From sagemaker-ai
Sets up project directories with specs/, scripts/, and notebooks/ folders. Resolves naming from context or PLAN.md for new projects or resuming existing ones.
npx claudepluginhub awslabs/agent-plugins --plugin sagemaker-aiThis skill uses the workspace's default tool permissions.
Before any work begins, resolve the project name:
Generates design tokens/docs from CSS/Tailwind/styled-components codebases, audits visual consistency across 10 dimensions, detects AI slop in UI.
Records polished WebM UI demo videos of web apps using Playwright with cursor overlay, natural pacing, and three-phase scripting. Activates for demo, walkthrough, screen recording, or tutorial requests.
Delivers idiomatic Kotlin patterns for null safety, immutability, sealed classes, coroutines, Flows, extensions, DSL builders, and Gradle DSL. Use when writing, reviewing, refactoring, or designing Kotlin code.
Before any work begins, resolve the project name:
*/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.[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:
<experiment-name>/ directory using the confirmed name for storing all the artifactsWhen 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>_training.ipynb