heading-structure

kostja94/marketing-skills · updated Apr 8, 2026

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$npx skills add https://github.com/kostja94/marketing-skills --skill heading-structure
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summary

Guides heading (H1-H6) optimization for SEO and content structure.

skill.md

SEO On-Page: Heading Structure

Guides heading (H1-H6) optimization for SEO and content structure.

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.

Scope (On-Page SEO)

  • H1 tag: One per page; clear headline; matches content; primary keyword near start
  • Header tags (H1-H6): Logical hierarchy; keyword in headers; one idea per heading

Initial Assessment

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

Identify:

  1. Page type: Homepage, article, product, etc.
  2. Primary keyword: Target search query
  3. Content outline: Main sections and subsections

Best Practices

H1

Principle Guideline
One per page Single H1 per page
Primary keyword Include target keyword naturally
Descriptive Clearly describe page content
Match intent Align with title tag and user intent

H2-H6 Hierarchy

Principle Guideline
Logical order H1 -> H2 -> H3; don't skip levels
One idea per heading Each heading = one topic
Scannable Headings should summarize section content
Keyword variation Use related keywords in subheadings

Structure

H1 (page title)
-> H2 (section 1)
   -> H3 (subsection)
   -> H3
-> H2 (section 2)
   -> H3
-> H2 (section 3)

Common Issues

Issue Fix
Multiple H1s Use single H1; use H2 for other sections
Skipped levels Use H2 after H1, H3 after H2
Generic headings Make descriptive; avoid "Introduction," "Conclusion"
Keyword stuffing Natural language; avoid forced keywords

Output Format

  • H1 recommendation (with keyword)
  • H2-H6 outline for content
  • Hierarchy check
  • References: Google headings

Related Skills

  • featured-snippet: H2/H3 for snippet extraction; semantic HTML for list/table snippets
  • page-metadata: Hreflang, meta robots; metadata complements heading structure
  • content-optimization: H2 keyword placement, quantity, tables, lists; complements heading structure
  • article-page-generator: Article page H1-H3 structure, intro/body/conclusion
  • title-tag: H1 should align with title tag
  • schema-markup: Article schema uses headline (often H1)
  • content-strategy: Content outline informs headings
how to use heading-structure

How to use heading-structure 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 heading-structure
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 heading-structure

The skills CLI fetches heading-structure 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/heading-structure

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

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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

4.653 reviews
  • Lucas Kim· Dec 28, 2024

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

  • Amina Sharma· Dec 12, 2024

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

  • Liam Perez· Dec 8, 2024

    Registry listing for heading-structure matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Dec 4, 2024

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

  • Lucas Chen· Nov 27, 2024

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

  • Oshnikdeep· Nov 23, 2024

    We added heading-structure from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 19, 2024

    heading-structure is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mei Thompson· Nov 19, 2024

    heading-structure reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Anika Anderson· Nov 3, 2024

    Registry listing for heading-structure matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amina Abebe· Oct 22, 2024

    heading-structure reduced setup friction for our internal harness; good balance of opinion and flexibility.

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