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Convert Croissant datasets into structured Obsidian Markdown notes with frontmatter and semantic tags.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Fetch and store transcripts from YouTube videos for deep content analysis.
Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
Universal Numeric Fingerprint (UNF) generator. For strings, it splits into words and sorts them alphabetically to provide order-invariant fingerprints. Supports dataframes and files too.
Send results and data files to stakeholders via email.
The Visual Systems Architect is an expert in translating complex technical requirements and infrastructure setups into structured, visually intuitive architectural diagrams (Mermaid.js).
Secure GitHub Orchestrator for Croissant Toolkit. Connect any repository, discovery skills, and audit ODRL sovereignty status.
| name | obsidian_expert |
| description | Convert Croissant datasets into structured Obsidian Markdown notes with frontmatter and semantic tags. |
The Obsidian Expert skill bridges the gap between structured machine learning metadata and personal knowledge management. It transforms Croissant JSON-LD files into beautiful, interlinked Markdown notes.
#Volodymyr_Zelenskyy).Set the path to your Obsidian vault to automatically sync notes:
export OBSIDIAN_VAULT_PATH="/Users/yourname/Documents/MyVault/CroissantNotes"
python3 skills/obsidian_expert/scripts/to_obsidian.py "./data/croissant/my_dataset.jsonld"
python3 skills/obsidian_expert/scripts/to_obsidian.py "./data/croissant/my_dataset.jsonld" "./my-vault"
Each note follows a professional layout: