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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 github
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summary

Guides GitHub for parasite SEO, GEO (AI citation), and curated list creation. GitHub is a Tier 2 Technical Authority platform—high domain authority, fast indexing, very high AI citation probability. Use for repos, README, GitHub Pages, gists, and Awesome-style navigation lists.

skill.md

Platforms: GitHub

Guides GitHub for parasite SEO, GEO (AI citation), and curated list creation. GitHub is a Tier 2 Technical Authority platform—high domain authority, fast indexing, very high AI citation probability. Use for repos, README, GitHub Pages, gists, and Awesome-style navigation lists.

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.

Why GitHub for SEO

Factor Effect
Domain authority High DA; repos, gists, Pages rank well
Fast indexing Search engines crawl GitHub frequently
AI citation ChatGPT, Perplexity cite GitHub for technical queries; Tier 2 in GEO framework
Technical expertise Strong expertise signals; structured docs become AI reference material
Cross-platform Share across Dev.to, Stack Overflow, forums; amplifies visibility

Use Cases

Use case Format Purpose
Parasite SEO Repos, README, Pages, gists Leverage GitHub authority for rankings and backlinks
GEO Documentation, tutorials, curated lists AI tools cite GitHub for technical answers
Curated / navigation lists Awesome-style repos Topic-specific resource directories; backlinks, discovery

Repository Name, About & README (SEO/GEO Priority)

Ranking weight (GitHub + Google): Repository name & About ≈ highest; Topics ≈ high; README ≈ high.

Repository Name

Practice Guideline
Descriptive Hint at what the project does
Keyword-rich Include primary keywords (markdown-editor not my-project)
Hyphens Separate words (react-component-library)
Concise Shorter = memorable, shareable

About Section (Description)

Limit Guideline
350 chars Hard limit; GitHub enforces
~128 chars Optimal for brevity; often displayed fully
Content Primary keyword + natural variations; what it does, who it's for; link to website or docs if space

Example: "A fast, lightweight markdown editor for React with live preview, syntax highlighting, and export to PDF. Built with TypeScript."

Topics

Limit Guideline
6–20 topics Max 20; 6–10 recommended
~50 chars each Per topic
Format Lowercase, hyphens, numbers only
Mix Technology (react, python), purpose (cli, library), category (seo, ai-tools), community (hacktoberfest)

Underutilized but highly effective for discoverability and GEO.

README Structure & Components

Section Purpose SEO/GEO
Title + tagline H1 + 1–2 sentence summary; keywords in first paragraph Critical; first 100 words weighted
Table of contents Links to H2/H3; for READMEs >500 words Navigation; crawlability
Installation / Quick start Prerequisites; exact commands; copy-paste ready Use-case clarity
Usage examples Code blocks; common scenarios Citable; extractable
Screenshots / GIFs Demo, output; alt text required Engagement; accessibility
Badges Build, version, license Trust signals
Contributing Link to CONTRIBUTING.md Community signal
License Link to LICENSE Completeness

Word count: No hard limit; 500–1,500 words typical for product repos. Lead with value; expand later.

README GEO / AI Citation

Practice Guideline
Answer-first Direct answer in first 1–2 sentences (40–60 words)
Short paragraphs 2–3 sentences max; extractable clarity
Question-style headings H2/H3 as questions where relevant
Data inclusion Stats, numbers; cited content ~40% more likely to include data
Freshness Update regularly; ~76% of cited content updated within 30 days

Entity signals: Clear project name, author, maintainer; consistent identity. See entity-seo.

README Checklist

  • Project title with keywords
  • Concise description in first paragraph
  • H2/H3 structure; alt text for images
  • Installation + usage examples
  • Screenshots or demo
  • Badges; Contributing; License
  • Internal links to related docs/repos
  • 6–20 topics on repo

Parasite SEO on GitHub

Key Surfaces

Surface Use
README Landing page for repo; keyword-optimized summary, headings, links
GitHub Pages Static site; blog, FAQ, docs; additional ranking opportunities
Gists Micro-content; long-tail keywords; link to repos or external resources
Wiki Keyword-rich documentation
Issues Q&A, discussions; indexable

Optimization

Element Practice
Repository title Primary keywords; descriptive; hyphens
About 350 chars max; keyword-rich; primary keyword + natural variations
Description Secondary keywords; link to website or resources
README Keyword-optimized summary first; headings, bullet points; screenshots; links to docs, tutorials
Topics / tags 6–20 relevant topics; 50 chars each
GitHub Pages Mobile-friendly; metadata; blog/FAQ for extra keywords

Gists for Micro-Content

  • Target specific long-tail keywords
  • Link back to larger repos or external resources
  • Share code snippets, small utilities

Community Engagement

  • Respond to issues and PRs; builds trust
  • Contribute to popular projects; backlinks, visibility
  • Keep repos updated; outdated = lower credibility

GEO on GitHub

Factor Practice
README clarity Clear, citable paragraphs; direct answers
Documentation Structured; AI tools parse well
Entity signals Clear project, author identity; see entity-seo
Consistency Active maintenance; engagement (stars, forks, watchers)

Curated / Navigation Lists (Awesome-Style)

Awesome lists = Curated, topic-specific resource lists on GitHub. Function like navigation directories; high traffic, backlinks, discovery. sindresorhus/awesome (441K+ stars) is the master list; 6,500+ curated lists exist across topics.

Examples by Category

Category Examples
Master list sindresorhus/awesome — hub of all awesome lists
SEO / Marketing awesome-seo, awesome-ai-seo, bmpi-dev/awesome-seo
AI / ML awesome-ai-tools, AITreasureBox, awesome-ai
Dev tools awesome-tools, awesome-cli, awesome-nodejs
Languages awesome-python, awesome-javascript, awesome-go
Frontend / Backend awesome-react, awesome-vue, awesome-django
Other awesome-security, awesome-gaming, awesome-databases

When to Create

  • You have a niche with many quality resources to curate
  • Existing lists lack coverage of your topic
  • You want a backlink asset and topical authority

List Structure (sindresorhus/awesome guidelines)

Element Practice
Title Clear, focused (e.g., "Awesome SEO," "Awesome AI Tools")
Description Succinct; scope clear
Sections Categorized (e.g., Tutorials, Tools, Articles)
Items Curated, not collected; only include what you recommend
Item format - [Name](URL) - Brief description of why it's awesome
License CC0 or similar
Contributing contributing.md for PR process

Getting Listed vs. Creating

Action Use
Submit to existing list PR to awesome-* repos; follow list format; contact maintainer
Create new list When no list exists for your niche; follow awesome guidelines
Link between lists Link to other awesome lists that cover subjects better

Discovery

  • sindresorhus/awesome — Master list of awesome lists
  • AwesomeSearch — Search across awesome lists
  • more-awesome — Directory of awesome lists

Common Mistakes

Mistake Avoid
Ignoring engagement Not responding to issues/PRs reduces trust
Irregular updates Outdated repos signal inactivity
Incomplete docs Lack of clear descriptions frustrates users
Generic titles Missing keywords reduces discoverability
Thin awesome lists Low-quality or uncurated items hurt credibility

Output Format

  • Use case (parasite SEO / GEO / curated list)
  • Repository name, About, Topics (if optimizing metadata)
  • Surface (README, Pages, gist, awesome repo)
  • README structure (sections, word count, GEO practices if applicable)
  • Optimization (keywords, structure, links)
  • Ready-to-use copy or structure where applicable

Related Skills

  • parasite-seo: Parasite SEO strategy; GitHub as Tier 2 technical platform
  • generative-engine-optimization: GEO strategy; GitHub for AI citation
  • open-source-strategy: Open source commercialization; GitHub as primary distribution
  • directory-submission: Directory and curated list submission; awesome lists as curated lists
  • link-building: GitHub as link acquisition; repos, gists, awesome lists
  • entity-seo: Entity signals (project, author); Organization, Person
how to use github

How to use github 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 github
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 github

The skills CLI fetches github 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/github

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

4.628 reviews
  • Shikha Mishra· Dec 24, 2024

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

  • Ganesh Mohane· Dec 24, 2024

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

  • Evelyn Jackson· Dec 20, 2024

    Keeps context tight: github is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Michael Gill· Dec 4, 2024

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

  • Li Zhang· Nov 23, 2024

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

  • Yash Thakker· Nov 15, 2024

    Keeps context tight: github is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Michael Jackson· Nov 11, 2024

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

  • Camila Okafor· Oct 14, 2024

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

  • Dhruvi Jain· Oct 6, 2024

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

  • Kofi Martin· Oct 2, 2024

    github fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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