How does this skill handle existing codebase patterns?

The skill begins with a Context Discovery phase where it explores your project structure and tech stack to ensure new designs remain consistent with your existing conventions.

Can I choose between different implementation strategies?

Yes. In Phase 3, the assistant proposes 2-3 distinct approaches with detailed pros and cons, allowing you to select the one that best fits your constraints.

Does it help with the actual coding process?

Beyond design, it generates a granular implementation task list with file paths and priorities, which can be immediately used for execution in your development session.

What kind of documentation does it generate?

It creates a standardized Markdown design document (saved to docs/designs/) covering requirements, architecture, data models, and API designs.

Feature Design Assistant

Name: Feature Design Assistant
Author: notedit

bynotedit

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229

Productivity & Workflow

Transforms abstract feature ideas into comprehensive technical specifications and implementation plans through collaborative discovery.

About

The Feature Design Assistant is a specialized Claude Code skill designed to bridge the gap between initial concepts and production-ready code. It guides users through a structured six-phase process—ranging from codebase context discovery and requirement gathering to architectural design and task generation. By using interactive questioning and multi-option approach exploration, it ensures that every new feature aligns with existing patterns while addressing security, scalability, and testing requirements before a single line of implementation begins.

Key Features

229 GitHub stars
Structured codebase discovery to identify existing patterns and conventions.
Interactive information gathering using batched, multi-choice user questions.
Hierarchical implementation task lists with priority, phase, and time estimates.
Comparative approach exploration with detailed pros, cons, and recommendations.
Automated generation of comprehensive design documents and architecture overviews.

Use Cases

Architecting significant codebase refactors or migrations with structured validation.
Planning complex new features that span multiple system layers like API, Data, and UI.
Generating standardized documentation and technical specs for team-wide alignment.

About

Key Features

229 GitHub stars
Structured codebase discovery to identify existing patterns and conventions.
Interactive information gathering using batched, multi-choice user questions.
Hierarchical implementation task lists with priority, phase, and time estimates.
Comparative approach exploration with detailed pros, cons, and recommendations.
Automated generation of comprehensive design documents and architecture overviews.

Use Cases

Architecting significant codebase refactors or migrations with structured validation.
Planning complex new features that span multiple system layers like API, Data, and UI.
Generating standardized documentation and technical specs for team-wide alignment.