next-feature

Orchestrate specialized AI agents to automate feature development from story selection to pull request.

Updated Dec 20, 2023
One-click install
npx skills add https://github.com/Hakiick/ChessGame --skill next-feature
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: next-feature
Source: https://github.com/Hakiick/ChessGame/tree/main/.claude/skills/next-feature
Command: npx skills add https://github.com/Hakiick/ChessGame --skill next-feature

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the entire process of developing a new feature, from selecting the next user story to closing the pull request and cleaning up.

Core Features & Use Cases

  • Automated Workflow: Manages the end-to-end feature development pipeline.
  • Agent Orchestration: Integrates and directs specialized agents for architecture, development, testing, and review.
  • Use Case: A developer can invoke this skill to automatically pick up the next prioritized user story, create a feature branch, implement the code with agent assistance, run tests, get it reviewed, and submit a pull request, all with minimal manual intervention.

Quick Start

Use the next-feature skill to automatically select and develop the next user story in the backlog.

Frequently Asked Questions about next-feature

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

FAQPage Schema
How do I automate the feature development lifecycle from story to pull request?

Automating the feature development lifecycle involves orchestrating AI agents to sequentially manage user story selection, branch creation, code implementation, testing, review, and pull request generation. This ensures efficient software delivery with minimal manual intervention.

Can I use AI agent orchestration for my GitHub development workflow?

Yes, AI agent orchestration can direct specialized agents for architecture, development, testing, and review within your GitHub development workflow. It manages the end-to-end pipeline from picking the next user story to closing the pull request and cleaning up.

What is the best way to implement automated CI/CD feature development pipelines?

Automated CI/CD feature development pipelines are best implemented by orchestrating specialized AI agents that follow a defined sequential workflow. This approach manages everything from feature branch creation and code implementation to testing and automated pull request generation.

Does automated feature development work with my existing user story backlog?

Automated feature development works with your existing user story backlog by automatically selecting the next prioritized user story. It then creates a feature branch and implements the code with agent assistance, integrating seamlessly into your current development workflow.

How do I set up a Git branch creation and code review workflow with AI agents?

Setting up a Git branch creation and code review workflow with AI agents requires a skill that orchestrates the sequential process of selecting user stories, creating branches, implementing code, running tests, getting reviews, and submitting pull requests.