slim-project-aware-workspace

Generate a date-organized project workspace with dynamic and static folders.

35|14|Updated Feb 16, 2022
One-click install
npx skills add https://github.com/NASA-AMMOS/slim --skill slim-project-aware-workspace
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: slim-project-aware-workspace
Source: https://github.com/NASA-AMMOS/slim/tree/main/static/marketplace/skills/slim-project-aware-workspace
Command: npx skills add https://github.com/NASA-AMMOS/slim --skill slim-project-aware-workspace

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This skill creates a date-organized project workspace on disk, providing a dynamic daily folder structure for running multiple AI tasks and a static folder for project information, capable of housing personnel, meetings, products, and repos to preserve project context.

Core Features & Use Cases

  • Establishes a root workspace with a dynamic/date-based folder (dynamic/YYYY-MM-DD) and a static information hub (static/ with templates).
  • Supports multi-skill workflows by offering a consistent, repeatable project context for agents to operate within.
  • Ideal for starting new projects or coordinating complex, time-bound activities that require persistent project context and templated documentation.

Quick Start

Run the Python script to initialize a new workspace: python scripts/create_ai_workspace.py <workspace_name> [base_path] [templates_path]

Frequently Asked Questions about slim-project-aware-workspace

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

FAQPage Schema
How do I set up a date-organized project workspace for multi-skill AI workflows?▼

A project-aware workspace provides a dynamic daily folder structure (YYYY-MM-DD) and a static information hub to preserve project context. This setup supports running multiple AI tasks by maintaining consistent, repeatable project context for agents.

Why use date-based folders for AI project management?▼

Date-based folders organize daily AI task outputs chronologically while separating dynamic actions from static project information. This structure ensures persistent project context and templated documentation across complex, time-bound activities.

How do I initialize a new project workspace using Python?▼

Initialize a new project workspace by running: python scripts/create_ai_workspace.py <workspace_name> [base_path] [templates_path]. The script uses asset templates to create the folder structure and a CLAUDE.md linkage for AI agent guidance.

Can I use this workspace setup to coordinate actions across several AI skills?▼

Yes, the workspace setup specifically targets coordinating actions across several AI skills within a consistent context. It provides templated static information and a standardized directory structure to guide multi-skill AI workflows.

What is included in the static folder of the generated AI workspace?▼

The static folder serves as an information hub containing templates capable of housing personnel, meetings, products, and repos. It preserves project context separately from the dynamic date-based daily task folders.