README is a short front page (about 120 lines) with one real visual per section; every former section moved unchanged into docs/*.md with a docs/README.md index (journey, rejections, getting-started, commands, growth, studios, store-art, listing-languages, api, skills, mcp, safety, faq, project). The site tells the same story on one page: the teaser in the hero, real CLI output as text, the desktop app as a section with light/dark captures of eight screens and the per-system downloads (desktop/latest.json); /desktop/ redirects to /#download. New capture tools: tools/site-desktop-shots.ts (fixture-mode desktop frames) and tools/site-term-shots.ts (real CLI output as text and WebP). tests/docs-links.test.ts checks README, docs and site links resolve. |
||
|---|---|---|
| .. | ||
| diagrams | ||
| img | ||
| research | ||
| agents-core.md | ||
| api-coverage.md | ||
| api.md | ||
| commands.md | ||
| desktop-release.md | ||
| desktop.md | ||
| faq.md | ||
| getting-started.md | ||
| growth.md | ||
| idempotency.md | ||
| journey.md | ||
| listing-languages.md | ||
| mcp.md | ||
| pitfalls.md | ||
| project.md | ||
| README.md | ||
| rejections.md | ||
| safety.md | ||
| skills.md | ||
| store-art.md | ||
| studios.md | ||
storebound docs
The README is the short tour; everything in detail lives here.
Start
- Getting started: the 5-minute quick start, coming from fastlane, credentials, install for your AI tool
- The journey: why storebound, how agents use it, every step from setup to Submit (API, console or yours)
- FAQ
Ship
- Commands: every command, grouped (setup and checks, Google Play, App Store, TestFlight, after launch, screenshots and video, many apps and release trains)
- Catch rejections before you submit:
storebound scan, every rule with its guideline or policy - Store art: screenshots and previews, fonts, variants, video
- Listing in more languages
- Growth extras and console forms: PPP prices, Apple Ads, web presence, ad-hoc builds, RevenueCat,
console plan/console verify/console fill - Many apps, studios, release trains and workflows
- Every endpoint:
storebound apiand the API coverage table
Agents and safety
- Rules for AI agents (the source of
AGENTS.md) - Skills
- MCP server and the desktop machine interface
- Safety model
- Idempotency: every write converges
- Pitfalls: lessons from real use
Desktop app
- storebound desktop: design, safety model, screens
- Releasing storebound desktop: build, sign, check, publish
Project
- Roadmap, contributing and credits (agent support details, what is not verified yet, develop)
- Research notes