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observable-framework-data-loaders

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Server-side data processing for Observable Framework.

Software Engineering#caching#data pipelines#file-based routing#observable framework#data loaders#server-side processing
Authorspqw
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables server-side data processing with any programming language, allowing for efficient data loading, caching, and routing within Observable Framework projects.

Core Features & Use Cases

  • Polyglot Data Loading: Write data loaders in JavaScript, TypeScript, Python, R, or any other language.
  • Static Data Snapshots: Generate static data files during build time for improved performance and security.
  • Archive Support: Create and extract data from ZIP, tar, and tar.gz archives.
  • Use Case: Fetch data from a remote API using Python, transform it into a CSV file, and make it available for your Observable Framework dashboard.

Quick Start

Use the observable-framework-data-loaders skill to create a CSV file named 'earthquakes.csv' by fetching data from a specified URL.

Dependency Matrix

Required Modules

None required

Components

references

💻 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: observable-framework-data-loaders
Download link: https://github.com/spqw/skill-observable-framework/archive/main.zip#observable-framework-data-loaders

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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