contact-page-generator

kostja94/marketing-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/kostja94/marketing-skills --skill contact-page-generator
0 commentsdiscussion
summary

Guides contact page design and form optimization for conversions.

skill.md

Pages: Contact

Guides contact page design and form optimization for conversions.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for brand voice.

Identify:

  1. Contact types: Sales, support, general, press
  2. Form purpose: Lead capture, support ticket, demo request
  3. Alternative channels: Email, phone, chat, social

Best Practices

Form Design

Principle Guideline
Short 3-5 fields for basic contact; long forms increase abandonment
Single column Vertical layout; works better on mobile
Logical grouping Name+email together; address fields together
Required fields Mark clearly (asterisk); avoid surprises
Progressive disclosure Show relevant fields based on selections

Field Labels

  • Clear language: "Email Address" not "Email ID"
  • Conversational: Friendly, welcoming
  • No jargon: Universally understood terms

CTA Button

  • Action verbs: "Send Message," "Get in Touch," "Start a Conversation"
  • Avoid generic: "Submit" ? "Send Message"
  • Stand out: Contrasting color, clear hierarchy

Page-Level

Element Guideline
Visibility "Contact" or "Support" in main nav, not just footer
Mobile Appropriate input types (tel for phone), large tap targets
Proofreading No typos--credibility at conversion moment
Alternatives Email, phone, chat if form isn't right

Trust

  • Response time: "We reply within 24 hours"
  • Privacy: Link to privacy policy near form
  • Security: HTTPS, visible trust signals

Output Format

  • Form structure (fields, order)
  • Copy (labels, placeholder, CTA)
  • Page layout and placement
  • SEO metadata
  • Accessibility checklist

Related Skills

  • landing-page-generator: Lead capture LP contains contact form; demo request CTA destination
  • about-page-generator: Contact often linked from About
  • legal-page-generator: Privacy policy link near form
  • title-tag, meta-description, page-metadata: Contact page metadata
how to use contact-page-generator

How to use contact-page-generator 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 contact-page-generator
2

Execute installation command

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

$npx skills add https://github.com/kostja94/marketing-skills --skill contact-page-generator

The skills CLI fetches contact-page-generator from GitHub repository kostja94/marketing-skills 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/contact-page-generator

Reload or restart Cursor to activate contact-page-generator. Access the skill through slash commands (e.g., /contact-page-generator) 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

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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

Ratings

4.542 reviews
  • Shikha Mishra· Dec 12, 2024

    Solid pick for teams standardizing on skills: contact-page-generator is focused, and the summary matches what you get after install.

  • Luis Zhang· Dec 8, 2024

    We added contact-page-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Liam Sanchez· Nov 27, 2024

    Solid pick for teams standardizing on skills: contact-page-generator is focused, and the summary matches what you get after install.

  • Alexander Kim· Nov 19, 2024

    Useful defaults in contact-page-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 11, 2024

    I recommend contact-page-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sofia Srinivasan· Nov 11, 2024

    I recommend contact-page-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 3, 2024

    We added contact-page-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Dhruvi Jain· Oct 22, 2024

    contact-page-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hassan White· Oct 18, 2024

    contact-page-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Agarwal· Oct 10, 2024

    I recommend contact-page-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

showing 1-10 of 42

1 / 5