Individual skill
directory-management
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.
plugins/sagemaker-ai/skills/directory-management/SKILL.md
Source commit fbefb3764e67558fe10ac834dd85db49734aa9b6
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 937
- Repository last updated
- Nov 5, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agents Repository topic
- coding-agent-skills Repository topic
- coding-agents Repository topic
- agent-plugins Repository topic
- aws Repository topic
- engineering Derived category
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SKILL.mdcore · 1,763 bytes
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# 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
