattern for the MOVA workflow ecosystem, enabling developers to convert unstructured natural language instructions into precise, schema-validated JSON task sequences. By providing a standardized wrapper for procedural automation, it simplifies the creation of custom Codex skills and ensures consistency across complex automation pipelines within the Claude Code environment. It is particularly useful for developers looking to bootstrap new automation skills using a proven, repeatable structure.

主要功能

Schema-validated structured data output
Flexible procedure parsing and mapping
Standardized reference pattern for MOVA skills
Codex automation compatibility
0 GitHub stars
Natural language to JSON step conversion

使用场景

Automating procedural task generation from conversational user prompts
Bootstrapping new MOVA-compatible skills using a proven reference pattern
Standardizing manual documentation into executable automation steps

关于

主要功能

Schema-validated structured data output
Flexible procedure parsing and mapping
Standardized reference pattern for MOVA skills
Codex automation compatibility
0 GitHub stars
Natural language to JSON step conversion

使用场景

Automating procedural task generation from conversational user prompts
Bootstrapping new MOVA-compatible skills using a proven reference pattern
Standardizing manual documentation into executable automation steps