scout

Explore literature and baselines to frame early-stage research tasks.

1|Updated May 15, 2026

Search Tags:#literature search #problem clarification #research framing #baseline identification #dataset selection

Ready to run

npx skills add https://github.com/BoomberAsp/DeeperScientist --skill scout-boomberasp

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/BoomberAsp/DeeperScientist/tree/main/src/skills/scout
Command: npx skills add https://github.com/BoomberAsp/DeeperScientist --skill scout-boomberasp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps in framing research tasks by clarifying problem scope, identifying appropriate datasets, metrics, and baselines, and resolving ambiguities in the early stages of research.

Core Features & Use Cases

Problem Framing: Aid in shaping research problems by addressing unclear goals, metrics, and dataset requirements.
Literature Scouting: Search and summarize relevant literature and benchmarks.
Baseline Discovery: Identify and evaluate potential baselines for the research task.
Use Case: If you're starting a new research project on image classification and need to identify a relevant dataset and metric, the scout skill can help you with these tasks.

Quick Start

Execute the 'scout' command to start the problem framing process for your research task.

Frequently Asked Questions about scout

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

FAQPage Schema

How do I clarify research problem scope and identify appropriate datasets for early-stage research framing?▼

To clarify research problem scope, you can use literature scouting to assess task framing, define metric contracts, and identify appropriate datasets. This resolves ambiguities by evaluating dataset requirements and benchmark evaluations during early-stage research framing.

What is the best way to find relevant baselines and benchmark evaluations for a new research task?▼

The best way to find relevant baselines is through targeted literature exploration that evaluates baseline routes and searches for benchmark evaluations. This baseline discovery process identifies and evaluates potential baselines suited for your research task.

How does literature search help with research framing and metric contract assessment?▼

Literature search helps with research framing by coordinating structured searches for relevant papers to assess metric contracts and baseline routes. It addresses unclear goals and metric requirements to resolve ambiguities in early-stage research.

Can I use this approach to identify a relevant dataset and metric for image classification research?▼

Yes, you can use this approach to identify a relevant dataset and metric for image classification research. It aids in shaping research problems by addressing unclear goals, metric requirements, and dataset selection for tasks like image classification.

When do I need structured guidelines for literature scouting and dataset selection?▼

You need structured guidelines for literature scouting and dataset selection when starting a new research project and facing unclear goals. These guidelines coordinate searches for papers, datasets, and benchmark evaluations to resolve early-stage ambiguities.