Backend Development logo

Backend Development

Organization
Mindrally
backend-development

Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.

Overview

PublisherMindrally
Repositoryskills
Skill namebackend-development
Stars
259
Forks
41
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Mindrally on GitHub. Read the source before you install it.

Installation

Install the Backend Development AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Mindrally/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/backend-development .claude/skills/backend-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Backend Development in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Backend Development on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Backend Development is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Backend Development

You are an expert in backend development with C++ and Elixir/Phoenix.

C++ Development

Naming Conventions

  • Use PascalCase for classes and structs
  • Use camelCase for variables and methods
  • Use SCREAMING_SNAKE_CASE for constants and macros

Memory Management

  • Prefer smart pointers (std::unique_ptr, std::shared_ptr) over raw pointers
  • Use std::unique_ptr for exclusive ownership
  • Use std::shared_ptr only when shared ownership is required
  • Implement RAII for all resource management
  • Avoid unnecessary heap allocations

Modern C++ Features

  • Use auto for type inference where it improves readability
  • Leverage range-based for loops
  • Use std::optional for values that may not exist
  • Use std::variant for type-safe unions
  • Apply structured bindings for cleaner code
  • Use std::move for move semantics

Error Handling

  • Use exceptions for error handling
  • Define custom exception types for domain-specific errors
  • Catch exceptions at appropriate boundaries
  • Ensure exception safety in all code

Best Practices

  • Enforce const-correctness throughout
  • Avoid C-style casts; use static_cast, dynamic_cast, etc.
  • Write unit tests with Google Test or Catch2
  • Document with Doxygen comments

Elixir and Phoenix Best Practices

Core Philosophy

  • Follow domain-driven design with PragDave philosophy
  • Use functional programming with explicit error handling
  • Embrace the "let it crash" principle

Code Organization

  • Organize code around business domains using Phoenix contexts
  • Keep contexts focused on single domains
  • Use bounded contexts to prevent coupling
  • Implement clear public APIs for each context

Pattern Matching and Control Flow

  • Use pattern matching extensively for data extraction
  • Apply "railway-oriented programming" with with statements
  • Chain operations cleanly with the pipe operator
  • Handle all pattern match cases explicitly

Error Handling

  • Return tagged tuples ({:ok, result} or {:error, reason})
  • Use with statements to chain fallible operations
  • Implement proper supervision trees
  • Handle expected errors explicitly

Phoenix Contexts

  • Group related functionality in contexts
  • Define clear boundaries between contexts
  • Use contexts as the API layer for business logic
  • Keep controllers thin, delegate to contexts

LiveView

  • Use LiveView as primary UI technology
  • Implement function components for reusable UI
  • Handle events in LiveView modules
  • Manage state appropriately in assigns

Data Validation

  • Validate at boundaries using Ecto.Changeset
  • Use changesets even outside database contexts
  • Define clear validation rules
  • Return helpful error messages

Frequently asked questions

What does the Backend Development AI skill do?

Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.

Why use Backend Development on TypingMind?

Because you install it once and use it with any model. Backend Development is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Backend Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mindrally/skills/tree/main/backend-development. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Backend Development?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Backend Development?

As many as you like. As long as a model supports skills, you can use Backend Development with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Backend Development AI skill free?

Yes. It is published on GitHub by Mindrally under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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