agentlens

Generate hierarchical documentation for codebase exploration and symbol localization.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/dfpalhano/openclaw-workspace --skill agentlens
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentlens
Source: https://github.com/dfpalhano/openclaw-workspace/tree/main/skills/agentlens
Command: npx skills add https://github.com/dfpalhano/openclaw-workspace --skill agentlens

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers understand and navigate complex codebases efficiently by leveraging AI-generated hierarchical documentation, reducing the time spent searching for information.

Core Features & Use Cases

  • Codebase Exploration: Understand project structure, modules, and file relationships.
  • Symbol Location: Quickly find functions, classes, and other symbols within large files.
  • Issue Identification: Discover TODOs, warnings, and critical rules before modifying code.
  • Use Case: When onboarding to a new project, use AgentLens to get a high-level overview and then drill down into specific modules to understand their purpose and identify key files.

Quick Start

Use the agentlens skill to find the definition of the 'User' class within the 'authentication' module.

Frequently Asked Questions about agentlens

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

FAQPage Schema
How do I navigate a complex codebase and understand its structure?

Codebase exploration uses AI-generated hierarchical documentation like INDEX.md and outline.md files to map project structure, reducing time spent searching for file relationships and module purposes.

What is the best way to locate specific functions and classes within large files?

Symbol lookup for large files is handled by querying structured documentation, allowing you to quickly find functions, classes, and other symbols without manually scrolling through extensive code.

How does AI documentation help with onboarding to a new project?

AI documentation streamlines onboarding by providing a high-level project overview that lets you drill down into specific modules to understand their purpose and identify key files immediately.

Can I find TODOs and code warnings before modifying a module?

Yes, issue identification detects TODOs, warnings, and critical rules before modifying code by analyzing the hierarchical structure and mapping out existing technical debt.

Do I need any specific dependencies to generate AI documentation for my project?

No dependencies are required to generate AI documentation, as the Skill operates independently to produce structured outputs like memory.md files for efficient codebase exploration.