Individual skill
cocoindex
Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge graphs, creating search indexes, or processing data streams with incremental updates.
cocoindex/SKILL.md
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- Apache-2.0
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- claude-code Repository topic
- claude-skills Repository topic
- cocoindex Repository topic
- data Repository topic
- etl Repository topic
- data Derived category
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# CocoIndex
## Overview
CocoIndex is an ultra-performant real-time data transformation framework for AI with incremental processing. This skill enables building **indexing flows** that extract data from sources, apply transformations (chunking, embedding, LLM extraction), and export to targets (vector databases, graph databases, relational databases).
**Core capabilities:**
1. **Write indexing flows** - Define ETL pipelines using Python
2. **Create custom functions** - Build reusable transformation logic
3. **Operate flows** - Run and manage flows using CLI or Python API
**Key features:**