mt-create-goal

Name: mt-create-goal
Availability: InStock
Author: t-miura-024

Create measurable goal condition documents for AI-assisted project execution planning.

Updated May 15, 2026

Search Tags:#requirements #document generation #task planning #ai workflow #goal planning #status transition

Ready to run

npx skills add https://github.com/t-miura-024/tools --skill mt-create-goal

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mt-create-goal
Source: https://github.com/t-miura-024/tools/tree/main/chezmoi/dot_config/opencode/skills/mt-create-goal
Command: npx skills add https://github.com/t-miura-024/tools --skill mt-create-goal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users turn ambiguous project intentions into clear, measurable goal condition documents that can be reviewed before execution.

Core Features & Use Cases

Goal Condition Refinement: Guides users through detailed questioning to clarify intent, constraints, and success criteria before creating a goal document.
Goal Document Creation: Produces structured draft or refined goal documents following the defined format and status workflow.
Workflow Management: Supports goal listing, status transitions, and preparation for later AI execution workflows.
Use Case: A developer planning a repository change can use this Skill to define a verifiable completion condition before handing the work to an execution agent.

Quick Start

Ask the mt-create-goal skill to help create a measurable goal condition document for a planned task.

Frequently Asked Questions about mt-create-goal

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

FAQPage Schema

How do I turn ambiguous project requirements into measurable goals for AI execution?▼

Goal condition refinement guides you through detailed questioning to clarify intent, constraints, and success criteria, producing a structured goal document ready for AI execution agents. It transforms vague project intentions into verifiable completion conditions before development begins.

What is a goal condition document in AI-assisted software development workflows?▼

A goal condition document is a structured file defining measurable completion criteria for project tasks. It maintains draft, refined, and completed status states, ensuring AI execution agents receive clear, verifiable requirements rather than ambiguous instructions for repository changes or development tasks.

How do I define completion criteria before handing a development task to an execution agent?▼

You define completion criteria by using a goal document creation process that applies structured questioning to extract intent and constraints. This produces a refined goal document with verifiable success conditions, preparing the task for seamless handoff to AI execution workflows.

Can I manage goal status transitions between draft, refined, and completed states?▼

Yes, goal status transitions are supported through workflow management utilities that maintain structured draft, refined, and completed document states. You can list existing goals, update their status, and prepare them for downstream AI execution workflows as requirements evolve.

What's the best way to prepare software development tasks for AI execution planning?▼

Preparing tasks for AI execution planning requires creating measurable goal condition documents that clarify requirements and define completion criteria. This structured approach ensures execution agents receive precise, verifiable instructions rather than interpreting ambiguous project intentions during development.

Do I need goal templates to create structured goal condition documents?▼

Yes, goal templates are required alongside status transition utilities to maintain structured document states. These templates ensure the generated goal conditions follow the defined format and workflow, enabling consistent draft, refined, and completed status management for AI execution preparation.