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Service Booking Flow

Community
boraoztunc
service-booking-flow

Create or redesign appointment-based service websites for salons, barbers, spas, wellness studios, clinics, and hospitality brands. Use for warm editorial layouts, serif-led identity, documentary portrait crops, calm treatment selectors, location-aware booking, and operational states that remain elegant and trustworthy.

Overview

Publisherboraoztunc
Repositoryskills
Skill nameservice-booking-flow
Stars
422
Forks
63
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by boraoztunc on GitHub. Read the source before you install it.

Installation

Install the Service Booking Flow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/boraoztunc/skills/tree/main/service-booking-flow
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/boraoztunc/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/service-booking-flow .claude/skills/service-booking-flow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Service Booking Flow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Service Booking Flow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Service Booking Flow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Editorial Service Booking

Make browsing services feel like turning through a quiet lookbook, then carry that confidence into a resilient booking flow.

Establish the Journey

  1. Open with one strong portrait or place image and a short statement of craft.
  2. Build trust with environment, process, and practitioner evidence rather than generic badges.
  3. Let visitors compare treatments in one calm media-and-copy stage.
  4. Show favorites, results, or verified customer proof only when real.
  5. Move into location, professional, time, and confirmation without changing visual language.

Use original or licensed people and place photography. Replace every source service, price, person, location, review, and claim.

Build the Visual System

  • Use warm ivory paper and near-black chapters.
  • Pair an elegant high-contrast serif with compact sans-serif labels.
  • Favor hairline rules, minimal radius, editorial crops, and generous whitespace.
  • Keep uppercase navigation sparse and quiet.
  • Use black for decisive actions; use one muted accent only for selection or status.
  • Avoid glossy cards, glass effects, loud gradients, and beauty-template ornament.

Compose the Page

  • Header: show essential routes, current location, and one booking action.
  • Hero: use one cropped documentary portrait or place image with a large serif statement.
  • Confidence line: allow one slow text loop only when it carries real positioning.
  • About: layer two or three photographs with captions and clear reading order.
  • Treatments: pair a tab list with a reserved media stage, duration, price, and booking link.
  • Favorites: use a dark chapter to show verified popular services or results.
  • Locations: expose address, hours, accessibility, contact, and availability before booking.
  • Booking: keep selected service, professional, location, and time visible through confirmation.
  • Footer: prioritize operational information over marketing filler.

Implement the Treatment Selector

  • Use semantic buttons with tablist, tab, and tabpanel behavior when tabs are appropriate.
  • Support arrow-key movement plus Enter and Space selection.
  • Keep duration, price, description, and action in the DOM.
  • Reserve stage dimensions and preload only the next likely image.
  • Announce the selected treatment without repeating the whole panel.
  • Fall back to an expanded static list under reduced motion.
  • Keep focus and hover cues equivalent; touch must not depend on hover.

Implement the Booking Flow

  • Prefer native form controls and server-validated availability.
  • Persist service, professional, location, and time choices.
  • Never claim a slot before server confirmation.
  • Design loading, empty, disabled, stale slot, invalid details, payment failure, retry, reschedule, cancel, and success states.
  • Return focus to the correct field after an error and announce validation clearly.
  • Preserve selections across Back navigation and recoverable failures.

Motion Defaults

  • Use 160–220ms for controls and 500–760ms for section entrances.
  • Keep the confidence loop slower than 14 seconds and pause it offscreen.
  • Use one layered photo reveal, simple section fades, and short treatment-media swaps.
  • Keep transforms shallow and reserve exact final layout pixels.
  • Render the final state immediately for reduced motion.

Validate

  • Complete booking with keyboard and touch on mobile.
  • Test a stale slot, failed media, server error, invalid field, and retry.
  • Confirm no layout shift during treatment changes.
  • Verify readable contrast, visible focus, alt text, 200% zoom, and correct tab order.
  • Confirm all people, places, prices, results, and reviews are real, licensed, provided, or clearly marked internal placeholders.

Avoid

  • Dense price tables before desire or context exists.
  • Hover-only treatment previews.
  • Fake availability, reviews, results, or practitioner credentials.
  • Auto-advancing carousels, frantic motion, and decorative beauty gradients.
  • Losing booking selections after errors or navigation.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Service Booking Flow AI skill do?

Create or redesign appointment-based service websites for salons, barbers, spas, wellness studios, clinics, and hospitality brands. Use for warm editorial layouts, serif-led identity, documentary portrait crops, calm treatment selectors, location-aware booking, and operational states that remain elegant and trustworthy.

Why use Service Booking Flow on TypingMind?

Because you install it once and use it with any model. Service Booking Flow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Service Booking Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/boraoztunc/skills/tree/main/service-booking-flow. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Service Booking Flow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Service Booking Flow?

As many as you like. As long as a model supports skills, you can use Service Booking Flow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Service Booking Flow AI skill free?

Yes. It is published on GitHub by boraoztunc under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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