context-driven-development

Name: context-driven-development
Availability: InStock
Author: Neuraz

Create and maintain conductor context artifacts like product.md and workflow.md.

Updated Apr 4, 2026

Search Tags:#workflow #context-management #project-documentation #ai-alignment #conductor-artifacts

Ready to run

npx skills add https://github.com/emilneuraz-ai/neuraz-web --skill context-driven-development-emilneuraz-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context-driven-development
Source: https://github.com/emilneuraz-ai/neuraz-web/tree/main/.agents/skills/.agents/skills/context-driven-development
Command: npx skills add https://github.com/emilneuraz-ai/neuraz-web --skill context-driven-development-emilneuraz-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a conductor/ directory to ensure consistent AI behavior and team alignment. It supports scaffolding new projects from scratch, extracting context from existing codebases, validating artifact consistency before implementation, and synchronizing documents as the project evolves.

Core Features & Use Cases

Context artifact creation and maintenance for conductor workspace (product.md, tech-stack.md, workflow.md, tracks.md)
Project scaffolding and brownfield context extraction from existing codebases
Context validation and synchronization across artifacts to prevent drift
Onboarding teammates with up-to-date contextual documentation during project setup or migration

Quick Start

Ask the AI to scaffold conductor context for your project and generate or update product.md, tech-stack.md, workflow.md, and tracks.md.

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 project context to ensure consistent AI behavior across my team?▼

Maintain project context by creating and updating artifacts like product.md and workflow.md in a conductor directory. This ensures consistent AI behavior and team alignment by keeping living documentation synchronized alongside your codebase as it evolves.

What is the best way to extract project context from an existing codebase for AI alignment?▼

The best way to extract project context from an existing codebase is through brownfield context extraction. This process analyzes your current code to generate documentation artifacts like tech-stack.md and tracks.md, capturing the existing project state for accurate AI alignment.

How do I prevent documentation drift when synchronizing project artifacts during code evolution?▼

Prevent documentation drift by validating artifact consistency before implementation and synchronizing documents during code evolution. Regular context validation checks that your conductor artifacts remain aligned with the actual codebase, preventing inconsistencies between documentation and development.

Can I use project documentation artifacts for onboarding new teammates during project migration?▼

Yes, you can use project documentation artifacts for onboarding new teammates during project migration or setup. Up-to-date contextual documents like product.md and workflow.md provide new team members with the current project state, accelerating their integration and understanding.

Do I need a specific framework to scaffold context artifacts for a new project?▼

No specific framework is required to scaffold context artifacts for a new project. You can set up a new project from scratch by generating the standard conductor artifact suite, which includes product.md, tech-stack.md, workflow.md, and tracks.md, to establish initial project context.