Research-from-Paper Orchestrator

Coordinate a ten-phase research workflow reproducing results and evaluating methods.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/Tnemo65/template --skill research-from-paper-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Research-from-Paper Orchestrator
Source: https://github.com/Tnemo65/template/tree/main
Command: npx skills add https://github.com/Tnemo65/template --skill research-from-paper-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Research-from-Paper Orchestrator enables autonomous, end-to-end treatment of a scholarly paper: it coordinates a ten-phase pipeline that reproduces original results, evaluates candidate methods, and produces publication-ready output with rigorous methodology and traceability.

Core Features & Use Cases

  • Orchestrates a multi-phase research workflow from paper intake to final manuscript, including protocol lock, verification, evaluation, and integrity gates.
  • Coordinates a team of specialized agents to perform literature review, methodology planning, artifact discovery, experiment design, training, evaluation, and paper writing, while maintaining strict provenance and reproducibility.
  • Supports end-to-end research automation for ML/AI papers, with auditable git commits for protocol pre-commitment and a structured state-tracking model.

Quick Start

Place the target paper PDF in the project root and instruct the orchestrator to start Phase 0.

Quick Start: Place the target paper PDF in the project root and instruct the orchestrator to start Phase 0.

Frequently Asked Questions about Research-from-Paper Orchestrator

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

FAQPage Schema
How do I automate end-to-end research workflow from a paper PDF?

To automate research workflow from a paper PDF, place the target paper in your project root and instruct the orchestrator to start Phase 0. It coordinates a ten-phase pipeline from paper intake to final manuscript, handling reproduction and evaluation autonomously.

How does protocol locking and pre-commitment work for research experimentation?

Protocol locking and pre-commitment for research experimentation work by using auditable git commits to lock protocols before evaluation. This ensures rigorous traceability and reproducibility for claims and evidence throughout the research pipeline.

Can I use this research orchestrator to reproduce machine learning results and test new methods?

Yes, you can use this research orchestrator to reproduce original machine learning results and test new methods. It coordinates specialized agents across ten defined phases, evaluating candidates under strict integrity gates to verify outcomes.

What is the best way to maintain provenance and traceability during automated experimentation?

The best way to maintain provenance and traceability during automated experimentation is using a structured state-tracking model with explicit pre-commitment. This orchestrator enforces robust provenance and rigorous traceability for all claims and evidence.

Do I need specialized agents to coordinate literature review and paper writing for my research pipeline?

You do not need to manually manage specialized agents for literature review and paper writing in your research pipeline. This orchestrator coordinates a team of specialized agents autonomously, handling methodology planning, artifact discovery, and manuscript generation.