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afya-sahihi-implementation

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Codified guardrails for critical backend AI.

Software Engineering#security#backend#observability#type-safety#code-review#clinical-ai
AuthorAmosBunde
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides a single source of truth for implementing and reviewing critical Afya Sahihi backend components (backend, retrieval, conformal, ingestion, and orchestration), ensuring deterministic patterns, safety, and observability.

Core Features & Use Cases

  • Enforces non-negotiables such as fail-closed error handling, no LangChain on the request path, explicit timeouts, and structured logging.
  • Guides project structure and best practices for production-grade Python services with strict typing and observable behavior.
  • Use Case: A new service touching the inference pipeline can be implemented following this playbook to guarantee code quality, testing discipline, and auditable decisions.

Quick Start

Load this skill when implementing or reviewing the critical Afya Sahihi backend paths to ensure coding standards and guardrails.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: afya-sahihi-implementation
Download link: https://github.com/AmosBunde/Afya-Sahihi/archive/main.zip#afya-sahihi-implementation

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