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research

Analyze vendor code repositories and document architecture, data structures, and algorithms.

50|28|Updated Mar 21, 2021
Search Tags:#architecture#code analysis#research#design decisions#upstream repositories
One-click install
npx skills add https://github.com/tyrchen/rust-lib-template --skill research-tyrchen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/tyrchen/rust-lib-template/tree/main/.claude/skills/research
Command: npx skills add https://github.com/tyrchen/rust-lib-template --skill research-tyrchen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of gathering in-depth technical insights and evaluations of repositories and technologies, empowering informed decision-making.

Core Features & Use Cases

  • Deep Research Memoing: Produces comprehensive, well-structured memos covering architecture, data structures, and algorithms of upstream codebases.
  • Vendor Repos Analysis: Reads deeply into upstream repositories to understand their internal workings, dependencies, and design choices.
  • Use Case: Before designing a new feature, analyze an existing library to understand its inner modules, critical data structures, and algorithms, to inform the implementation.

Quick Start

Guide the AI to investigate a specific repository, vendor it, explore key modules, and document findings to ensure thorough understanding.

Frequently Asked Questions about research

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

FAQPage Schema
How do I analyze an upstream repository to understand its architecture and design decisions?▼

Deep repository analysis involves reading upstream vendor code to understand internal modules, critical data structures, and algorithms. You document these design choices and module interactions in a comprehensive research memo to support informed decision-making.

What is the best way to document code analysis for complex system architecture?▼

The best way to document architecture is through deep research memoing, which produces well-structured memos covering critical data structures, algorithms, and module interactions. This ensures a thorough understanding of complex system designs.

When do I need to perform deep research into a vendor codebase?▼

You need to perform deep research into a vendor codebase before designing a new feature or making critical technology decisions. Analyzing existing libraries reveals their inner workings and dependencies, directly informing your implementation strategy.

Can I use this approach to investigate critical algorithms in existing libraries?▼

Yes, you can investigate critical algorithms in existing libraries by exploring their upstream repositories. This process focuses on detailed, architecture-level exploration to understand the algorithms and module interactions driving the technology.

Does repository analysis require exploring module interactions and data structures?▼

Yes, repository analysis requires exploring module interactions and critical data structures to facilitate detailed architecture-level documentation. This comprehensive exploration is necessary to understand the internal workings of the codebase fully.

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