episteme-graph-dev

Develop Episteme Graph backend APIs, database migrations, and PDF analysis agents.

1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/dx-junkyard/episteme-graph --skill episteme-graph-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: episteme-graph-dev
Source: https://github.com/dx-junkyard/episteme-graph/tree/main/.claude/skills/episteme-graph-dev
Command: npx skills add https://github.com/dx-junkyard/episteme-graph --skill episteme-graph-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the development, maintenance, and extension of the Episteme Graph system, ensuring architectural consistency and adherence to strict backend and frontend coding standards.

Core Features & Use Cases

  • Backend API & Database Management: Provides guidance on FastAPI routing, SQLAlchemy ORM models, and PostgreSQL schema migrations.
  • Agent Pipeline Development: Supports the creation and integration of specialized PDF analysis agents.
  • Use Case: When adding a new API endpoint or modifying a database schema, this skill ensures the implementation follows the required flat-router structure and uses the correct configuration and authentication dependencies.

Quick Start

Use the episteme-graph-dev skill to implement a new API endpoint for course management following the existing router structure.

Frequently Asked Questions about episteme-graph-dev

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

FAQPage Schema
How do I create a FastAPI endpoint and manage PostgreSQL schema migrations for a knowledge graph?

To create a FastAPI endpoint and manage PostgreSQL schema migrations, you need to follow a flat-router structure and use SQLAlchemy ORM models. This ensures your knowledge graph backend maintains architectural consistency and correct configuration dependencies.

What is the best way to implement specialized PDF analysis agents in a RAG backend?

Implementing specialized PDF analysis agents in a RAG backend involves creating an agent pipeline that integrates directly with your existing API architecture. This ensures the PDF analysis pipeline adheres to established coding standards and LLM abstraction logic.

Can I use this approach to maintain secure authorization logic across my FastAPI backend?

Yes, you can maintain secure authorization logic across your FastAPI backend. It provides specific guidance on implementing secure dependencies and configuration management to ensure your API endpoints are protected and comply with established standards.

How do I structure FastAPI routing and SQLAlchemy ORM models for full-stack development?

Structuring FastAPI routing and SQLAlchemy ORM models requires adhering to a flat-router structure. This enforces strict backend and frontend coding standards, ensuring your full-stack development maintains architectural consistency across the entire system.

Does this development workflow support LLM abstraction and configuration management for backend APIs?

Yes, this development workflow supports LLM abstraction and configuration management for backend APIs. It ensures compliance with established coding standards, guiding the implementation of secure authorization logic and specialized agent pipelines.