Github Repo Launch Page

GitHub Repository Launch Page Skill

Purpose

Turn a repository from “code dump” into a public project page that answers, in order:

1. What is this?
2. Who is it for?
3. Why should I care now?
4. Can I trust it?
5. Can I try it in under five minutes?
6. Where do I go next?

This skill covers the whole GitHub repo surface:

• repository name and product name
• GitHub About description
• homepage URL
• topics
• README
• screenshots, demos, diagrams, social preview
• docs structure
• license, contribution, security, and support files

For naming work, invoke github-repo-product-naming first or in parallel. A good README cannot fully compensate for a weak name.

When to use

Use this skill when the user asks to:

• create or rewrite a repository README
• make a GitHub repo look more attractive, credible, or “viral”
• prepare a repo for launch, sharing, recruiters, Hacker News, Reddit, LinkedIn, or X
• improve repository SEO/discoverability
• set GitHub About description, topics, website, pinned repo appearance, social preview, docs, screenshots, badges, issue templates, or contribution files
• reverse-engineer successful open-source README patterns

Inspect before writing

Inspect these when available:

• repo name, package/application name, CLI name
• GitHub About description, homepage URL, topics, license, visibility, archived status
• README.md
• LICENSE
• CONTRIBUTING.md
• CODE_OF_CONDUCT.md
• SECURITY.md
• CHANGELOG.md
• .github/ISSUE_TEMPLATE/*
• .github/PULL_REQUEST_TEMPLATE.md
• docs/
• examples/
• demo/
• assets/
• screenshots/
• package files such as pyproject.toml, package.json, Cargo.toml, go.mod, Dockerfile, docker-compose.yml
• tests and CI workflows
• existing screenshots, diagrams, demo GIFs, videos, landing pages, docs pages, releases
• whether the project contains private, employer-owned, secret, or unsafe information

If metadata cannot be read automatically, ask for or output a manual checklist.

Naming dependency

Before finalizing the README, check whether the name itself carries the desired association.

Use github-repo-product-naming if any of these are true:

• the repo name sounds like internal documentation
• the name is only a category, such as engineering-methods or workstation-setup
• the name is too long
• the name triggers the wrong association
• the name fails to express the product identity
• the user wants something more “badass,” memorable, viral, or open-source-native
• the repo is part of a multi-repo ecosystem and needs naming consistency

Do not bury naming in the README. Naming is a strategic layer.

Reverse-engineered launch-page patterns

Strong public repositories usually combine these near the top:

1. Hero block

Common pattern:

# ProjectName — concrete promise

> Memorable one-line tagline.

[badges]

![screenshot or banner](...)

One short paragraph explaining what it is, who it is for, and the concrete outcome.

Good hero blocks are specific. They do not start with internal architecture.

Strong variations:

• Product/tool page: name, witty tagline, badges, screenshot, then concrete operational benefit.
• Framework/platform page: centered logo, short category claim, install command, ecosystem links.
• Research/model page: paper/blog/model-card links, concise model description, diagram, setup, model table, CLI and Python usage.
• Community/devtool page: logo, personality, compatibility, install command, manual inspection/security note.
• Developer utility page: screenshot first, “why” bullets, quick install, privacy/security notes, docs links.

2. Positioning paragraph

Use this formula:

<Project> is a <category> for <target user> who need to <job-to-be-done>. It helps them <outcome> by <mechanism/differentiator>, while <constraint or trust factor>.

Examples:

RepoPilot is a local-first CLI for maintainers who need to triage many GitHub issues quickly. It mirrors issues into SQLite, clusters duplicates, and produces reviewable summaries without sending private repository content to a hosted backend.

ProofStack turns private work evidence into public-safe career signal: resumes, LinkedIn sections, portfolio stories, articles, and interview material that preserve proof without leaking private details.

3. Why section

Use ## Why before exhaustive features.

Good “Why” bullets identify painful moments:

## Why

- Stop guessing which command to run first.
- Keep private data local by default.
- Make the happy path copy-pasteable.
- Give maintainers a quick mental model before they read the code.

Bad “Why” bullets are vague:

- Easy to use
- Fast
- AI-powered
- Modern

4. Quickstart before deep docs

Place a working quickstart within the first ~100-150 README lines when possible.

Minimum quickstart:

## Quickstart

```bash
# install
...

# run
...
```

Expected result:

```text
...
```

If setup is complex, provide one of:

• Docker quickstart
• hosted demo
• GitHub Codespaces
• sample input/output
• dry-run mode
• screenshots only, if the project is not runnable yet

5. Screenshot/demo proof

Add at least one of:

• hero screenshot
• short GIF
• CLI recording
• architecture diagram
• before/after image
• sample output
• hosted demo link
• social preview image

Every visual needs useful alt text. Avoid decorative screenshots with no explanation.

6. Capability bullets

Use 5-7 bullets, each with outcome + mechanism:

## Features

- **Local archive** — mirrors issues and PRs into SQLite for offline triage.
- **Duplicate clustering** — groups related reports before maintainers read them manually.
- **Reviewable output** — writes Markdown summaries instead of taking irreversible actions.

Do not list implementation details unless they matter to adoption.

7. Trust blocks

Add only true, relevant trust information:

• license
• privacy model
• security model
• data storage location
• permissions required
• limitations
• current status: alpha, beta, production, experiment, archived
• known risks
• supported OS/Python/Node versions
• tests/CI status
• who maintains it

Never fake stars, downloads, production users, sponsors, benchmarks, or affiliations.

8. Next-path links

Near the top, give direct links:

<p align="center">
  <a href="#quickstart">Quickstart</a> ·
  <a href="docs/">Docs</a> ·
  <a href="examples/">Examples</a> ·
  <a href="CHANGELOG.md">Changelog</a> ·
  <a href="CONTRIBUTING.md">Contributing</a>
</p>

Recommended README structure

Use this default unless the repo type calls for a variant.

# ProjectName — one-line concrete promise

> Memorable tagline.

[badges]

![Hero screenshot or banner](assets/social-preview.png)

Short positioning paragraph: what it is, who it is for, outcome, differentiator.

<p align="center">
  <a href="#quickstart">Quickstart</a> ·
  <a href="#features">Features</a> ·
  <a href="docs/">Docs</a> ·
  <a href="#contributing">Contributing</a>
</p>

## Why

## Features

## Quickstart

## Demo

## How it works

## Use cases

## Requirements

## Configuration

## Documentation

## Privacy and security

## Roadmap / status

## Contributing

## License

README variants

Product or app

Use when the repo ships a user-facing app.

Order:

1. hero image
2. one-line promise
3. screenshot
4. why
5. install
6. first-run steps
7. features
8. permissions/privacy
9. docs
10. support
11. license

Framework or library

Use when the repo is a developer platform, SDK, or package.

Order:

1. logo/name/tagline
2. install command
3. minimal code example
4. ecosystem map
5. why use it
6. API docs/reference
7. integrations/examples
8. contributing
9. license

Research/model repo

Use when the repo is a model, paper implementation, benchmark, or ML artifact.

Order:

1. project name
2. links: paper, blog, model card, demo, dataset
3. short abstract
4. diagram/approach
5. setup
6. model/data table
7. CLI usage
8. Python/API usage
9. evaluation/limitations
10. citation
11. license

CLI/devtool/config repo

Use when the repo is a terminal/dev workflow tool.

Order:

1. catchy but precise tagline
2. animated demo or screenshot
3. install command
4. 3 common commands
5. configuration
6. examples
7. safety/manual inspection note
8. troubleshooting
9. contribution guide

Skill/plugin repository

Use when the repo packages AI-agent skills, Claude Code plugins, Codex plugins, prompts, commands, or reusable instructions.

Order:

1. product name and exact use case
2. ecosystem compatibility: Codex, Claude Code, OpenCode, ChatGPT, MCP, etc.
3. install commands
4. included skills table
5. workflow examples
6. safety/privacy model
7. local development setup
8. contribution and extension guide

GitHub metadata checklist

Prepare these separately from README.md.

Repository name

The repo name should be chosen with github-repo-product-naming.

Basic constraints:

• short
• pronounceable
• searchable
• specific enough to remember
• no unnecessary suffixes like -app, -tool, -repo, unless needed
• consistent casing across README, package name, CLI name, docs, website, and install commands

GitHub About description

Recommended length: 70-140 characters.

Formula:

<Category> for <target user> to <outcome> with <differentiator>.

Examples:

Local-first GitHub issue triage CLI for maintainers drowning in duplicate reports.

Engineering methods for code, agents, docs, security, reviews, and system architecture.

Avoid:

• “A simple tool…”
• “AI-powered app…”
• “This repository contains…”
• implementation-only descriptions

Homepage URL

Add a homepage if any exists:

• docs site
• deployed app
• demo
• blog post
• project landing page
• package page

Topics

Use up to 20 topics. Topics should be lowercase, hyphen-separated, and discoverable.

Use a mix:

• domain: agentic-ai, developer-tools, workflow-automation
• language/framework: python, typescript, swift, langchain
• artifact type: cli, macos, chrome-extension, github-profile
• problem: issue-triage, browser-automation, readme-generator
• audience: maintainers, data-engineering, ai-agents

Do not add irrelevant popular topics.

Social preview

Create a repository social preview image.

Recommended:

• 1280 x 640 px
• PNG or JPG
• under 1 MB
• project name large enough to read in link previews
• 1-sentence promise
• screenshot or product visual if helpful
• solid background unless transparency is deliberately tested

Badges

Use badges sparingly. Prefer:

• package version
• license
• CI
• docs
• release
• supported platform
• package downloads, only if meaningful

Do not lead with 20 badges.

Deterministic audit checks

README top-of-file checks

• H1 exists in first 5 lines.
• One-line promise appears in first 15 lines.
• First 100 words explain category, audience, outcome, and differentiator.
• At least one of screenshot, diagram, GIF, logo, or sample output appears before deep docs.
• Quickstart or install link appears before line 150, unless the repo is not runnable.
• No “TODO”, “lorem ipsum”, placeholder badges, or dead demo links remain.

Naming checks

• Name is not just a folder/category.
• Name triggers the desired association.
• Name does not trigger a stronger wrong association.
• Name has a subtitle that explains the literal category.
• Repo slug is lowercase, URL-safe, and install-command-friendly.
• If the repo is part of an ecosystem, name fits the ecosystem.
• If the name decision is nontrivial, github-repo-product-naming output exists.

Required section checks

At minimum, the README should contain sections or equivalent links for:

• Why / Motivation
• Features / Capabilities
• Quickstart / Installation
• Usage / Examples
• Requirements
• Documentation / More examples
• Status / Limitations, if not mature
• Contributing / Support
• License

Link and asset checks

• All relative links resolve.
• All images resolve.
• Image alt text is meaningful.
• Social preview image exists.
• README does not exceed GitHub truncation limits.
• Local docs linked from README exist.
• Code snippets have language tags.

Command checks

• Shell commands are copy-pasteable.
• Installation command matches package manager metadata.
• The quickstart can be run from a fresh clone or states prerequisites clearly.
• Dangerous commands are avoided or explained.
• Commands do not assume secrets unless .env.example exists.

Metadata checks

• Description is outcome-focused.
• Homepage is set if available.
• Topics are relevant, lowercase, hyphen-separated, <= 20.
• License exists and matches README claim.
• If the repo wants contributors, issue templates and contribution guidelines exist.

Claim checks

Reject or rewrite claims that are:

• unverifiable
• exaggerated
• employer-confidential
• based on private metrics
• using fake stars/downloads/users
• implying affiliation without permission

Output format

When applying this skill, produce:

1. Diagnosis: what currently blocks adoption.
2. Naming and positioning:
   • current name assessment
   • proposed product name
   • repo slug
   • tagline
   • one-sentence positioning
   • rejected names and why
3. README: complete README.md or patch.
4. GitHub UI settings:
   • About description
   • homepage URL
   • topics
   • social preview suggestion
5. Assets to create:
   • screenshots
   • banner/social preview
   • demo GIF
   • diagrams
6. Repository hygiene TODOs:
   • license
   • contributing
   • issue templates
   • docs
   • changelog
   • security/privacy
7. Deterministic checklist result.

Tone rules

Use:

• concrete nouns
• observable outcomes
• short paragraphs
• proof before hype
• honest limitations
• plain English
• copy-pasteable commands

Avoid:

• “revolutionary”
• “game-changing”
• “seamless” unless explained
• “AI-powered” without saying what task the AI performs
• huge architecture dumps before the user knows why the project matters
• pretending a private experiment is production-ready

Arthur-specific default positioning

For Arthur Zakirov’s public repos, default to this public-safe positioning unless the repo evidence says otherwise:

Practical data/cloud engineer building small automation systems for high-friction personal and developer workflows.

Good recurring themes:

• data engineering
• cloud workflows
• Python automation
• browser/task automation
• agentic AI applications
• personal productivity systems
• developer tooling
• public lab / practical experiments

Known ecosystem direction:

• ProofStack — career proof and public-safe positioning
• AgentDesk — machine and AI-agent workstation setup
• SystemSmith — engineering methods for code, agents, and architecture

Avoid claiming private employer ownership, private company code, or production metrics unless the user explicitly provides public-safe proof.