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ara-compiler

Convert research documents and codebases into structured Agent-Native Research Artifacts.

6|3|Updated Jan 29, 2026
Search Tags:#PDF processing#knowledge extraction#research compilation#ARA#machine-executable knowledge
One-click install
npx skills add https://github.com/jonnabio/ace-framework --skill ara-compiler-jonnabio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ara-compiler
Source: https://github.com/jonnabio/ace-framework/tree/main/.ace/packs/ai-research/compiler
Command: npx skills add https://github.com/jonnabio/ace-framework --skill ara-compiler-jonnabio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill transforms diverse research inputs like PDFs, codebases, and notes into structured Agent-Native Research Artifacts (ARA), facilitating machine-executable knowledge and research artifact creation.

Core Features & Use Cases

  • ARA Compilation: Converts research inputs into ARA, containing cognitive and physical layers with a structured knowledge representation.
  • Flexible Input: Handles PDFs, code, notes, and more.
  • Use Case: Use the Skill to create an ARA from a technical paper, capturing all relevant information and presenting it in a structured format for AI processing.

Quick Start

Compile an ARA from a paper by using the ara-compiler skill with the path to the PDF.

Frequently Asked Questions about ara-compiler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compile research PDFs into a structured machine-readable knowledge format?▼

Compiling research PDFs into machine-readable knowledge requires converting unstructured documents into Agent-Native Research Artifacts (ARA) with cognitive and physical layers. This transformation structures diverse research inputs for AI processing.

What is an Agent-Native Research Artifact and when do I need one?▼

An Agent-Native Research Artifact (ARA) is a structured, machine-executable knowledge package containing cognitive and physical layers. You need one when transforming unstructured research documents into formats accessible for AI processing.

Can I use codebases and notes as inputs to extract structured knowledge alongside PDFs?▼

Flexible input handling supports codebases, notes, and PDFs for knowledge extraction. The compilation process parses these diverse research sources to create a unified, structured ARA representation.

What's the best way to convert a technical paper into a structured knowledge representation for AI?▼

Converting a technical paper into structured knowledge involves using an ARA compiler to process the PDF path. The compiler captures relevant information and structures it into cognitive and physical layers for machine execution.

Do I need parsing capabilities to transform unstructured research into structured ARA formats?▼

Processing and parsing capabilities are required to transform unstructured research into structured ARA formats. These capabilities enable the extraction and compilation of knowledge from diverse inputs like PDFs and codebases.

Why does compiling research artifacts require both cognitive and physical layers?▼

Compiling research artifacts uses cognitive and physical layers to separate structured knowledge representation from executable data. This dual-layer ARA design ensures machine-executable knowledge is accurately captured and processed.

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