scout

Fetch external library docs and architecture references via Exa and Context7.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill scout-ellevatedai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/EllevatedAI/MeMyselfAndI/tree/main/.claude/skills/scout
Command: npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill scout-ellevatedai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Isolated research tasks require pulling relevant information from external sources without contaminating internal context and workflows.

Core Features & Use Cases

  • Isolates external research via Exa + Context7 to gather library docs, patterns, architecture references.
  • Provides structured outputs including tldr, recommendation, sources, and triangulation for traceable decision-making.
  • Use cases include quickly gathering credible references during feature design, architecture planning, or competitive research.

Quick Start

Run a focused external inquiry for a topic and return concise, sourced results.

Frequently Asked Questions about scout

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

FAQPage Schema
How do I gather library docs and architecture patterns without polluting my internal context?

Isolated external research gathers trusted information from external sources without polluting internal context. It fetches library docs, patterns, and architecture references via Exa and Context7, returning structured results separate from your workflows.

How do I fetch credible references for feature design and architecture planning?

Run a focused external inquiry during your Spark phase to fetch credible references for feature design or architecture planning. The agent returns concise, sourced results including a TLDR, recommendation, sources, and triangulation for traceable decision-making.

What is the best way to structure external research outputs for traceable decision-making?

Structured external research outputs provide traceable decision-making by returning a TLDR, recommendation, sources, and triangulation. This format ensures you can verify the credibility and origin of gathered library documentation and architecture references.

Does this isolated research agent support YAML prompt-based subagent invocations?

Yes, the isolated research agent supports YAML prompt-based subagent invocations to fetch library docs and architecture references. It uses Exa and Context7 to execute focused external inquiries and outputs structured results.

Can I use Context7 and Exa for competitive research during development?

Yes, you can use this isolated research agent during development when you need credible sources for competitive research. It applies Context7 and Exa to gather trusted information and returns structured results without contaminating your internal context.

When should I use an isolated research agent instead of searching the web directly?

Use an isolated research agent when pulling relevant information from external sources risks contaminating internal context and workflows. It is designed for gathering library docs and architecture references during feature design without polluting your working environment.