fabric-ai-functions
CommunityTransform data at scale with AI in Fabric notebooks
Authorwardawgmalvicious
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of applying AI transformations to large-scale tabular data within Fabric notebooks, offering a streamlined approach to enrich, classify, extract, summarize, translate, or embed data using pre-built LLM functions.
Core Features & Use Cases
- LLM Transformations: Apply sentiment analysis, classification, embeddings, extraction, grammar correction, response generation, similarity, summarization, and translation to data.
- Data Scale: Handles thousands to millions of rows with minimal code, managing concurrency and endpoint interactions.
- Use Case: For instance, use this Skill to automatically classify customer feedback into categories or summarize lengthy reports into concise summaries.
Quick Start
Use the fabric-ai-functions skill to analyze the sentiment of a column in your DataFrame named 'feedback'.
Dependency Matrix
Required Modules
pandasPySparksynapse.ml.aifunc
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fabric-ai-functions Download link: https://github.com/wardawgmalvicious/claude-config/archive/main.zip#fabric-ai-functions Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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