Does it distinguish between active and legacy code?

Yes, the skill references a retired infrastructure inventory to ensure you are working with active components and not accidentally modifying archived systems.

Can this skill handle large monorepos?

Yes, it is specifically designed to load and parse complex directory trees to help you navigate and locate components within large-scale projects.

What documentation does this skill rely on?

The skill primarily leverages the project's directory structure documentation, specifically looking for docs/DIRECTORY_STRUCTURE.md to build its context.

How does this skill help with database management?

It provides Claude with immediate access to SQLite and PostgreSQL schemas, enabling it to write accurate queries and understand data relationships without manual file searching.

Directory & Data Layout Explorer

Name: Directory & Data Layout Explorer
Author: jonschull

byjonschull

0•

Gestión de Bases de Datos

Navigates complex monorepo structures and data schemas to provide instant context for development and database management.

The Directory & Data Layout skill empowers Claude to master the internal architecture of the ERA Admin monorepo by loading comprehensive directory trees, database schemas (SQLite and PostgreSQL), and infrastructure inventories. It is designed to help developers navigate multi-integration codebases involving Airtable, FathomInventory, and Landscape, ensuring they can find files quickly and understand data flows. By referencing the retired infrastructure inventory, the skill also assists in distinguishing between active components and archived legacy code, maintaining architectural integrity during updates.

Características Principales

01Full directory tree visualization for monorepos

02Direct integration with directory documentation

03Data flow mapping across multiple integrations

040 GitHub stars

05Comprehensive database schema reference (SQLite & PostgreSQL)

06Infrastructure inventory tracking (active vs. archived)

Casos de Uso

01Debugging cross-platform data flow issues by referencing unified schemas.

02Onboarding to a complex monorepo with multiple third-party data integrations.

03Identifying and cleaning up retired infrastructure or orphaned files.

Características Principales

01Full directory tree visualization for monorepos

02Direct integration with directory documentation

03Data flow mapping across multiple integrations

040 GitHub stars

05Comprehensive database schema reference (SQLite & PostgreSQL)

06Infrastructure inventory tracking (active vs. archived)

Casos de Uso

01Debugging cross-platform data flow issues by referencing unified schemas.

02Onboarding to a complex monorepo with multiple third-party data integrations.

03Identifying and cleaning up retired infrastructure or orphaned files.