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AutomationPython

Directory Management

by awslabs

Directory Management is an Automation skill for Claude Code, published by awslabs in agent-plugins.

867 stars145 forkson awslabs/agent-pluginsAdded 2026/08/22Repository updated 2026/08/21
agent-pluginsagent-skillsagentsawscoding-agent-skillscoding-agents
Install in seconds
Install Directory Management
Copy Directory Management into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/directory-management ~/.claude/skills/directory-management

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/awslabs/agent-plugins.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
plugins/sagemaker-ai/skills/directory-management/SKILL.md in awslabs/agent-plugins
Installs to
~/.claude/skills/directory-management
Collection
One of 25 skills cataloged from this repository
Category
Automation1523 skills

What Directory Management does

Directory Management resolves a project name and creates a standard folder structure for plans, scripts, notebooks, manifests, and agent memory. Use it when starting a new project or resuming an existing one with a PLAN.md.

Directory Management is cataloged under Automation on DirSkills. Directory Management comes from a repository tagged agent-plugins, agent-skills, agents, aws and coding-agent-skills.

Documentation

README

Directory Management

Project Setup

Before any work begins, resolve the project name:

  1. If the project name is already known from conversation context, use it.
  2. Otherwise, scan for existing */PLAN.md files in the current directory. If found, ask the user if they are resuming an existing project and load that PLAN.md into context.
  3. If no existing projects are found, recommend a ≤64-char lowercase slug based on what you know from the conversation (only [a-z0-9-]), or ask directly if there isn't enough context. Present the recommended name and wait for user confirmation.

Once project name is resolved:

  1. Create and/or use the <experiment-name>/ directory using the confirmed name for storing all the artifacts

Directory Structure

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Directory Management

  • What else does awslabs publish alongside Directory Management?

    Directory Management is one of 25 skills that DirSkills catalogs from awslabs/agent-plugins, the repository it ships in. Its siblings there include AWS Architecture Diagram, AWS Lambda and AWS Lambda Durable Functions. Each one is a separate skill with its own page in this directory, installs the same way Directory Management does, and is maintained by awslabs in that same repository. The rest of the collection is listed on the awslabs/agent-plugins page.

  • How does Directory Management compare to other Automation skills?

    Directory Management ranks #946 by stars among the 1523 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Directory Management against them. Open each page to compare what they document and how they install.

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