croissant_expert
Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
Best use case
croissant_expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
Teams using croissant_expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/croissant_expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How croissant_expert Compares
| Feature / Agent | croissant_expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Croissant Expert Skill The Croissant Expert skill provides the core logic for working with the [MLCommons Croissant](https://mlcommons.org/croissant) specification. It is responsible for taking dataset descriptions and turning them into 100% compliant JSON-LD metadata files. Croissant files are stored locally in `./data/croissant/` as JSON-LD files. ## Tools ### 1. Serialize to Croissant JSON-LD Transforms a structured metadata JSON into the final Croissant format. **Usage:** ```bash # Standard serialization python3 croissant_expert/scripts/serialize.py <INPUT_METADATA_JSON> [OUTPUT_JSON_LD] # Serialization with Intelligent NLP enrichment # Automatically detects creators, locations, and dates from the description. python3 croissant_expert/scripts/serialize.py <INPUT_METADATA_JSON> --nlp ``` **Metadata Schema:** The input JSON should follow this structure: - `name`: String - `description`: String - `url`: String - `license`: String - `distribution`: List of `FileObject` or `FileSet` - `recordSet`: List of `RecordSet` with `fields` and `source` information. ## Capabilities - **Spec Interpretation**: Access to the latest MLCommons Croissant standard. - **JSON-LD Generation**: Deep understanding of `@context`, `@type`, and linked data principles. - **Validation-Ready**: Output files are designed to pass the official Croissant validator.
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