Explain code, features, and architecture by reading code and tracing calls.
npx skills add https://github.com/drimchansky/agents-kit --skill explain-drimchansky
Please help me install this Agent Skill. Skill: explain Source: https://github.com/drimchansky/agents-kit/tree/main/skills/explain Command: npx skills add https://github.com/drimchansky/agents-kit --skill explain-drimchansky
This Skill provides clear, structured explanations of code, features, or architecture, adapting the depth and focus to the user's specific question.
Explain the purpose and functionality of the process_payment function.
High-intent search queries and answers about installing and using this skill.
Understanding unfamiliar code requires tracing calls, checking types, and reviewing tests to reveal data flow. This approach clarifies the purpose of modules and how components integrate within the larger system architecture.
A detailed walkthrough of a specific function involves reading the code and examining documentation to explain its logic. This reveals non-obvious behavior and clarifies how the function processes data.
Yes, code explanation tools trace data flow across modules by gathering context from calls and types. This reveals how data moves through the system and clarifies the business purpose of features.
This approach works for both high-level architecture overviews and line-by-line code. It adapts the depth of explanation to your question, covering system structure and patterns or detailed function logic.
Automated code explanation should not be used for debugging when you need to fix runtime errors rather than understand purpose. It focuses on explaining non-obvious behavior and architecture, not generating patches.
Reviewing tests helps explain a feature's purpose because tests encode expected behavior and data flow. Examining them alongside code and documentation clarifies the business logic and non-obvious behavior.
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