project-analyze

Clone external repositories, run vx-project-analyzer, and evaluate results.

32|5|Updated Jun 9, 2025
One-click install
npx skills add https://github.com/loonghao/vx --skill project-analyze-loonghao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-analyze
Source: https://github.com/loonghao/vx/tree/main/.codebuddy/skills/project-analyze
Command: npx skills add https://github.com/loonghao/vx --skill project-analyze-loonghao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the process of analyzing external code projects to test and validate the vx-project-analyzer crate, streamlining the discovery of issues and iteration on fixes.

Core Features & Use Cases

  • Project Discovery: Finds and clones specified open-source projects.
  • Automated Analysis: Runs the vx-project-analyzer against cloned projects.
  • Issue Identification: Helps in evaluating detected ecosystems, dependencies, scripts, and required tools.
  • Iterative Fixing: Supports a workflow for fixing identified issues and re-analyzing.
  • Use Case: When developing the vx-project-analyzer, you can use this skill to automatically clone popular GitHub repositories like vercel/next.js or denoland/deno, run the analyzer, identify any parsing errors, fix the analyzer code, and re-run the analysis until it correctly identifies all languages, dependencies, and scripts.

Quick Start

Use the project-analyze skill to analyze the 'deno' project from GitHub.

Frequently Asked Questions about project-analyze

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

FAQPage Schema
How do I automate cloning and analyzing external code projects?

To automate code analysis, this skill clones specified open-source repositories, executes the analyzer against the codebase, and evaluates results for ecosystems, dependencies, and scripts, streamlining iterative fixing workflows.

What is the best way to test a project analyzer against real GitHub repositories?

Testing an analyzer against real repositories is done by systematically cloning projects like deno or next.js, running the analysis tool, identifying parsing errors, and re-running the evaluation until it correctly detects all required tools and dependencies.

Does the automated code analysis workflow support both Windows and Unix environments?

Yes, the automated code analysis workflow supports both Windows and Unix environments, utilizing shell scripts to handle repository cloning and analysis execution across different operating systems without requiring environment-specific modifications.

How do I identify parsing errors when evaluating project dependencies and scripts?

To identify parsing errors during project evaluation, the skill runs the analyzer to detect ecosystems, dependencies, scripts, and required tools, highlighting discrepancies that indicate parsing issues for subsequent iterative fixing.

Can I use this to automatically discover required tools and ecosystems in cloned repositories?

Yes, you can use this skill to automatically discover required tools, ecosystems, and dependencies by cloning target repositories and executing the analyzer to evaluate the detected project structure and script configurations.

What are the limitations of using shell scripts for repository cloning and analysis execution?

The primary limitation is dependency on shell scripts for cloning and analysis execution, which requires appropriate shell environments on Windows and Unix systems to properly parse dependencies and execute the automated evaluation workflow.