scout

Name: scout
Availability: InStock
Author: louzhengshuai

Frame research objectives, datasets, metrics, and baselines.

Updated Jul 1, 2026

Search Tags:#research workflow #research framing #baseline discovery #dataset clarification #metric identification

Ready to run

npx skills add https://github.com/louzhengshuai/seepscientist --skill scout-louzhengshuai

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill assists in framing research objectives, clarifying datasets, metrics, and baselines, enabling smoother progression to the next stage of research.

Core Features & Use Cases

Problem Framing: Identify and resolve ambiguities in research objectives and methodology.
Dataset Clarification: Understand dataset definitions, splits, and evaluation metrics.
Baseline Identification: Discover and evaluate baseline candidates for comparison.
Use Case: When beginning a new research project, use the Scout Skill to ensure the research question is well-defined, the necessary data is clear, and baseline performance is understood.

Quick Start

Activate the Scout Skill and provide the research objective you need to clarify.

Frequently Asked Questions about scout

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

FAQPage Schema

How do I clarify research objectives and define the problem scope for a new project?▼

To clarify research objectives, you need to frame the problem by identifying ambiguities in your methodology and defining the specific scope of your research question before progressing to data collection.

What is the best way to identify and evaluate baseline candidates for comparison?▼

Identifying baseline candidates requires robust search and analysis capabilities to discover existing models, evaluate their performance against your defined metrics, and establish a comparison foundation for your research.

How do I define datasets and evaluation metrics for my research workflow?▼

Defining datasets and evaluation metrics involves understanding dataset definitions, structuring data splits, and identifying the specific measurement criteria needed to evaluate your research outcomes effectively.

When do I need research framing assistance in my development process?▼

You need research framing assistance at the beginning of a new research project when clarity on problem scope, dataset definitions, and baseline methodology is crucial for establishing a solid foundation.

Can I use this approach to resolve ambiguities in my research methodology?▼

Yes, problem framing specifically identifies and resolves ambiguities in research objectives and methodology, ensuring your research question is well-defined and your necessary data is clear before continuing.