awslabs/directory-management
plugins/sagemaker-ai/skills/directory-management/SKILL.md
Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/, manifests/, agent_memory/) and resolves project naming.
$ install --global
skillsauthnpx skillsauth add awslabs/agent-plugins directory-managementInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 11, 2026, 4:09 AM306.9s1 file scanned
SKILL.md
- name:
- directory-management
- description:
- Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/, manifests/, agent_memory/) and resolves project naming.
- version:
- 1.0.0
Directory Management
Project Setup
Before any work begins, resolve the project name:
- If the project name is already known from conversation context, use it.
- Otherwise, scan for existing
*/PLAN.mdfiles in the current directory. If found, ask the user if they are resuming an existing project and load thatPLAN.mdinto context. - 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:
- Create and/or use the
<experiment-name>/directory using the confirmed name for storing all the artifacts
Directory Structure
When working with the agent, all generated files are organized under an project directory.
<project-name>/
├── specs/
│ ├── PLAN.md # Your customization plan
├── scripts/ # Generated Python scripts
│ ├── <project-name>_transform_fn.py
├── notebooks/ # Generated Jupyter notebooks
│ ├── <project-name>.ipynb
├── manifests/ # Machine-readable outputs (JSON)
└── agent_memory/ # Session persistence (git-ignored)
└── session-notes.md # Progress, artifacts, next steps
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