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Composition AI Research

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Turn AI into reliable composition data.

Education & Research#verification#composition#citation#sources#ai-research#data-sourcing
Authornategarelik
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps researchers gather accurate composition data from reliable sources using AI, reducing manual search time and ensuring structured results.

Core Features & Use Cases

  • Source-first research: Prioritize official and scientific sources to build a credible composition record.
  • Structured data output: Produce hierarchical composition data with confidence levels and sources.
  • Use Case: Build a composition database for product catalogs by researching the subject’s name, category, and materials, then storing results with sources.
  • Verification: Annotate each data point with confidence levels (verified, estimated, speculative) and source citations.

Quick Start

Provide the subject to research, for example "Kellogg's Frosted Flakes", and instruct the AI to gather ingredients, materials, and elemental data from primary sources.

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: Composition AI Research
Download link: https://github.com/nategarelik/composition/archive/main.zip#composition-ai-research

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