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Fastapi Reviewer

Listed
physics91·vlatest·backend

This FastAPI reviewer analyzes your code for potential issues and best practices, boosting development speed and application quality.

Install on your platform

This skill no longer installs under the name fastapi-reviewer. physics91/claude-vibe is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

physics91

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. repository not found or private Source recorded as physics91/claude-vibe.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The fastapi-reviewer skill provides automated review and feedback on FastAPI applications. It can analyze code for common errors, adherence to best practices, and potential performance bottlenecks. This skill aims to streamline the development process by identifying issues early and offering actionable suggestions for improvement.

When to use it

  • Code Review: When you need a quick initial assessment of a FastAPI application's codebase before human review.
  • Learning & Education: To understand how experienced developers structure and maintain FastAPI projects.
  • Automated CI/CD Pipelines: Integrate into your continuous integration pipeline to enforce code quality standards automatically.
  • Performance Optimization: Identify potential performance bottlenecks within a FastAPI application.

Key capabilities

  • FastAPI Code Analysis
  • Error Detection
  • Best Practices Adherence Checks
  • Performance Bottleneck Identification

Example prompts

  • "Review this FastAPI code for common errors and suggest improvements: [paste code]"
  • "Analyze this FastAPI application's structure and identify potential performance bottlenecks."
  • "Check this FastAPI endpoint for adherence to best practices regarding security and data validation."

Tips & gotchas

The skill’s effectiveness depends on the quality of the provided code. Ensure the code is well-formatted and complete for accurate analysis.