literature-to-experiment

Name: literature-to-experiment
Availability: InStock
Author: ar0cket1

Translate literature findings into LLM experiment plans with hypotheses and evaluation criteria.

Updated Aug 23, 2026

Search Tags:#planning #llm #evaluation #literature #hypotheses #datasets #experiment-design

Ready to run

npx skills add https://github.com/ar0cket1/hermes-research-agent --skill literature-to-experiment-ar0cket1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: literature-to-experiment
Source: https://github.com/ar0cket1/hermes-research-agent/tree/main/skills/research/literature-to-experiment
Command: npx skills add https://github.com/ar0cket1/hermes-research-agent --skill literature-to-experiment-ar0cket1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts scattered literature into actionable experimental plans for LLM research, enabling rapid hypothesis testing and planning.

Core Features & Use Cases

Map literature to testable hypotheses and design minimal viable experiments
Generate datasets, evaluation criteria, and training plans from papers, blog posts, or benchmarks
Use case: turn a set of publications about model benchmarks into a concrete experiment blueprint to validate claims.

Quick Start

Turn a set of papers or benchmark notes into a concrete, testable experiment plan including hypotheses, datasets, and evaluation metrics.

Frequently Asked Questions about literature-to-experiment

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

FAQPage Schema

How do I turn research papers into testable LLM experiment plans?▼

To turn research papers into LLM experiment plans, you translate literature findings into actionable hypotheses, select minimum viable experiments, detail dataset choices, and define evaluation criteria before training starts.

What is the process for deriving hypotheses from benchmark notes and blog posts?▼

Deriving hypotheses from benchmark notes and blog posts means mapping literature findings to testable claims, then generating dataset choices and training plans to validate those specific claims through minimal viable experiments.

How do I design minimum viable experiments from literature for LLM training?▼

Designing minimum viable experiments from literature involves selecting the smallest testable setup, detailing required datasets, defining evaluation metrics, and establishing a clear stop condition to validate claims before full training starts.

Can I use literature findings to generate dataset and evaluation criteria for LLM research?▼

Yes, you can use literature findings to generate dataset choices and evaluation criteria for LLM research by translating publications or benchmark notes into a concrete experiment blueprint with defined training plans.

Do I need existing papers to define a stop condition before LLM training starts?▼

Yes, you need existing papers, blog posts, or benchmark notes to define a stop condition before training starts, as the literature provides the claims and metrics that determine when the experiment concludes.