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ai-parsing-data

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Turn messy text into structured data.

Data & Analytics#json#invoices#nlp#parsing#data-extraction#structured-data#emails
Authorlebsral
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Pull structured data from messy text using AI to enable downstream processing across invoices, emails, resumes, articles, forms, and other unstructured sources.

Core Features & Use Cases

  • Define extraction schema and fields to output (name, email, date, etc.)
  • Build parsers with DSPy extraction and structured outputs (including nested models)
  • Validate, test, and improve accuracy with metrics and guardrails

Quick Start

Describe the data you want to extract, define the output schema, and run the DSPy parser to extract structured data from your text.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: ai-parsing-data
Download link: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/archive/main.zip#ai-parsing-data

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