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context-driven-development

Create and maintain project context artifacts alongside code.

4|Updated Mar 3, 2026
Search Tags:#workflow#documentation#context#conductor#project-management#artifact-synchronization
One-click install
npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill context-driven-development-ai-foundry-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-driven-development
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/conductor/skills/context-driven-development
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill context-driven-development-ai-foundry-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in conductor/ directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when setting up a project, creating or updating product docs, managing a tech stack file, defining development workflows, tracking work units, onboarding to an existing codebase, or running project scaffolding.

Core Features & Use Cases

  • Scaffolds and maintains conductor context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) alongside code
  • Synchronizes documents as the project evolves and ensures artifact consistency
  • Supports onboarding and brownfield adaptation for existing codebases
  • Validates readiness and compatibility before starting work

Quick Start

Run /conductor:setup to create artifacts and then review product.md and tech-stack.md for alignment

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 documentation alongside code for AI alignment?▼

Project context documentation is maintained by automating the creation and synchronization of artifacts like product.md and tech-stack.md alongside your codebase. This ensures AI interactions remain aligned with the project's current state.

What's the best way to extract context from an existing codebase for onboarding?▼

Context extraction from existing codebases for onboarding is handled through brownfield adaptation. The system scaffolds and updates conductor context artifacts to reflect the current product, tech stack, workflow, and work tracks.

How do I validate artifact consistency before starting implementation work?▼

Artifact consistency validation is performed before implementation to verify readiness and compatibility. The system checks that product, tech-stack, workflow, and tracks documents are synchronized and up-to-date.

What project context artifacts do I need to keep AI interactions aligned?▼

To keep AI interactions aligned, you need four core artifacts: product.md, tech-stack.md, workflow.md, and tracks.md. These are stored in the conductor directory and enforced throughout the project lifecycle.

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