Skip to content
TrustedSkillsbeta
Back to all skills

Fastapi

Listed
srbhr·vlatest·backend·Apache-2.0

FastAPI simplifies building modern APIs with Python, offering high performance and developer-friendly features for rapid backend development.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it resume-matcher, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add srbhr/resume-matcher --skill resume-matcher -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

srbhr

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. no SKILL.md in the repository Source recorded as srbhr/resume-matcher.
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

This FastAPI skill provides a high-performance backend interface for the srbhr/resume-matcher AI agent. It enables rapid deployment of resume analysis workflows by exposing optimized API endpoints for document processing and candidate evaluation.

When to use it

  • Deploying a production-grade resume screening service requiring low-latency responses.
  • Integrating an existing resume matching model into a custom web application or mobile backend.
  • Building scalable microservices that need automatic dependency injection and validation.
  • Prototyping AI-driven HR tools with minimal boilerplate code.

Key capabilities

  • Automatic OpenAPI documentation generation for seamless API discovery.
  • Built-in support for Pydantic models ensuring robust data validation.
  • Native async/await support for handling concurrent resume uploads efficiently.
  • Easy integration with standard Python web frameworks and database adapters.

Example prompts

  • "Deploy the resume matcher using FastAPI with a custom Docker container."
  • "Create an API endpoint that accepts PDF resumes and returns match scores."
  • "Integrate the srbhr/resume-matcher skill into my existing FastAPI project for candidate filtering."

Tips & gotchas

Ensure you have Python 3.8+ installed before initializing the environment, as older versions may lack required async features. While the framework handles validation automatically, complex resume parsing logic should be tested with diverse file formats to avoid runtime errors on edge cases like scanned images or corrupted PDFs.