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Project Analyzer

Listed
oimiragieo·vlatest·backend

Analyzes project data to identify risks, bottlenecks, and potential improvements for enhanced efficiency and successful outcomes.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add oimiragieo/agent-studio --skill project-analyzer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

oimiragieo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 73 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as oimiragieo/agent-studio.
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About this skill

What it does

The Project Analyzer skill helps AI agents understand and classify software projects based on their manifest files and directory structure. It identifies project roots by searching for common package manager files (like package.json, requirements.txt, etc.) and then determines the project type – frontend, backend, fullstack, library/package, CLI, or mobile – based on dependencies and file organization. This analysis provides a foundation for further automated tasks related to code understanding and management.

When to use it

  • Automated Code Analysis: To automatically categorize projects for vulnerability scanning or code quality checks.
  • Project Onboarding: Quickly identify the technology stack used in a new project during onboarding processes.
  • Dependency Management: Understand the project type to suggest appropriate dependency updates or tooling.
  • Monorepo Navigation: Help navigate and understand complex monorepos with multiple projects.
  • Framework Identification: Determine which frameworks (e.g., React, Vue, Express) are being used in a codebase.

Key capabilities

  • Project Root Detection: Locates the root directory of a project by searching for manifest files.
  • Monorepo Handling: Detects and handles projects structured as monorepos.
  • Project Type Classification: Identifies whether a project is frontend, backend, fullstack, library/package, CLI, or mobile.
  • Framework Identification: Recognizes common frameworks used in each project type (e.g., Next.js, Django, React Native).
  • Manifest File Parsing: Parses various package manager files to extract relevant information.

Example prompts

  • "Analyze this directory and tell me what kind of project it is: /path/to/project"
  • "What frameworks are being used in this Node.js project?"
  • "Is this a monorepo? If so, how many package.json files does it contain?"

Tips & gotchas

  • The skill relies on the presence of standard manifest files to identify projects. Projects without these files may not be accurately analyzed.
  • Accuracy in project type detection depends on the clarity and consistency of the project's directory structure and dependencies.