t1d-api-ingestion-scout

Trace API endpoints to backend data ingestion logic in T1D Companion.

Updated May 15, 2026
One-click install
npx skills add https://github.com/ruskibeats/t1d --skill t1d-api-ingestion-scout
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: t1d-api-ingestion-scout
Source: https://github.com/ruskibeats/t1d/tree/main/.pi/skills-archive/t1d-api-ingestion-scout
Command: npx skills add https://github.com/ruskibeats/t1d --skill t1d-api-ingestion-scout

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Navigating the complexity of mapping API endpoints to data ingestion in the T1D Companion.

Core Features & Use Cases

  • API Endpoint Analysis: Track API endpoints to corresponding health data processing.
  • Service Mapping: Trace the handler function in the API to service logic within app/services/.
  • Data Flow Visualization: Identify and validate the data source and persistence logic.

Quick Start

Use the t1d-api-ingestion-scout skill to trace the API endpoint for retrieving glucose data.

Frequently Asked Questions about t1d-api-ingestion-scout

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace API endpoint mapping to backend data ingestion logic?

To trace API endpoint mapping to backend data ingestion logic, you track the API endpoint to its handler function and then trace it to the service logic within the application's services directory to understand data handling.

How does data flow from API endpoints to health data processing services?

Data flows from API endpoints to health data processing by routing through handler functions that map directly to underlying service logic, allowing you to identify and validate the data source and persistence logic.

What do I need to know to map API routing to service architecture for data ingestion?

Mapping API routing to service architecture for data ingestion requires a basic understanding of API routing, service architecture, and data flow to successfully navigate the intricacies of data handling.

What is the best way to visualize data flow between API endpoints and service logic?

The best way to visualize data flow between API endpoints and service logic is to trace the handler function in the API to its corresponding service logic, identifying data sources and validating persistence logic.

Why does tracing API ingestion logic for health data require checking the services directory?

Tracing API ingestion logic requires checking the services directory because the handler function in the API maps directly to the service logic contained within it, completing the data flow visualization.