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image-processor-guidelines

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Guidelines for robust FastAPI image processing.

Software Engineering#fastapi#logging#validation#guidelines#api-integration#mediapipe
AuthorZeroGravitySkin-Ron
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a concise, actionable blueprint for developing and validating a Python FastAPI image processing microservice, covering integration with Perfect Corp API, MediaPipe FaceMesh validation, and robust error handling.

Core Features & Use Cases

  • FastAPI patterns: recommended structure, dependencies, middleware.
  • MediaPipe FaceMesh validation: guidance for integration and validation.
  • Perfect Corp API integration: best practices, mock mode, and error handling.
  • Structured logging & tracing: guidelines for correlating requests.

Quick Start

Review the guidelines and apply them to your project setup:

  • Ensure routes under /v1 are versioned and have proper dependencies.
  • Implement correlation headers (X-Request-Id, X-Analysis-Session, X-Frame-Seq).
  • Use structured logging with request IDs.
  • Configure mock mode for testing and a real mode for production.
  • Validate access control with CIDR and X-Internal-Secret.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: image-processor-guidelines
Download link: https://github.com/ZeroGravitySkin-Ron/Claude/archive/main.zip#image-processor-guidelines

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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