ai-factory.feature

Create Git branches, plan tasks, and implement code changes for features.

6|Updated Jul 4, 2025
One-click install
npx skills add https://github.com/diarworld/timesheeter --skill ai-factory-feature-diarworld
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-factory.feature
Source: https://github.com/diarworld/timesheeter/tree/main/.opencode/skills/feature
Command: npx skills add https://github.com/diarworld/timesheeter --skill ai-factory-feature-diarworld

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the entire feature development lifecycle, from initial branching to implementation, reducing manual steps and context switching for developers.

Core Features & Use Cases

  • Automated Branching: Creates descriptive Git branches based on feature descriptions.
  • Intelligent Planning: Generates a task plan using /ai-factory.task with context about testing and logging preferences.
  • Autonomous Implementation: Executes the plan using /ai-factory.implement, especially in parallel worktree mode.
  • Use Case: When you need to add a new user authentication system, this Skill handles creating the branch, planning the implementation steps, and can even execute the code changes autonomously in a separate worktree.

Quick Start

Start a new feature by describing it, and the skill will handle the rest.

Frequently Asked Questions about ai-factory.feature

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

FAQPage Schema
How do I automate feature development from branching to implementation?

To automate feature development, this Skill creates Git branches, generates task plans, and executes code changes. It manages the entire workflow autonomously, reducing manual steps and context switching.

What is the best way to manage parallel feature development with Git worktrees?

Managing parallel feature development is best handled using Git worktrees. This Skill supports parallel development through worktrees, allowing autonomous execution of code changes in isolated environments.

Can I configure testing and logging preferences for automated feature implementation?

Yes, you can configure testing and logging preferences for automated feature implementation. The Skill handles feature, fix, and refactor types with configurable testing, logging, and documentation updates.

Does this feature development workflow support bug fixes and code refactoring?

Yes, the feature development workflow supports bug fixes and code refactoring. It handles feature, fix, and refactor types, creating Git branches and planning implementation tasks for each specific change type.

How do I start a new feature workflow using Git branching and task planning?

To start a new feature workflow, describe the feature you want to build. The Skill automatically creates a descriptive Git branch, plans implementation tasks, and executes the code changes autonomously.

When should I not use autonomous code execution for feature development?

You should avoid autonomous code execution when manual oversight of code changes is required. While it supports parallel worktree mode and intelligent planning, complex architectural changes may need direct developer intervention.