spec-first

Write a specification file defining task goals and completion criteria.

746|130|Updated Jun 30, 2026
One-click install
npx skills add https://github.com/Archive228/loopkit --skill spec-first-archive228
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spec-first
Source: https://github.com/Archive228/loopkit/tree/main/skills/spec-first
Command: npx skills add https://github.com/Archive228/loopkit --skill spec-first-archive228

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents the agent from drifting by ensuring that goals are clearly defined and achievable before action is taken.

Core Features & Use Cases

  • Spec-First Methodology: Ensures the agent's actions align with predefined goals.
  • Goal Specification: Allows users to define what constitutes 'done' for each task.
  • Avoids Drift: Keeps the agent focused on the task at hand without unnecessary exploration.

Quick Start

Before executing a complex task, write a spec in PROMPT.md detailing the goal, 'done' conditions, off-limits areas, and stopping criteria.

Frequently Asked Questions about spec-first

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

FAQPage Schema
How do I prevent my AI agent from drifting during multi-step task execution?

To prevent agent drift, you write a specification file first that defines the task goal, completion criteria, off-limits areas, and stopping criteria before execution begins.

What is a spec-first methodology for AI task management?

A spec-first methodology ensures an AI agent's actions align with predefined goals by writing a specification detailing what constitutes 'done' before executing a complex task.

How do I write a specification file to ensure goal clarity for complex workflows?

You write a specification in a file like PROMPT.md detailing the task goal, 'done' conditions, off-limits areas, and stopping criteria to ensure goal clarity for complex workflows.

Does this spec-first approach work for any multi-step job or only specific workflows?

The spec-first approach is applicable to tasks requiring precise, checkable outcomes, such as multi-step jobs or complex workflows, ensuring the AI adheres to a clear specification.

What limitations are there when using a specification file to control agent behavior?

A limitation of using a specification file is that it requires goals to be clearly defined and achievable beforehand, relying on explicit completion criteria rather than autonomous exploration.