wizard
The ultimate data integrator. Orchestrates transcription, translation, NLP analysis, and Croissant serialization into a single automated pipeline.
Best use case
wizard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
The ultimate data integrator. Orchestrates transcription, translation, NLP analysis, and Croissant serialization into a single automated pipeline.
Teams using wizard 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/wizard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How wizard Compares
| Feature / Agent | wizard | 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?
The ultimate data integrator. Orchestrates transcription, translation, NLP analysis, and Croissant serialization into a single automated pipeline.
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
# Wizard Skill The Wizard skill is the high-level conductor of the Croissant Toolkit. It automates the entire journey from a raw data source (like a YouTube video or a foreign-language document) to a fully compliant and enriched Croissant JSON-LD file. ## Workflow 1. **Acquisition**: Fetches content via `Transcriber` (for videos) or reads local files. 2. **Harmonization**: Passes content through the `Translator` to ensure it's in English and refined. 3. **Intelligence**: Uses the `NLP Expert` (via the Croissant Expert integration) to automatically detect creators, locations, and dates. 4. **Finalization**: Generates the standardized `Croissant JSON-LD` file in `./data/croissant/`. ## Tools ### 1. The Automated Pipeline Runs the full integration flow on any provided content or URL. **Usage:** ```bash # Process a YouTube video into a Croissant file python3 wizard/scripts/wizard.py "https://www.youtube.com/watch?v=VIDEO_ID" "My Dataset Name" # Process a local file python3 wizard/scripts/wizard.py ./data/my_notes.txt "Notes Dataset" # Process raw text python3 wizard/scripts/wizard.py "Long description of my dataset..." "My Dataset" ``` ## Capabilities - **Multi-Skill Orchestration**: Zero-config coordination between Transcriber, Translator, NLP, and Croissant skills. - **Smart Detection**: Automatically handles YouTube URLs vs. local files vs. raw strings. - **Auto-Enrichment**: Always applies NLP analysis to maximize metadata quality.
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