engineering-principles

GPT-RAG UI architecture and implementation principles. Use for design, review, meaningful refactoring, Python, Chainlit, Azure integration, security, accessibility, testing, or operational changes.

Jump to install

Repository: Azure/gpt-rag-ui
Last source activity: July 25, 2026 at 19:45
Detected SKILL.md language: English
Stars: 10
Forks: 38

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/Azure/gpt-rag-ui --skill engineering-principles

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer

7 files

SKILL.md

Source instructions · Read-only preview

Back to search Back to installation

release

Prepare and reconcile gpt-rag-ui releases. Use for release preparation, release branches, semantic versioning, VERSION or changelog updates, release notes, tags, GitHub Releases, packages, container images, or deployment publication; require explicit human approval before publishing anything.

2026-08-05

architecture-decision

Conducts and records a verifiable GPT-RAG UI architectural decision. Use when a choice alters boundaries, contracts, identity, sessions, persistence, accessibility, deployment, or operation with meaningful reversal cost.

2026-07-25

component-release

Prepares a verifiable GPT-RAG UI release. Use for release branches, VERSION, changelog entries, tags, release notes, and compatibility evidence; never publish without explicit human approval.

2026-07-25

View all from this repository

name	engineering-principles
description	GPT-RAG UI architecture and implementation principles. Use for design, review, meaningful refactoring, Python, Chainlit, Azure integration, security, accessibility, testing, or operational changes.

GPT-RAG UI engineering principles

Load only the references needed for the task:

When the task involves	Read
Repository purpose, modules, boundaries, or Chainlit composition	UI architecture
Entra, embedding, sessions, origins, secrets, uploads, or downloads	Authentication and security
Themes, CSS, frontend assets, interaction, or responsive behavior	Frontend accessibility
Python clarity, async behavior, contracts, or error handling	Python quality
Tests, validation, compatibility, or completion evidence	Testing and evidence
App Configuration, Azure clients, deployment, telemetry, or recovery	Cloud and operations

Use these principles as design questions rather than dogma. Task requirements, executable configuration, backend contracts, security invariants, and current implementation remain the sources of truth.

engineering-principles

Source facts

Install options

Review the source files

More from this repository

GPT-RAG UI engineering principles

More from this repository

GPT-RAG UI engineering principles