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context-driven-development

Create and maintain structured context artifacts for Conductor-managed codebases.

Updated Apr 5, 2026
Search Tags:#workflow#documentation#context#onboarding#conductor#product#tracking
One-click install
npx skills add https://github.com/Jhabbig/Habbig --skill context-driven-development-jhabbig
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-driven-development
Source: https://github.com/Jhabbig/Habbig/tree/main/.claude/plugins/wshobson/conductor/skills/context-driven-development
Command: npx skills add https://github.com/Jhabbig/Habbig --skill context-driven-development-jhabbig

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams replace scattered notes and stale assumptions with a durable Conductor context that stays aligned with the codebase and supports consistent AI-assisted work.

Core Features & Use Cases

  • Context setup: Creates or verifies the core project artifacts for product, technology, workflow, and work tracking.
  • Brownfield onboarding: Extracts structure from an existing repository and turns it into maintainable context documentation.
  • Ongoing synchronization: Keeps artifacts consistent as the project evolves, so decisions, dependencies, and work status remain current.
  • Use case: A team starting a legacy codebase can use this Skill to map the current system into a shared context before making changes.

Quick Start

Use this skill to analyze an existing Conductor project or scaffold a new one and update the context artifacts needed for the next implementation step.

Frequently Asked Questions about context-driven-development

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

FAQPage Schema
How do I keep project context synchronized with an evolving codebase?▼

Project context synchronization requires consistently reading and updating structured artifacts like product.md, tech-stack.md, workflow.md, and tracks.md to maintain alignment between documentation and codebase changes.

What is the best way to onboard AI-assisted development to a legacy codebase?▼

Brownfield onboarding extracts structure from an existing repository and maps the current system into shared context documentation, replacing scattered notes and stale assumptions with durable, maintainable context artifacts.

How do I set up context documentation for a new software project?▼

Context setup for new projects creates and verifies core artifacts covering product, technology, workflow, and work tracking domains to support consistent AI-assisted development from the start.

Can I use this approach to maintain work tracking and workflow documentation over time?▼

Ongoing synchronization keeps artifacts consistent as projects evolve, ensuring decisions, dependencies, and work status remain current across product, technology, workflow, and track documentation.

Do I need a Conductor-managed codebase to use context-driven development?▼

Context-driven development creates and maintains structured project context artifacts specifically for Conductor-managed codebases, applying to greenfield setup, brownfield onboarding, artifact synchronization, and ongoing context validation.

Why does AI-assisted development lose alignment with my project's current state?▼

Alignment breaks when context artifacts become stale; consistent reading and updating of product.md, tech-stack.md, workflow.md, and tracks.md prevents scattered notes and outdated assumptions from degrading AI assistance.

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