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scout

Analyze peer projects to produce ADOPT, ADAPT, SKIP, and WATCH verdicts.

8|1|Updated Jul 2, 2026
Search Tags:#github#product strategy#feature parity#competitive analysis#source evidence#peer research
One-click install
npx skills add https://github.com/duthaho/skillhub --skill scout-duthaho
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/duthaho/skillhub/tree/main/.claude/skills/scout
Command: npx skills add https://github.com/duthaho/skillhub --skill scout-duthaho

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Scout helps you compare your project against similar tools so you can make product decisions based on real evidence instead of copying features blindly. It turns competitor research into a structured judgment about what to adopt, adapt, skip, watch, and protect.

Core Features & Use Cases

  • Peer discovery: Finds relevant competing or adjacent projects using topics, keyword search, package registries, and curated lists.
  • Evidence-based recon: Collects open issue demand, release activity, and documentation claims, with locators for every finding.
  • Verdicting and memory: Produces ADOPT, ADAPT, SKIP, or WATCH decisions and records prior scouting so future runs focus on what changed.
  • Use case: Use it when you want a concise market scan for a new feature, a comparison against a named competitor, or a source-backed assessment of missing capabilities.

Quick Start

Run scout in Claude Code on your repository to identify peers, compare demand signals, and produce a source-backed verdict report.

Frequently Asked Questions about scout

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

FAQPage Schema
How do I analyze peer projects for feature parity and competitive reconnaissance?▼

Competitive analysis for software projects requires collecting source-backed evidence from open issues, release activity, and documentation, then producing structured ADOPT, ADAPT, SKIP, and WATCH verdicts to guide feature parity decisions instead of copying features blindly.

What is the best way to compare my GitHub repository against similar tools?▼

Comparing your GitHub repository against similar tools involves discovering peers through topics, keyword search, and package registries, then gathering demand signals and documentation claims with locators to generate a source-backed assessment of missing capabilities.

How do I decide which competitor features to adopt, adapt, skip, or watch?▼

Deciding which competitor features to adopt, adapt, skip, or watch involves evaluating source-backed evidence from peer projects, including open issue demand and release activity, to form structured verdicts that record prior scouting and focus future runs on what changed.

Can I use source evidence from GitHub issues and releases for product strategy planning?▼

Yes, you can use source evidence from GitHub issues and releases for product strategy by collecting open issue demand and release activity with locators, turning competitor research into structured judgments about what to adopt, adapt, skip, watch, and protect.

Does peer research for feature gaps require source-backed evidence from documentation?▼

Peer research for feature gaps requires source-backed evidence from documentation claims, open issues, and release activity to ensure product decisions are based on real evidence rather than blindly copying features from adjacent projects.

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