context-driven-development

Manage project context artifacts to align AI interactions and team workflows.

27|5|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/Fandry96/k3-agentic-skills --skill context-driven-development-fandry96
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-driven-development
Source: https://github.com/Fandry96/k3-agentic-skills/tree/main/skills/context-driven-development
Command: npx skills add https://github.com/Fandry96/k3-agentic-skills --skill context-driven-development-fandry96

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Context-driven development treats context as a managed artifact so AI assistants and teams share a single source of truth, reducing misalignment and repeated context setup.

Core Features & Use Cases

  • Living context artifacts that evolve with the project
  • Structured workflows (Context → Spec & Plan → Implement)
  • Artifact relationships (product.md, tech-stack, tracks)
  • Onboarding and cross-team alignment

Quick Start

Initialize the Conductor context suite for your project and begin documenting living context artifacts.

Frequently Asked Questions about context-driven-development

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

FAQPage Schema
How do I maintain shared project context for AI assistants and cross-team alignment?

Shared project context is maintained by treating context as a living, managed artifact that evolves with the project, ensuring AI assistants and teams share a single source of truth to reduce misalignment and repeated context setup.

What is context-driven development and when do I need it for my product workflow?

Context-driven development is a structured workflow needed for knowledge-heavy, multi-stakeholder projects where consistent AI behavior, onboarding, cross-team collaboration, and retained institutional memory are essential.

How do I structure a development workflow using living context artifacts?

Structure your development workflow by following the Context to Spec & Plan to Implement sequence, maintaining artifact relationships across product guides, tech-stack decisions, and workflow convention tracks.

Can I use context-driven development for onboarding and multi-stakeholder governance?

Yes, context-driven development supports onboarding and multi-stakeholder governance by applying versioned, synchronized context artifacts and guardrails that ensure consistent AI agent behavior across teams.

What's the best way to stop AI agents from losing project context during development?

The best way to stop AI agents from losing project context is to maintain versioned context artifacts like product guides and tech-stack decisions, providing guardrails for consistent AI behavior.

Why does repeated context setup happen and how do I prevent it in AI interactions?

Repeated context setup happens when project knowledge is not managed as a shared artifact; prevent it by maintaining living context documents that serve as a single source of truth for AI interactions.