Backend Development Feature Development

Community

Dokhacgiakhoa

backend-development-feature-development

Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.

Overview

Publisher	Dokhacgiakhoa
Repository	`Agent-Skills-4-Vibe-Coding-CLI`
Skill name	`backend-development-feature-development`
Stars	511
Forks	145
Bundled files	5
Links	Skill source Repository Homepage

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Dokhacgiakhoa on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI/tree/main/.agent/skills/backend-development-feature-development
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI/tree/main/.agent/skills/backend-development-feature-development

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI.git /tmp/Agent-Skills-4-Vibe-Coding-CLI
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills-4-Vibe-Coding-CLI/.agent/skills/backend-development-feature-development .claude/skills/backend-development-feature-development

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Backend Development Feature 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 Feature 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 Feature 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.

Orchestrate end-to-end feature development from requirements to production deployment:

[Extended thinking: This workflow orchestrates specialized agents through comprehensive feature development phases - from discovery and planning through implementation, testing, and deployment. Each phase builds on previous outputs, ensuring coherent feature delivery. The workflow supports multiple development methodologies (traditional, TDD/BDD, DDD), feature complexity levels, and modern deployment strategies including feature flags, gradual rollouts, and observability-first development. Agents receive detailed context from previous phases to maintain consistency and quality throughout the development lifecycle.]

Use this skill when

Coordinating end-to-end feature delivery across backend, frontend, and data
Managing requirements, architecture, implementation, testing, and rollout
Planning multi-service changes with deployment and monitoring needs
Aligning teams on scope, risks, and success metrics

Do not use this skill when

The task is a small, isolated backend change or bug fix
You only need a single specialist task, not a full workflow
There is no deployment or cross-team coordination involved

Instructions

Confirm feature scope, success metrics, and constraints.
Select a methodology and define phase outputs.
Orchestrate implementation, testing, and security validation.
Prepare rollout, monitoring, and documentation plans.

Safety

Avoid production changes without approvals and rollback plans.
Validate data migrations and feature flags in staging first.

Configuration Options

🧠 Knowledge Modules (Fractal Skills)

1. Development Methodology

2. Feature Complexity

3. Deployment Strategy

4. Required Parameters

5. Optional Parameters

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Backend Development Feature Development AI skill do?

Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.

Why use Backend Development Feature Development on TypingMind?

Because you install it once and use it with any model. Backend Development Feature 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 Feature Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI/tree/main/.agent/skills/backend-development-feature-development. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Backend Development Feature 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 Feature Development?

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

Is the Backend Development Feature Development AI skill free?

It is published on GitHub by Dokhacgiakhoa. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Use this skill when

Do not use this skill when

Instructions

Safety

Configuration Options

🧠 Knowledge Modules (Fractal Skills)

1. Development Methodology

2. Feature Complexity

3. Deployment Strategy

4. Required Parameters

5. Optional Parameters

Bundled files

Frequently asked questions

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