bmad-generate-project-context

Generate a project-context.md document with technology stack and coding conventions.

15|2|Updated Apr 15, 2026

Search Tags:#code generation #AI agent #project context #workflow management #developer collaboration

Ready to run

npx skills add https://github.com/lorenzogm/bmad-ui --skill bmad-generate-project-context-lorenzogm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-generate-project-context
Source: https://github.com/lorenzogm/bmad-ui/tree/main/.cursor/skills/bmad-generate-project-context
Command: npx skills add https://github.com/lorenzogm/bmad-ui --skill bmad-generate-project-context-lorenzogm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of a comprehensive project context document for AI agents, ensuring consistent code generation and reducing manual effort.

Core Features & Use Cases

Project Context Generation: Automatically generates a project-context.md file with AI rules and guidelines.
Collaborative Discovery: Facilitates collaborative discovery of project-specific implementation rules with technical peers.
Workflow Optimization: Uses a step-by-step workflow to document technology stack, critical rules, and coding conventions.

Quick Start

Use the bmad-generate-project-context skill to generate the project context for your project.

Frequently Asked Questions about bmad-generate-project-context

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

FAQPage Schema

How do I generate project context for AI agents to ensure consistent code generation?▼

To generate project context for AI agents, you need a project root directory and configuration files. The skill uses a step-by-step workflow to document your technology stack, critical rules, and coding conventions into a markdown file.

What is the best way to document coding conventions for an AI agent in my repository?▼

Documenting coding conventions for an AI agent is best handled by automating the creation of a project context markdown file. This file captures implementation rules, the technology stack, and specific coding standards for consistent automated code generation.

How does collaborative discovery work when defining project-specific implementation rules?▼

Collaborative discovery for implementation rules involves working with technical peers through a guided workflow. This process ensures all critical technology stack details and coding conventions are accurately captured for the AI agent's context document.

Do I need configuration files to use a micro-file architecture for project context generation?▼

Yes, you need a project root directory and existing configuration files to generate project context. The tool utilizes a micro-file architecture to analyze these inputs and discover the optimal context for your AI agent.

Can I automate the creation of a project context document without manually writing AI rules?▼

Yes, you can automate the creation of a project context document without manual writing. The skill generates a markdown file containing AI rules and guidelines by analyzing your project structure and configuration files automatically.

What limitations should I expect when generating project context for complex technology stacks?▼

When generating project context for complex technology stacks, the process relies heavily on existing configuration files and collaborative discovery with peers. Accuracy depends on the completeness of your project root directory and available micro-files.