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Mobile Ux Architect

Community
Xinvtech
mobile-ux-architect

Turn a mobile product brief or feature definition into an actionable UX architecture covering actors, journeys, task flows, decisions, recovery paths, information architecture, navigation, screen map, object lifecycles, state matrix, permissions, device surfaces, and meaningful iOS/Android differences. Use before mobile wireframes, UI design, prototypes, or implementation, and when an existing mobile flow needs restructuring or completeness review.

Overview

PublisherXinvtech
Repositorymobile-design-os
Skill namemobile-ux-architect
Stars
4
Forks
0
Bundled files
9
LicenseMIT
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.

  • 9 bundled files

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

  • Open source

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

Installation

Install the Mobile Ux Architect 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/Xinvtech/mobile-design-os/tree/main/skills/mobile-ux-architect
  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/Xinvtech/mobile-design-os.git /tmp/mobile-design-os
mkdir -p .claude/skills
cp -r /tmp/mobile-design-os/skills/mobile-ux-architect .claude/skills/mobile-ux-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mobile Ux Architect 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 Mobile Ux Architect 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 Mobile Ux Architect 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.

Mobile UX Architect

Translate product intent into a traceable interaction structure. Define what each screen and state must accomplish without choosing visual style or drawing wireframes.

Select the mode

  • Create: derive a new UX architecture from a product brief.
  • Refine: resolve gaps, contradictions, or excess complexity in an existing flow.
  • Feature: insert a bounded feature into an existing navigation and object model.

Use mobile-product-brief first when the user problem, audience, activation, MVP boundary, or trust model is unresolved. Use mobile-reference-research for source discovery and analyze-mobile-ui for detailed reference analysis when reference products drive key decisions.

Establish the input contract

Prefer product-brief.json plus its human-readable brief. Validate the upstream JSON when its validator is available. Record:

  • Source brief path, schema version, and date.
  • Primary actors, scenarios, objects, constraints, and open decisions.
  • Required platform and device integrations.
  • Assumptions added by this Skill.

Stop and request a decision only when an unresolved issue changes the safety model, primary actor, core value loop, or MVP boundary. Otherwise proceed with a labeled assumption.

Follow the workflow

1. Create a requirement ledger

Translate the brief into stable R1, R2, and later requirement IDs. Preserve the source path and mark each item must, should, or could. Include product value, trust, accessibility, recovery, and platform requirements—not just features.

Do not silently add scope. New UX assumptions remain separate from upstream decisions.

2. Model actors and objects

Define each actor's goal, permissions, and ownership boundaries. Model durable objects and their lifecycle states before naming screens. Examples include invitation, membership, draft, order, check-in, delivery, permission, and widget configuration.

Read references/flow-modeling.md for actor, object, flow, and state rules.

3. Prioritize scenarios

List entry, activation, repeat-use, recovery, management, and exit scenarios. Assign critical, important, or supporting priority. Every must-have requirement must appear in at least one scenario.

4. Map user journeys

For each critical scenario, show trigger, user intent, steps, system feedback, friction or uncertainty, recovery, and observable outcome. Do not invent emotion as a fact; mark anticipated concerns as design risks.

5. Build decision-complete task flows

Create stable F1, F2, and later flow IDs. Include:

  • Entry conditions and deep links.
  • User actions and system responses.
  • Decisions and branches.
  • Permission denial, cancellation, timeout, offline, conflict, and partial failure where applicable.
  • Completion condition and safe exit.
  • Resume behavior after interruption.

Use Mermaid only when it materially clarifies branching. Keep the structured JSON authoritative.

6. Design information architecture

Choose top-level destinations from recurring user goals, not a desired tab count. Separate persistent destinations, hierarchical detail, modal tasks, global overlays, and system handoffs. Define back behavior, state preservation, deep links, and where unfinished work resumes.

Read references/mobile-ia-patterns.md before finalizing navigation.

7. Build the screen map

Assign stable S1, S2, and later screen IDs. For each screen specify:

  • Single responsibility and user question answered.
  • Entry points and exit destinations.
  • Primary and secondary actions.
  • Objects read or changed.
  • Required states and recovery.
  • Requirement and flow coverage.
  • Platform-specific expression where behavior differs.

Do not create a separate screen when a state, sheet, dialog, inline disclosure, or system surface is more appropriate. Do not specify color, typography, pixel layout, or decorative components.

8. Complete the state matrix

Cover applicable first-use, empty, partial, loading, slow, offline, failed, retrying, permission, account, object lifecycle, destructive, blocked, stale, expired, conflict, and accessibility-pressure states.

Every state needs a trigger, user-visible meaning, available action, recovery, and owning screen or surface. Never use a generic “error state” to hide distinct consequences.

9. Specify permissions and device surfaces

For each permission define contextual pre-prompt, system prompt trigger, denial behavior, restricted state, settings recovery, and core-value fallback.

For widgets, notifications, Live Activities, lock-screen controls, sensors, cameras, biometrics, and similar surfaces define activation, freshness, privacy exposure, tap destination, unsupported behavior, and platform differences. A system surface cannot be the only path to core value.

10. Preserve platform behavior

Define outcome parity separately from implementation parity. Record meaningful differences in navigation, back behavior, sheets, permission flow, widgets, system settings, target sizes, insets, text scaling, process restoration, and assistive technology.

11. Check traceability and complexity

Require:

  • Every must requirement maps to a scenario, flow, screen, and acceptance signal where applicable.
  • Every screen maps to at least one requirement or platform obligation.
  • Every destructive or sensitive action has confirmation, consequence copy, and recovery when possible.
  • Critical flows have non-happy paths and interruption behavior.
  • The architecture contains no orphan screen, dead-end state, or circular dependency without an exit.

12. Produce and validate

When files are requested or the Skill is part of a design workflow, create:

Run python3 scripts/validate_ux_architecture.py <path-to-ux-architecture.json> and fix every error. Treat warnings as review prompts.

When a low-fidelity layout contract is needed before visual styling, hand the validated architecture to mobile-wireframe; do not overload this Skill with visual layout decisions.

Enforce the output order

  1. Architecture summary and source contract.
  2. Requirement ledger and assumptions.
  3. Actors, objects, and lifecycle states.
  4. Prioritized scenarios and journeys.
  5. Critical task flows and recovery.
  6. Information architecture and navigation.
  7. Screen map and screen responsibilities.
  8. State, permission, and device-surface matrices.
  9. Platform differences, traceability, and acceptance signals.
  10. Open questions and confidence.

Run the quality gate

Read references/ux-architecture-rubric.md and revise every blocker before completing.

Do not finish until critical flows are decision-complete, must-have requirements are traceable, recovery is explicit, platform differences are meaningful, and the output remains visual-design agnostic.

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 Mobile Ux Architect AI skill do?

Turn a mobile product brief or feature definition into an actionable UX architecture covering actors, journeys, task flows, decisions, recovery paths, information architecture, navigation, screen map, object lifecycles, state matrix, permissions, device surfaces, and meaningful iOS/Android differences. Use before mobile wireframes, UI design, prototypes, or implementation, and when an existing mobile flow needs restructuring or completeness review.

Why use Mobile Ux Architect on TypingMind?

Because you install it once and use it with any model. Mobile Ux Architect 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 Mobile Ux Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Xinvtech/mobile-design-os/tree/main/skills/mobile-ux-architect. 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 Mobile Ux Architect?

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 Mobile Ux Architect?

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

Is the Mobile Ux Architect AI skill free?

Yes. It is published on GitHub by Xinvtech under the MIT 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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