purpose-definition

Define mission, stakeholders, and success criteria for agent systems.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gitwalter/cursor-agent-factory --skill purpose-definition
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: purpose-definition
Source: https://github.com/gitwalter/cursor-agent-factory/tree/main/.cursor/skills/purpose-definition
Command: npx skills add https://github.com/gitwalter/cursor-agent-factory --skill purpose-definition

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams articulate the purpose, stakeholders, and measurable success criteria for their agent system, ensuring alignment with foundational axioms.

Core Features & Use Cases

  • Mission Definition: Capture a one-sentence mission that is verifiable and user-focused.
  • Stakeholder Discovery: Identify primary users or beneficiaries with clear specificity.
  • Success Criteria: Define a measurable outcome and a method to assess it.
  • Output Artifacts: Produce a PURPOSE.md and a configuration that records guiding values and axioms alignment.

Quick Start

To begin, guide the user through a concise set of prompts to craft the mission, identify stakeholders, and set success metrics, then save the resulting PURPOSE.md and configuration.

Frequently Asked Questions about purpose-definition

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

FAQPage Schema
How do I define the mission and success criteria for an agent system?

To define the mission and success criteria for an agent system, you articulate a verifiable one-sentence mission, identify primary stakeholders, and set measurable outcomes. This process ensures alignment with foundational axioms and produces a PURPOSE.md document.

What is a PURPOSE.md document for AI agents?

A PURPOSE.md document is an artifact that records a team's articulated mission, primary stakeholders, and measurable success criteria for an agent system. It ensures alignment with Layer 0 axioms by documenting guiding values and configuration checks.

How do I identify stakeholders and success metrics during agent onboarding?

To identify stakeholders and success metrics during agent onboarding, guide users through concise prompts to specify primary beneficiaries and define a measurable outcome with an assessment method. This results in a configuration file and PURPOSE.md.

Can I use this approach to align agent systems with foundational axioms?

Yes, you can align agent systems with foundational axioms by defining a user-focused mission and measurable success criteria. The process performs alignment checks and outputs a minimal configuration that records guiding values alongside the PURPOSE.md document.

What is the best way to write a one-sentence mission for an AI agent?

The best way to write a one-sentence mission for an AI agent is to ensure it is verifiable and user-focused. Capturing this mission is the first step before identifying stakeholders and defining measurable success criteria in the PURPOSE.md document.