code-explorer

Analyzes existing feature implementations by tracing execution paths and mapping architecture layers.

Updated Apr 4, 2026
One-click install
npx skills add https://github.com/juanjo-zurich/juarvis-v4 --skill code-explorer-juanjo-zurich
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-explorer
Source: https://github.com/juanjo-zurich/juarvis-v4/tree/main/plugins/feature-dev/skills/code-explorer
Command: npx skills add https://github.com/juanjo-zurich/juarvis-v4 --skill code-explorer-juanjo-zurich

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Before modifying or extending an existing feature, developers need to understand how it actually works across the codebase. This Skill performs deep analysis of feature implementations, tracing execution from entry points to data storage so you can make informed changes without breaking existing behavior. ## Core Features & Use Cases - Execution Flow Tracing: Follows call chains from entry points (APIs, UI components, CLI commands) through every abstraction layer to data storage, documenting data transformations at each step. - Architecture Mapping: Identifies design patterns, layer boundaries, component interfaces, and cross-cutting concerns like authentication, logging, and caching. - Dependency Documentation: Catalogs internal and external dependencies, error handling, edge cases, and technical debt with precise file:line references. - Use Case: Before adding a new payment method to a checkout flow, use this Skill to trace the existing payment implementation end-to-end, understand its abstractions, and identify exactly which files need modification. ## Quick Start Ask the AI to explore and explain how a specific feature in your codebase works, including its execution flow, architecture, and key files.

Frequently Asked Questions about code-explorer

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

FAQPage Schema
How do I understand an unfamiliar codebase feature before modifying it?▼

Trace the feature from its entry points (APIs, UI components, CLI commands) through each layer to data storage. Document call chains, data transformations, and dependencies with file:line references so you can modify the code safely.

How to trace execution flow across multiple architecture layers?▼

Start at the entry point and follow call chains through presentation, business logic, and data layers. Record data transformations, state changes, and side effects at each step to build a complete execution map.

What should a code exploration report include?▼

Include entry points with file:line references, step-by-step execution flow, key components and responsibilities, architecture patterns and layers, internal and external dependencies, and observations on strengths, issues, and technical debt.

When should I use code exploration instead of just reading files?▼

Use structured exploration when a feature spans multiple layers or files and you need to modify or extend it. Ad-hoc reading works for isolated functions, but tracing reveals hidden dependencies and cross-cutting concerns like auth and caching.

Does code exploration work for any programming language or framework?▼

Yes, the analysis approach is language-agnostic since it focuses on call chains, abstraction layers, and design patterns rather than specific syntax. It applies to any codebase with identifiable entry points and layered architecture.