What is a project-aware workspace?

A project-aware workspace is a structured directory layout that separates persistent project context (static information like team roles and tech stacks) from daily task execution (dynamic date-based folders), allowing AI agents to remain informed about the project's broader goals.

Can I integrate my existing developer tools?

Yes, the included TECH.md template allows you to document your tech stack, including MCP server URLs, API endpoints, and local scripts, enabling the AI to interact more effectively with your specific environment.

How does the date-based organization work?

The skill automatically creates subfolders within a 'dynamic' directory formatted by the current date (YYYY-MM-DD). This keeps daily outputs, logs, and task-specific data neatly separated and easy to reference chronologically.

What is the purpose of the AGENTS.md file?

AGENTS.md acts as a specialized guide for AI agents. It provides instructions on how to navigate the workspace, where to find project context, and how to maintain the organized structure during task execution.

Project-Aware Workspace Manager

Name: Project-Aware Workspace Manager
Author: NASA-AMMOS

byNASA-AMMOS

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Productivity & Workflow

Initializes a structured AI workspace with automated date-based folder management and persistent project context tracking.

About

The Project-Aware Workspace Manager provides a foundational architecture designed to maintain deep context for AI agents across complex software projects. By establishing a dual-structure system—static folders for persistent data like team roles and tech stacks, and dynamic folders for daily, date-organized tasks—it enables Claude to operate with consistent awareness of project goals. This skill automates the creation of essential templates and scripts, ensuring that your AI-assisted development environment is organized, searchable, and project-literate from day one.

Key Features

31 GitHub stars
Centralized repository for meeting notes, product deliverables, and repository links
Foundational framework for cross-skill execution and automated summary generation
Seamless AI agent integration via AGENTS.md and CLAUDE.md symbolic links
Static documentation templates for project goals, teams, and tech stacks
Automated date-organized folder hierarchy for daily task tracking

Use Cases

Starting a new software project that requires long-term AI context and history management
Organizing daily AI agent outputs into structured, date-coded subfolders for better traceability
Creating a 'source of truth' for AI tools regarding team structure, communication channels, and tech stack

About

Key Features

31 GitHub stars
Centralized repository for meeting notes, product deliverables, and repository links
Foundational framework for cross-skill execution and automated summary generation
Seamless AI agent integration via AGENTS.md and CLAUDE.md symbolic links
Static documentation templates for project goals, teams, and tech stacks
Automated date-organized folder hierarchy for daily task tracking

Use Cases

Starting a new software project that requires long-term AI context and history management
Organizing daily AI agent outputs into structured, date-coded subfolders for better traceability
Creating a 'source of truth' for AI tools regarding team structure, communication channels, and tech stack