Why does the skill clone GitHub repositories instead of just viewing them?

Raw content on GitHub is often blocked for automated tools; cloning the repository allows the skill to perform a deep-dive analysis of the codebase, examples, and internal documentation.

What is the benefit of the 'Evidence Requirements' feature?

By requiring 2-3 distinct data points (such as active repos and official specs), the skill prevents making recommendations based on outdated or anecdotal information, ensuring high-quality technical decisions.

Where does the skill store its research findings?

All research artifacts, including cloned repository summaries and comparison notes, are stored locally in the ./scratch/research/ directory for persistent access.

How does Ark Research handle blocked websites or content?

If a website cannot be accessed directly, the skill will prompt the user to paste the relevant content, provide a PDF, or share screenshots to ensure the research remains comprehensive.

Ark Technical Research

Name: Ark Technical Research
Author: dwmkerr

bydwmkerr

•

ウェブスクレイピングとデータ収集

Conducts deep technical research by gathering multi-source evidence, analyzing GitHub repositories, and documenting implementation options.

概要

Ark Research is a specialized Claude Code skill designed to streamline technical investigations by systematically searching the web, cloning and analyzing GitHub repositories, and synthesizing findings into actionable recommendations. It enforces a rigorous evidence-based approach, requiring multiple data points before suggesting a solution, and maintains a local workspace for all research artifacts to ensure developers have a clear paper trail for architectural decisions. It is particularly useful when evaluating new technologies or exploring complex implementation patterns.

主な機能

Automated GitHub repository cloning and deep analysis of code patterns and dependencies.
Standardized evidence gathering with a mandatory 2-3 datapoint minimum for recommendations.
2 GitHub stars
Multi-source web search for documentation, RFCs, and protocol specifications.
Local research workspace management in the ./scratch/research/ directory.
Structured output formatting for side-by-side technical comparisons and source attribution.

ユースケース

Gathering real-world usage examples and architecture patterns from active open-source projects.
Comparing multiple libraries or frameworks before starting a new feature implementation.
Investigating protocol specifications and RFCs for complex system integrations.

概要

主な機能

Automated GitHub repository cloning and deep analysis of code patterns and dependencies.
Standardized evidence gathering with a mandatory 2-3 datapoint minimum for recommendations.
2 GitHub stars
Multi-source web search for documentation, RFCs, and protocol specifications.
Local research workspace management in the ./scratch/research/ directory.
Structured output formatting for side-by-side technical comparisons and source attribution.

ユースケース

Gathering real-world usage examples and architecture patterns from active open-source projects.
Comparing multiple libraries or frameworks before starting a new feature implementation.
Investigating protocol specifications and RFCs for complex system integrations.