feature-design-assistant

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill feature-design-assistant
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summary

Structured dialogue tool for collaboratively designing features, APIs, and architecture through phased information gathering and validation.

  • Guides through six phases: context discovery, requirements gathering, approach exploration, design presentation, documentation, and execution handoff
  • Uses batched multi-question prompts to efficiently collect requirements across core goals, technical layers, quality attributes, integrations, and dependencies
  • Generates 2-3 design approach options
skill.md

Feature Design Assistant

Help turn ideas into fully formed designs and specs through structured information gathering and collaborative validation.

Announce at start: "I'm using the feature-design-assistant skill to design this feature."

Phase 1: Context Discovery

First, explore the codebase to understand:

  • Project structure and tech stack
  • Existing patterns and conventions
  • Related features or modules
  • Recent changes in relevant areas

Phase 2: Structured Information Gathering

Use AskUserQuestion to batch collect information efficiently. Each call can ask up to 4 questions.

Round 1: Core Requirements (4 questions)

{
  "questions": [
    {
      "question": "What is the primary goal of this feature?",
      "header": "Goal",
      "multiSelect": false,
      "options": [
        { "label": "New Functionality", "description": "Add entirely new capability to the system" },
        { "label": "Enhancement", "description": "Improve or extend existing feature" },
        { "label": "Bug Fix", "description": "Fix incorrect behavior or issue" },
        { "label": "Refactoring", "description": "Improve code quality without changing behavior" }
      ]
    },
    {
      "question": "Who are the primary users of this feature?",
      "header": "Users",
      "multiSelect": true,
      "options": [
        { "label": "End Users", "description": "External customers using the product" },
        { "label": "Admins", "description": "Internal administrators or operators" },
        { "label": "Developers", "description": "Other developers using APIs or SDKs" },
        { "label": "System", "description": "Automated processes or background jobs" }
      ]
    },
    {
      "question": "What is the expected scope of this feature?",
      "header": "Scope",
      "multiSelect": false,
      "options": [
        { "label": "Small (1-2 days)", "description": "Single component, limited changes" },
        { "label": "Medium (3-5 days)", "description": "Multiple components, moderate complexity" },
        { "label": "Large (1-2 weeks)", "description": "Cross-cutting concerns, significant changes" },
        { "label": "Unsure", "description": "Need to explore further to estimate" }
      ]
    },
    {
      "question": "Are there any hard deadlines or constraints?",
      "header": "Timeline",
      "multiSelect": false,
      "options": [
        { "label": "Urgent", "description": "Need this ASAP, within days" },
        { "label": "This Sprint", "description": "Should be done within current sprint" },
        { "label": "Flexible", "description": "No hard deadline, quality over speed" },
        { "label": "Planning Only", "description": "Just designing now, implementing later" }
      ]
    }
  ]
}

Round 2: Technical Requirements (4 questions)

{
  "questions": [
    {
      "question": "Which layers of the system will this feature touch?",
      "header": "Layers",
      "multiSelect": true,
      "options": [
        { "label": "Data Model", "description": "Database schema, models, migrations" },
        { "label": "Business Logic", "description": "Services, domain logic, rules" },
        { "label": "API", "description": "REST/GraphQL endpoints, contracts" },
        { "label": "UI", "description": "Frontend components, user interface" }
      ]
    },
    {
      "question": "What are the key quality requirements?",
      "header": "Quality",
      "multiSelect": true,
      "options": [
        { "label": "High Performance", "description": "Must handle high load or be very fast" },
        { "label": "Strong Security", "description": "Sensitive data, auth, access control" },
        { "label": "High Reliability", "description": "Cannot fail, needs redundancy" },
        { "label": "Easy Maintenance", "description": "Needs to be easily understood and modified" }
      ]
    },
    {
      "question": "How should errors be handled?",
      "header": "Errors",
      "multiSelect": false,
      "options": [
        { "label": "Fail Fast", "description": "Stop immediately on any error" },
        { "label": "Graceful Degrade", "description": "Continue with reduced functionality" },
        { "label": "Retry & Recover", "description": "Automatic retry with recovery logic" },
        { "label": "Context Dependent", "description": "Different strategies for different cases" }
      ]
    },
    {
      "question": "What testing approach is preferred?",
      "header": "Testing",
      "multiSelect": false,
      "options": [
        { "label": "TDD (Recommended)", "description": "Write tests first, then implementation" },
        { 
how to use feature-design-assistant

How to use feature-design-assistant on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add feature-design-assistant
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill feature-design-assistant

The skills CLI fetches feature-design-assistant from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/feature-design-assistant

Reload or restart Cursor to activate feature-design-assistant. Access the skill through slash commands (e.g., /feature-design-assistant) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.772 reviews
  • Amina Anderson· Dec 24, 2024

    Useful defaults in feature-design-assistant — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amina Lopez· Dec 24, 2024

    feature-design-assistant is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amina Garcia· Dec 16, 2024

    Solid pick for teams standardizing on skills: feature-design-assistant is focused, and the summary matches what you get after install.

  • Isabella Malhotra· Dec 12, 2024

    We added feature-design-assistant from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Shikha Mishra· Dec 8, 2024

    I recommend feature-design-assistant for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Isabella Khanna· Dec 8, 2024

    Registry listing for feature-design-assistant matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Isabella Martin· Dec 4, 2024

    feature-design-assistant has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zara Li· Dec 4, 2024

    Useful defaults in feature-design-assistant — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Nov 27, 2024

    feature-design-assistant fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Benjamin Khanna· Nov 23, 2024

    Solid pick for teams standardizing on skills: feature-design-assistant is focused, and the summary matches what you get after install.

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