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my:source-code-learning

Map codebases from architecture to implementation with call graphs.

1|1|Updated Apr 11, 2026
Search Tags:#architecture#debugging#codebase#call-graph#code-navigation#source-code#code-learning
One-click install
npx skills add https://github.com/wangke19/my-claude-skills --skill my-source-code-learning
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: my:source-code-learning
Source: https://github.com/wangke19/my-claude-skills/tree/main/plugins/source-code-learning/skills/source-code-learning
Command: npx skills add https://github.com/wangke19/my-claude-skills --skill my-source-code-learning

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Help users understand a codebase deeply, from high-level architecture to individual function calls, enabling faster onboarding, debugging, and architectural discussions.

Core Features & Use Cases

  • Build a scalable code map and module overview for complex repositories
  • Trace control flow and data flow with a call graph to understand execution paths
  • Support onboarding, code review, debugging, and design discussions with concrete file paths and interfaces

Quick Start

Walk me through this codebase from architecture to individual function calls.

Frequently Asked Questions about my:source-code-learning

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

FAQPage Schema
How do I understand a large codebase from high-level architecture to implementation?▼

You can understand a large codebase by building a scalable code map for module overviews and using a call graph to trace control flow down to individual function calls for implementation details.

What is the best way to trace control flow and data flow during source code learning?▼

The best way to trace control flow and data flow is by generating a call graph. This maps execution paths and function calls, providing concrete file paths and interfaces to clarify complex execution routes.

Can I use code navigation techniques for onboarding and debugging complex repositories?▼

Yes, code navigation techniques support both onboarding and debugging. By mapping the codebase architecture and tracing execution paths, you can quickly locate issues and understand module interfaces in complex repositories.

How do I map a codebase architecture for a code review or design discussion?▼

Map codebase architecture by creating a module overview that highlights concrete file paths and interfaces. This scalable code map provides the structural context needed for effective code reviews and architectural design discussions.

Does codebase review work for large repositories with complex module dependencies?▼

Yes, codebase review works for large repositories by building a scalable code map. It breaks down complex module dependencies and traces data flow, ensuring deep architectural understanding and efficient onboarding.

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