Does this skill help with technical debt?

Yes, one of its core responsibilities is to identify and note technical debt, architectural concerns, or inconsistencies within the codebase during the exploration process.

How long does the exploration process take?

Codebase Explorer is optimized for speed, with a target time budget of 5-6 minutes. If it exceeds this time, it provides partial findings and asks for further instruction.

How does Codebase Explorer find similar features?

The skill uses a multi-phase approach involving keyword searches via Grep and file pattern matching via Glob to locate logic, UI components, and API endpoints similar to your target feature.

Is Codebase Explorer compatible with different programming languages?

Yes, because it relies on pattern matching, keyword searching, and directory mapping, it is language-agnostic and works across various technology stacks.

Codebase Explorer

Name: Codebase Explorer
Author: violetio

byvioletio

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Herramientas para Desarrolladores

Analyzes and maps existing codebases to identify patterns, dependencies, and architectural constraints for new feature development.

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Codebase Explorer is a specialized skill for Claude Code designed to accelerate the technical discovery phase of software development. It systematically scans your repository to locate similar features, map technical dependencies, and identify established architectural patterns, ensuring that new code aligns with existing standards while avoiding technical debt. By providing structured insights into UI components, API endpoints, and data models within a strict five-minute window, it allows developers to understand complex systems and plan implementations with greater confidence and speed.

Características Principales

1 GitHub stars
Similarity Mapping: Finds related UI components, API endpoints, and workflows across the repository.
Constraint Identification: Surfaces technical debt, fixed technology choices, and performance requirements.
Citated Reporting: Generates detailed Markdown summaries with specific file and line number references.
Pattern Discovery: Automatically identifies existing architectural patterns and coding standards.
Dependency Tracking: Maps internal and external dependencies including shared utilities and services.

Casos de Uso

Impact Analysis: Identifying which components and services will be affected by a proposed change.
Technical Discovery: Quickly understanding the landscape of a new repository before writing code.
Architectural Alignment: Ensuring a new feature follows the established design patterns of the existing codebase.

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Características Principales

1 GitHub stars
Similarity Mapping: Finds related UI components, API endpoints, and workflows across the repository.
Constraint Identification: Surfaces technical debt, fixed technology choices, and performance requirements.
Citated Reporting: Generates detailed Markdown summaries with specific file and line number references.
Pattern Discovery: Automatically identifies existing architectural patterns and coding standards.
Dependency Tracking: Maps internal and external dependencies including shared utilities and services.

Casos de Uso

Impact Analysis: Identifying which components and services will be affected by a proposed change.
Technical Discovery: Quickly understanding the landscape of a new repository before writing code.
Architectural Alignment: Ensuring a new feature follows the established design patterns of the existing codebase.