top-app-ux-patterns
Skill2 starsChanged 38 days agoMITView on GitHub
Evaluate merchant workflow patterns from Shopify apps and adapt evidence-backed UX ideas.
In this repository35 other files it gives its agents.
- admin-graphqlSkill
- admin-restSkill
- app-accessibilitySkill
- app-authSkill
- app-billingSkill
- app-bridgeSkill
- app-frameworkSkill
- app-listing-optimizationSkill
- app-market-researchSkill
- app-namingSkill
- app-niche-finderSkill
- app-performanceSkill
- app-pricing-strategySkill
- app-release-readinessSkill
- app-validationSkill
- b2b-marketsSkill
- built-for-shopify-standardsSkill
- dev-troubleshootingSkill
- hydrogen-storefrontSkill
- liquid-themesSkill
- merchant-pain-preventionSkill
- metafields-metaobjectsSkill
- polaris-uiSkill
- shopify-app-store-adsSkill
- shopify-cliSkill
- shopify-connectionsSkill
- shopify-functionsSkill
- shopify-project-copilotSkill
- storefront-apiSkill
- using-shopify-app-builderSkill
- ux-empty-error-statesSkill
- ux-modern-app-feelSkill
- ux-onboardingSkill
- ux-polaris-antipatternsSkill
- webhooksSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Ask only for missing information that changes this task.
- Distinctive: line 20
Test your own implementation with novice and experienced merchant journeys.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Learn useful patterns without cloning apps
Start here
A pattern is a reusable interaction, not permission to copy a competitor's brand or assets.
First useful outcome: Compare the same merchant task across a few relevant apps. Ask only for missing information that changes this task. Inspect the existing project and use synthetic data before touching a merchant store. Explain the next action and its expected result in plain language; offer a recommended default with its tradeoff.
Guided workflow
- Choose the user task and current public examples or authorized trials.
- Record observable interactions separately from inferred conversion or revenue claims.
- Adapt useful hierarchy, feedback, setup and recovery patterns to installed Polaris components.
- Test your own implementation with novice and experienced merchant journeys.
Check it worked
Explain why each chosen pattern improves a specific task; verify it works in this app. Report what was changed, what was tested, and what still needs account access or live verification. Do not claim production readiness or approval from generated code alone.
If you get stuck
Top-rated does not prove a UX pattern causes growth; do not clone proprietary screens/assets. Give one safe next step and a redacted error example, not a list of speculative fixes.
Safety and optional depth
Use only the user's selected project/accounts. Never read credential caches or request secrets in chat; the operator configures the application's approved secret store. Ask before live deployment, store mutations, billing, publication or paid runs unless that exact action is already authorized. No MCP service is required by this plugin.
For concrete examples in an existing project, read only the relevant section of technical-guide.md. These retained v1.x examples are version-sensitive, not the default template. Verify SDKs, schema fields, CLI flags and platform rules with official documentation before using them.
Example request: "Use top-app-ux-patterns to help me with this task. Explain each change and verify it before moving on."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.