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context-driven-development

Manage project context artifacts for consistent AI-assisted development workflows.

Updated Feb 21, 2026
Search Tags:#context management#development workflow#conductor#project documentation#artifact management#ai alignment
One-click install
npx skills add https://github.com/HCMUTE-RTIC/fit-hcmute --skill context-driven-development-hcmute-rtic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-driven-development
Source: https://github.com/HCMUTE-RTIC/fit-hcmute/tree/main/.agent/skills/context-driven-development
Command: npx skills add https://github.com/HCMUTE-RTIC/fit-hcmute --skill context-driven-development-hcmute-rtic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of inconsistent AI interactions and team alignment by treating project context as a managed artifact, ensuring a single source of truth for AI-assisted development.

Core Features & Use Cases

  • Context Artifact Management: Organizes and maintains key project documents like product.md, tech-stack.md, and workflow.md.
  • Onboarding & Alignment: Facilitates faster onboarding and ensures consistent understanding across teams and AI interactions.
  • Use Case: When starting a new feature, use this Skill to ensure all relevant context documents (product.md, tech-stack.md, workflow.md) are up-to-date and aligned, preventing misinterpretations and rework.

Quick Start

Use the context-driven-development skill to set up new projects with Conductor's 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 manage project context artifacts for consistent AI alignment?▼

Manage project context artifacts by organizing key documents like product vision and technical specifications into a single source of truth, ensuring consistent AI interactions and team alignment throughout development.

What is the best way to maintain project documentation for AI-assisted development workflows?▼

Maintaining project documentation for AI-assisted development involves treating context as a managed artifact, updating files like tech-stack.md and workflow.md to prevent misinterpretations and reduce rework.

Can I use context-driven development for both greenfield and brownfield projects?▼

Yes, context-driven development supports both greenfield and brownfield projects by establishing new context artifacts or extracting structured documentation from existing codebases to ensure AI alignment.

Why does AI generate inconsistent code when my project context is fragmented?▼

Fragmented project context leads to inconsistent AI-generated code because the AI lacks a single source of truth; organizing context artifacts prevents misinterpretations and aligns AI outputs with your technical specifications.

What project documents do I need to set up AI-assisted development workflows?▼

To set up AI-assisted development workflows, you need structured context artifacts including product.md for vision, tech-stack.md for specifications, and workflow.md for development processes.

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