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Tool/Research/Adapted Open Source

ArXivist

Translates scientific research papers into runnable code repositories.

What It Does

A six agent orchestration pipeline (Paper Parser, SIR Registry, Architecture Planner, Code Generator, Notebook Generator, Results Comparator) that converts academic PDFs into reproducible GitHub codebases.

Origin and Adaptation Notes

Reproducing paper methodologies manually involves tedious parameter extraction and code boilerplate. Schemas between stages prevent errors from compounding.

Attribution: Agent skill implementation crafted by Mehansh Barthwal based on the original concept and repository by qosi org at https://github.com/qosi-org/arxivist.

When to Activate

  • •Converting an arXiv paper PDF or abstract into a runnable code repository
  • •Generating verified Jupyter notebooks directly from research papers
  • •Validating academic intermediate representations against published metrics

When to Avoid

  • •Generating informal paper summaries with no implementation goal

Skill Specification and Runtime Setup

Full Instruction Specification
# ArXivist Specification

## Overview
A six agent orchestration pipeline (Paper Parser, SIR Registry, Architecture Planner, Code Generator, Notebook Generator, Results Comparator) that converts academic PDFs into reproducible GitHub codebases.

## Rationale
Reproducing paper methodologies manually involves tedious parameter extraction and code boilerplate. Schemas between stages prevent errors from compounding.

## Core Principles
* Always verify environment constraints and dependencies before executing.
* Enforce negative constraints and reject speculative abstractions.
* Validate output against stated acceptance rubrics.

## Execution Workflow
1. Discovery: Map requirements and inspect active context.
2. Decomposition: Break down the task into discrete, verifiable phases.
3. Execution: Implement surgical changes preserving existing code architecture.
4. Verification: Test all criteria before declaring completion.

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