Why does the skill clone GitHub repositories locally?

Cloning repositories to a temporary local directory allows Claude to bypass web-scraping restrictions on GitHub's raw content, enabling a deeper analysis of the actual codebase, examples, and dependencies.

Where are the research findings stored?

All findings, including code snippets and comparison notes, are organized within a dedicated './scratch/research/' directory in your project for easy review and persistence.

How does Ark Research handle blocked websites during a search?

If a website is inaccessible, the skill proactively prompts the user to provide the content via manual copy-paste, PDF uploads, or screenshots to ensure the research remains comprehensive.

What is the minimum evidence required for a recommendation?

The skill follows a strict protocol requiring at least 2-3 distinct data points—such as active maintenance signals, official documentation, or real-world usage examples—before validating a solution.

Ark Research

Name: Ark Research
Author: mckinsey

bymckinsey

•

305

•

Web Scraping & Data Collection

Researches technical solutions and gathers cross-platform evidence to inform architecture and implementation decisions.

Ark Research is a specialized skill for Claude Code designed to automate the deep discovery phase of software development. It performs comprehensive web searches, clones and analyzes GitHub repositories locally to bypass web blocks, and synthesizes findings into a structured research workspace. By enforcing a rigorous evidence-based approach that requires multiple data points before making recommendations, this skill ensures that developers choose technologies based on active maintenance, proven patterns, and community feedback rather than speculation.

Key Features

01Multi-source web searching for official documentation, RFCs, and tutorials.

02305 GitHub stars

03Automated GitHub repository cloning and deep code analysis for architectural patterns.

04Standardized research workspace management within local scratch directories.

05Evidence-based synthesis requiring at least 2-3 verified data points per solution.

06Structured reporting featuring source-backed pros, cons, and comparison matrices.

Use Cases

01Benchmarking multiple technology stacks to find the most maintainable solution.

02Evaluating and comparing third-party libraries or frameworks for new project features.

03Researching complex protocol specifications and implementation patterns before coding.

Key Features

01Multi-source web searching for official documentation, RFCs, and tutorials.

02305 GitHub stars

03Automated GitHub repository cloning and deep code analysis for architectural patterns.

04Standardized research workspace management within local scratch directories.

05Evidence-based synthesis requiring at least 2-3 verified data points per solution.

06Structured reporting featuring source-backed pros, cons, and comparison matrices.

Use Cases

01Benchmarking multiple technology stacks to find the most maintainable solution.

02Evaluating and comparing third-party libraries or frameworks for new project features.

03Researching complex protocol specifications and implementation patterns before coding.