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methodology

Explain the AI-First development methodology and its spec-driven pipeline.

244|75|Updated Dec 22, 2025
Search Tags:#workflow#methodology#spec-driven#ai development#skills#agents#pipeline
One-click install
npx skills add https://github.com/pavel-molyanov/molyanov-ai-dev --skill methodology-pavel-molyanov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: methodology
Source: https://github.com/pavel-molyanov/molyanov-ai-dev/tree/main/skills/methodology
Command: npx skills add https://github.com/pavel-molyanov/molyanov-ai-dev --skill methodology-pavel-molyanov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive understanding of the AI-First development methodology, enabling users to navigate and implement a structured, spec-driven pipeline for AI agent development.

Core Features & Use Cases

  • Understand the Development Pipeline: Learn the step-by-step process from user spec to feature implementation and completion.
  • Grasp Project Structure: Comprehend the organization of Project Knowledge, work items, and global configurations.
  • Key Principles: Familiarize yourself with commit strategies, spec-driven development, validation at every stage, and just-in-time context.
  • Skills Ecosystem: Discover the various planning, execution, quality, and meta skills that form the development framework.
  • Use Case: A new team member needs to quickly understand how features are developed, validated, and deployed within the AI-First framework.

Quick Start

Explain the AI-First development methodology.

Frequently Asked Questions about methodology

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

FAQPage Schema
What is spec-driven AI development?▼

Spec-driven AI development is a methodology using a structured pipeline from user spec to feature implementation. It relies on just-in-time context, project knowledge management, and validation at every stage to guide AI agents.

How do I implement a spec-driven pipeline for AI agents?▼

To implement a spec-driven pipeline, follow the AI-First development methodology, which details the step-by-step process from user spec to feature completion, incorporating project structure and quality gates.

What skills are needed for an AI-First development workflow?▼

An AI-First development workflow uses a skills ecosystem comprising planning, execution, quality, and meta skills. These agents form the framework that processes work items and global configurations.

How does validation work in spec-driven development?▼

Validation in spec-driven development works through quality gates applied at every stage of the pipeline. This ensures that every feature implementation meets the framework's operational principles before completion.

Can I use this AI-First methodology for existing software projects?▼

You can use the AI-First methodology for existing projects by organizing current work items and global configurations into the framework's project structure. It provides a structured pipeline for new feature implementation.

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