An automated AI agent skill that scans local directories to generate comprehensive technical documentation and architectural overviews.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-project-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install code-project-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Code Project Analyzer is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between complex source code and human-readable documentation. It performs deep directory scans to identify the core technology stack, dependency chains, and entry points of any software project. By analyzing the structural relationships between files, it synthesizes a high-level overview of the project's purpose and implementation logic.
Whether you are dealing with a legacy codebase or exploring a new repository, this skill provides immediate clarity by generating standardized Markdown documentation. It is an essential utility for developers looking to maintain high standards of documentation with minimal manual effort through the power of Openclaw Skills.
To use this project analyzer from the Openclaw Skills collection, ensure your environment meets these requirements:
# Ensure you are in an environment where the agent can access your local path
# Example usage through the agent interface:
Analyze code directory /path/to/your/project
The skill processes project metadata and organizes it into a structured taxonomy for documentation generation:
| Data Point | Description |
|---|---|
| Tech Stack | Identifies languages (JS, TS, Python, Go, Java) and frameworks (Vue, React, Node). |
| Module Map | Categorizes directories based on their functional role (e.g., controllers, components, utils). |
| Core Logic | Extracts the primary purpose and implementation flow of the application. |
| Output Format | Standardized Markdown including sections for Features, Scenarios, and Principles. |
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