Tutorials 5 min read

How to Turn a Claude Code Skill Into a Web App

Step-by-step: deploy a Claude Code skill as a hosted web app at your own skillsafe.ai subdomain — one prompt to your agent, no servers, no auth code, no billing integration. Then share it with anyone who has a browser.

The short answer: save your skill on SkillSafe, then paste one prompt into Claude Code (or Cursor, or any agent with web access). The agent deploys the skill as a hosted app at https://your-slug.skillsafe.ai/ — a real web app anyone can open in a browser and run as a guest, no install and no API key. Your skill’s SKILL.md becomes the app’s system prompt; hosting, user accounts, and credit billing are platform features. You write no server, no auth code, and no payment integration.

Here is the whole flow, step by step.

Why turn a skill into an app?

A skill’s audience is capped at people who run an AI coding tool with your skill installed. An app’s audience is everyone with a browser — your teammate on the sales floor, your friend on their phone. We covered the reasoning in From Skill to App; this post is the hands-on version.

Step 1 — Get the skill onto SkillSafe

If your skill is already saved on SkillSafe, skip ahead. If it only exists on your machine, ask your agent to save it — the creator guide documents the save flow:

Read https://deploy.skillsafe.ai/llms.txt, then save the skill
in ./my-skill to SkillSafe.

You can also upload it from your dashboard. Skills are private by default, so saving publishes nothing.

Step 2 — Hand your agent the deploy prompt

This is the step that does the work. Paste into Claude Code, Cursor, or any agent with web access:

Read https://deploy.skillsafe.ai/llms.txt, then deploy my skill
@you/your-skill as a hosted app.

Under the hood, the agent drives the SkillSafe platform API end to end: it creates the app (POST /v1/apps), which snapshots your skill’s SKILL.md as the app’s pinned system prompt, then uploads a release (POST /v1/apps/:slug/releases) — either a static frontend bundle or an App Spec the platform renders for you. When it finishes, you have a live URL. Prefer to do it by hand? Every REST call is documented in the same guide.

Step 3 — Open it in a browser and run it as a guest

Visit https://your-slug.skillsafe.ai/ on your phone. You are now your own first user: guests need no SkillSafe account, and every run shows a cost estimate before it starts. Runs are metered at actual token usage ($1 = 10,000 credits), the unused portion of the hold is refunded when the run completes, and failed runs are refunded automatically.

Step 4 — Pass the scan, publish to the directory (optional)

Your app already works at its URL — you can share the link privately and stop here. To list it in the public app directory, the skill and the frontend bundle must both pass a clean security scan. That scan gate is the point of shipping on a registry: people who find your app can see it was reviewed before they run it. Listed apps also get an SEO-indexed detail page.

Step 5 — Set pricing, if you want to earn

By default your users pay for their own runs at platform cost. You can add a markup (up to 500%), sell subscription plans, or take one-off in-app purchases — all without touching a payment provider. That’s its own topic: see How to Charge Users for an AI App Without Stripe.

What you get without building it

  • Hosting on edge infrastructure at your own subdomain, with streaming output.
  • User accounts: guest sessions, one-click SkillSafe sign-in, per-app consent for profile or email access, tokens scoped to your app alone.
  • A backend: declared record collections with access control and a query DSL, vector similarity search, per-user key-value state, and file uploads (10 MB per file, image inputs supported for vision runs).
  • AI models: Claude, GPT, or Workers AI models per app — your users never bring a key.

Frequently Asked Questions

How to share an AI agent with someone who doesn’t code?

Host it as an app and send them the URL. A SkillSafe app runs in any browser on any device — phone, tablet, locked-down work laptop — with no install, no API key, and no CLI setup. Guests can use it without creating an account, and because every public app is built from a security-scanned skill, the person you share with can check its scan status before running it.

How to host an AI app without a server or backend?

Deploy it on a platform that owns the infrastructure. SkillSafe apps are hosted at your-slug.skillsafe.ai with nothing for you to deploy or operate, and the backend pieces — data collections, vector search, per-user storage, file uploads, and model access — are built in.

Do people need a SkillSafe account to run my app?

No. Guests get their own session and a capped credit wallet, so anyone can try your app from a link. Signing in (one click with an existing SkillSafe account) gives users persistent identity across devices and lets your app request their profile or email with consent.

What does the app cost to run?

Each run is paid by the person running it, metered at actual model-token usage with a pre-run estimate. New SkillSafe accounts start with 3,000 free credits ($0.30) and active users receive a small daily grant — free credits expire after 7 days — so your app always has an audience able to try it. If you want the app to be free for your users, enable sponsorship and cover their runs from your own wallet, with per-user and per-app daily caps.