How does it differentiate between a feature and a refactor?

The skill analyzes user intent: features focus on adding new capabilities, while refactors focus on improving code quality and structure without changing existing behavior.

Can I use this skill for bug fixes that require new tests?

Absolutely. The Bug Fix workflow specifically emphasizes reproduction and regression testing phases to ensure the defect is permanently resolved.

When should I use the Workflow Selection skill?

Use this skill whenever task requirements are ambiguous, or when you need a structured strategy to decide between a quick fix and a deep architectural change.

Does this skill help with model cost optimization?

Yes, it provides a Model Strategy for each workflow, recommending faster models like Haiku for simple discovery and more powerful models like Opus for complex quality reviews.

DevLoop Workflow Selection

Name: DevLoop Workflow Selection
Author: Zate

byZate

生産性とワークフロー

Guides developers in selecting the most efficient development workflow and model strategy based on task requirements.

概要

The DevLoop Workflow Selection skill acts as an intelligent routing mechanism for AI-assisted development, helping users determine whether a task requires a full architectural feature workflow, a streamlined bug-fix cycle, or a validation-heavy refactoring approach. By analyzing task characteristics and keyword indicators, it provides a structured decision tree that optimizes the development process, recommends the best Claude model for each specific phase (Haiku, Sonnet, or Opus), and ensures that critical steps like regression testing or architectural design are never overlooked.

主な機能

Automated model strategy recommendations tailored for each development phase
Strategic decision tree logic to resolve ambiguous project requirements
Intelligent task classification into Feature, Bug Fix, Refactor, or QA workflows
Streamlined 5-phase or full 7-phase workflow suggestions based on task complexity
0 GitHub stars
Mixed-task handling for complex scenarios involving both fixes and new features

ユースケース

Determining the optimal phase-by-phase approach for complex feature implementations
Optimizing resource usage by selecting the most efficient AI model for specific coding tasks
Standardizing the development lifecycle for teams using Claude Code for software engineering

概要

主な機能

Automated model strategy recommendations tailored for each development phase
Strategic decision tree logic to resolve ambiguous project requirements
Intelligent task classification into Feature, Bug Fix, Refactor, or QA workflows
Streamlined 5-phase or full 7-phase workflow suggestions based on task complexity
0 GitHub stars
Mixed-task handling for complex scenarios involving both fixes and new features

ユースケース

Determining the optimal phase-by-phase approach for complex feature implementations
Optimizing resource usage by selecting the most efficient AI model for specific coding tasks
Standardizing the development lifecycle for teams using Claude Code for software engineering