What is the purpose of the /init-deep command?

It generates structured AGENTS.md files at the project root and in key subdirectories to help Claude understand the codebase structure, conventions, and rules.

Does it overwrite my existing documentation?

By default, it runs in update mode to modify existing files. The --create-new flag can be used to regenerate from scratch, though it still reads existing files first to preserve important context.

How does the skill decide where to create documentation files?

It uses a scoring matrix that evaluates directory depth, file count, code-to-comment ratios, and symbol density to identify where AI agents need the most guidance.

Why does it spawn multiple background agents?

It uses parallel sub-agents to concurrently analyze different aspects of the project, such as CI/CD workflows, test patterns, and entry points, to speed up the discovery phase.

Init Deep Documentation

Name: Init Deep Documentation
Author: UtsavBalar1231

byUtsavBalar1231

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Learning & Documentation

Generates hierarchical AGENTS.md files to provide Claude with deep architectural context and project-specific guidance.

Init Deep is a sophisticated documentation skill designed to solve the context gap in large codebases by generating multi-layered AGENTS.md files. It utilizes a concurrent discovery process where multiple sub-agents analyze project structure, build patterns, and coding conventions simultaneously. Using a weighted scoring matrix based on file density, symbol complexity, and module boundaries, it determines the most critical directories for documentation. This ensures that Claude Code has a precise roadmap of the project, including non-standard conventions and explicitly forbidden anti-patterns, facilitating more accurate code generation and navigation.

Key Features

01Smart update mode that preserves existing context while regenerating insights

02Automated scoring matrix to identify critical documentation hotspots

03Hierarchical AGENTS.md generation for root and high-complexity subdirectories

04Extraction of project-specific anti-patterns and unique coding conventions

051 GitHub stars

06Concurrent project discovery using specialized background sub-agents

Use Cases

01Capturing and enforcing architectural boundaries and anti-patterns automatically

02Standardizing project-specific knowledge bases for multi-agent orchestration

03Onboarding Claude Code to large, legacy repositories with complex folder structures

Key Features

01Smart update mode that preserves existing context while regenerating insights

02Automated scoring matrix to identify critical documentation hotspots

03Hierarchical AGENTS.md generation for root and high-complexity subdirectories

04Extraction of project-specific anti-patterns and unique coding conventions

051 GitHub stars

06Concurrent project discovery using specialized background sub-agents

Use Cases

01Capturing and enforcing architectural boundaries and anti-patterns automatically

02Standardizing project-specific knowledge bases for multi-agent orchestration

03Onboarding Claude Code to large, legacy repositories with complex folder structures