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Iranb
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autoreskill-workflow

Orchestrate AutoResearch workflows with PaperNexus integration for project setup and experiment execution.

Updated May 27, 2026
Search Tags:#literature review#experiment tracking#AutoResearch#autoreskill#PaperNexus
One-click install
npx skills add https://github.com/Iranb/codex-autoresearch-skill-pack --skill autoreskill-workflow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autoreskill-workflow
Source: https://github.com/Iranb/codex-autoresearch-skill-pack/tree/main/skills/autoreskill-workflow
Command: npx skills add https://github.com/Iranb/codex-autoresearch-skill-pack --skill autoreskill-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, papernexus, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines AutoResearch workflows, integrating PaperNexus for literature discovery and experiment tracking, providing a comprehensive toolset for planning, executing, and analyzing research.

Core Features & Use Cases

  • Workflow Conductor: Orchestrate various research stages from initialization to submission.
  • Integration with PaperNexus: Seamlessly access literature discovery and graph work.
  • Remote/HPC Support: Facilitates execution on remote servers or high-performance computing environments.
  • Use Case: A researcher wants to conduct an AutoResearch project with extensive literature review and experiment execution. This Skill can manage the entire workflow, from setting up goals and experiments to analyzing results.

Quick Start

Use the autoreskill-workflow skill to initialize a new AutoResearch project by running 'autoreskill init' with the required project information.

Frequently Asked Questions about autoreskill-workflow

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

FAQPage Schema
How do I manage an automated literature review and experiment tracking workflow?▼

You can orchestrate an automated literature review and experiment tracking workflow by initializing a project, executing experiments, and analyzing results using integrated graph-based literature discovery tools.

Does the workflow support remote execution for high-performance computing environments?▼

Yes, the workflow explicitly supports remote execution and high-performance computing environments, allowing you to facilitate experiment execution and analysis on remote servers seamlessly.

What dependencies do I need to run graph-based literature discovery tasks?▼

You need Python installed for deterministic tasks and the PaperNexus framework to handle graph work and literature discovery within the research workflow.

How do I initialize a new AutoResearch project?▼

To initialize a new AutoResearch project, run the initialization command with the required project information to set up your research goals, experiments, and tracking environment.

Can I integrate PaperNexus for literature discovery within my experiment tracking?▼

Yes, PaperNexus integrates directly into the workflow to provide seamless literature discovery and graph work alongside your experiment execution and analysis stages.

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