context-driven-development

Organize and maintain project-context artifacts like product.md, tech-stack.md, and workflow.md.

1|Updated Apr 27, 2026
One-click install
npx skills add https://github.com/haxlys/skills --skill context-driven-development-haxlys
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-driven-development
Source: https://github.com/haxlys/skills/tree/main/vendored/wshobson-agents/plugins/conductor/skills/context-driven-development
Command: npx skills add https://github.com/haxlys/skills --skill context-driven-development-haxlys

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Establishes and maintains a standardized set of context artifacts (such as product.md, tech-stack.md, workflow.md, and tracks) that live alongside code, enabling AI agents to operate with a single source of truth across projects.

Core Features & Use Cases

  • Context artifact creation and ongoing maintenance to keep product, tech-stack, workflow, and tracks in sync with project evolution.
  • Cross-artifact synchronization and lifecycle management to ensure consistency as features are planned, implemented, and shipped.
  • Brownfield onboarding and context extraction from existing codebases to surface and formalize implicit decisions.
  • Use Case: A team migrating a project to Conductor can rapidly generate the standard artifact suite and align development practices with AI-assisted workflows.

Quick Start

Run the interactive Conductor setup to generate a complete set of context artifacts for your project.

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 for AI agents across codebase updates?

Maintaining project context for AI agents requires organizing standardized artifacts like product.md, tech-stack.md, and workflow.md alongside code. This enforces structured templates and validation steps, ensuring AI interactions use a single source of truth throughout project evolution.

Can I extract and generate context artifacts for an existing brownfield codebase?

Yes, you can extract and formalize implicit decisions from existing brownfield codebases. The interactive setup generates a standard suite of context artifacts, enabling teams to onboard existing projects into AI-assisted workflows while surfacing implicit technical decisions.

What is the best way to keep product documentation and tech-stack files synchronized?

The best way to keep product documentation and tech-stack files synchronized is through cross-artifact lifecycle management. This enforces validation steps and updates across product.md, tech-stack.md, workflow.md, and tracks as features are planned and shipped.

How do I set up structured context for an AI-powered project management workflow?

Setting up structured context for AI-powered project management involves running an interactive setup to generate a complete artifact suite. This creates tracks and enforces templates, aligning development practices with AI-assisted workflows from project initiation.

Do I need specific templates to provide structured context for AI interactions?

Yes, structured templates are required to provide consistent context for AI interactions. The system enforces predefined templates for product.md, tech-stack.md, and workflow.md, ensuring artifacts stay current and aligned with established development practices.